system for optimizing the production of protudo packaging

专利摘要:
PRODUCT PACKAGING PRODUCTION OPTIMIZATION SYSTEM. The present invention relates to methods, systems and computer program products for optimizing the production of product packaging. The product packaging can be produced automatically to order, and can be optimized based on the information stored and / or in real time. In some modalities, a product packaging order is received and a system for real-time project optimization accesses information about one or more groups of projects. One or more groups of projects include several project options. The various configuration options are scored based on stored criteria and / or in real time. Based on the score, one or more well-scored projects are identified for the production and / or selection of a system operator.
公开号:BR112013000013B1
申请号:R112013000013-9
申请日:2011-06-28
公开日:2020-11-17
发明作者:Niklas Pettersson
申请人:Packsize, Llc；
IPC主号:

专利说明:

CROSS REFERENCE RELATED TO THE ORDER Cross Reference
This claim claims the priority and benefits of
provisional patent application serial number US 61 / 359,753, filed on June 29, 2010, and entitled "Product Packaging Production Optimization", which is incorporated here as a reference in its entirety. BACKGROUND 1. Background and relevant state of the art
With the increasing availability of goods, products and other items not only from a local market, but throughout a global market, they need appropriate packaging 15 such materials for their delivery and shipment, and this has never been more important. Fortunately, the available packaging systems can now be used to produce virtually any packaging style.
Perhaps the most important factor in producing packaging for a product is that the packaging is designed to fit the product as precisely as possible. With a more precise fit, the item or product contained in the packaging is not only less likely to be damaged, but the need for internal packaging is also reduced and possibly eliminated. In particular, when packaging materials, such as corrugated cardboard, are used to create a box or other packaging design, the materials are creased and folded as close to a right angle as possible. Creasing and bending at right angles increases the strength characteristics of the packaging material (essentially exponential), thus giving a resulting box a correspondingly greater resistance to damage when stacked.
Many different styles of boxes can, however, be produced to meet the specified dimensional limitations. Each of the different styles of boxes can have different advantages or disadvantages. For example, some box styles may be more aesthetically pleasing, while others may provide more protective features. Still other box styles can be produced more quickly and / or assembled, while others may need less material in their production, or less material for assembly, closing, or other manipulation of the box model.
Because of the large number of types of boxes and other packaging materials that can be produced, each with its own positive and negative characteristics, it can be very difficult for a person who is not familiar with a particular style of box to identify when certain styles can be used. Even if information about the types of styles is provided, it can be difficult and / or time consuming for a person to produce or assemble a box and analyze each available option and select the preferred option. In addition, in some circumstances, factors of production can influence in real time when a particular box is to be used. For example, if there is a production delay, it may be desirable to increase throughput by producing boxes that have shorter production times, even if the boxes produced have inferior aesthetics or protection, or require more production or assembly materials. In other cases, real-time information may indicate that there is overcapacity such that other considerations are given higher priority. BRIEF SUMMARY OF THE INVENTION
The present invention extends to systems, methods, machine, and computer program products to optimize product packaging production. A computer system receives information from the packaging production to produce a product packaging. The information on packaging production at least defines the size of the product packaging. The computer system accesses a plurality of different packaging designs. Each of the plurality of different packaging designs indicates the values for the combination of packaging production characteristics. The values indicated for the combination of the packaging production characteristics must be used to produce a product packaging according to the packaging design.
The computer system selects a packaging design from among the plurality of different packaging designs to produce the product packaging. The selection is based on the suitability of the selected packaging project to produce a product packaging according to the information on packaging production. The computer system sends instructions to produce the product packaging to a packaging machine. The instructions direct the packaging production machine to use enough available raw materials for the defined size and according to the selected packaging design.
This summary is provided to introduce a variety of concepts in a simplified way, which are further described below in the detailed description. This summary is not intended to identify the main or essential characteristics of the claimed matter, nor is it intended to be used as an aid in determining the scope of the claimed matter.
Other features and advantages of the invention will be presented in the description that follows, and in part will be obvious from the description, or can be learned by practicing the invention. The characteristics and advantages of the invention can be realized and obtained by means of instruments and combinations particularly indicated in the appended claims. These and other features of the present invention will become more apparent from the description below and the appended claims, or can be learned by practicing the invention as set out below. BRIEF DESCRIPTION OF THE DRAWINGS
In order to describe the manner in which the advantages and other features of the invention recited above can be obtained, a more particular description of the invention will be briefly described with reference to the specific modalities thereof, which will be illustrated in the accompanying drawings. It will be understood that these drawings describe only the preferred embodiments of the invention and are not intended to limit its scope. The invention will be described and explained with additional and detailed specificity by using the accompanying drawings, in which:
Figure 1 illustrates an example of a production architecture that facilitates the optimization of product packaging production.
Figure 2 illustrates a flowchart of an exemplary method for optimizing product packaging production.
Figure 3 illustrates an example of a packaging information table.
Figure 4 illustrates an example of a user interface for accepting packaging production information.
Figure 5A illustrates an example of a packaging materials table.
Figure 5B illustrates an example of a machine data table.
Figure 6 illustrates a flowchart of an example of the method for selecting a project for a product package.
Figure 7 illustrates an example of a user interface for presenting packaging designs. DETAILED DESCRIPTION OF THE INVENTION
The present invention extends to systems, methods, machine, and computer program products to optimize product packaging production. A computer system receives information from the packaging production to produce a product packaging. The information on packaging production, at least, defines the size of the product packaging. The computer system accesses a plurality of different packaging designs. Each of the plurality of different packaging designs indicates values for a combination of packaging production characteristics. The values indicated for the combination of the packaging production characteristics must be used when producing a product packaging according to the packaging design.
The computer system selects a packaging design, among the plurality of different packaging designs, to produce the product packaging. The selection is based on the suitability of the selected packaging project to produce a product packaging according to the information on packaging production. The computer system sends instructions to produce the product packaging to a packaging machine. The instructions direct the packaging production machine to use sufficient raw materials available for the defined size and according to the selected packaging design.
The embodiments of the present invention may comprise or use a specific or general purpose computer, including the computer hardware, such as, for example, one or more processors and system memory, as will be discussed in more detail below. The modalities within the scope of the present invention also include physical and other media that can be read by computer to carry or store instructions executed by computer and / or data structures. Such media read by computer can be any available media, which can be accessed by a general computer system or for special purposes.
Computer-readable media carrying computer-executable instructions are computer storage media (devices). Computer-readable media that carry computer-executable instructions is broadcast media. Thus, by way of example, and not as a limitation, the modalities of the invention can comprise at least two distinct types of media read by computer: computer storage media (devices) and transmission media.
Computer storage media (devices) includes RAM, ROM, EEPROM, CD-ROM, solid state drives ("SSDs") (eg, RAM-based), flash memory, phase shift memory ("PCM") , other types of memory, other optical storage discs, magnetic disk storage or other magnetic storage devices, or any other means that can be used to store the desired program code in the form of computer executable instructions, or data, and that can be accessed by a general computer system or for special purposes.
The "Network" is defined as one or more data links that allow the transport of electronic data between computer systems and / or modules and / or other electronic devices. When information is transferred, or provided over a network or other communication connection (either wired, wireless, or a combination of wired or wireless) to a computer, the computer correctly views the connection as a means of transmission . The transmission media can include a network and / or data links that can be used to transport or code means of the desired program in the form of instructions executable on a computer, or data structures, and which can be accessed by a computer. general use or for special purposes. The above combinations must also be included in the scope of computer-readable media.
In addition, upon reaching various components of the computer system, program code media, in the form of computer-executable instructions, or data structures can be transferred automatically from transmission media to computer storage media (devices) (or vice versa). For example, instructions executed by computer or data structures received over a network connection can be buffered in RAM inside a network interface module (for example, "NIC"), and then eventually transferred to the computer system RAM and / or at least volatile computer storage media (devices) in a computer system. Thus, it should be understood that computer storage media (devices) can be included in the computer component system, which also (or even mainly) use transmission media. Computer-executable instructions comprise, for example, instructions and data that, when executed on the processor, cause a general-purpose computer, special-purpose computer, or special-purpose processing device to perform a particular function or group of functions. Computer executable instructions can be, for example, binary instructions, of intermediate format, such as assembly language, or even source code. Although the object has been described in specific language for structural features and / or methodological acts, it will be understood that the matter defined in the attached claims is not necessarily limited to the features described or acts described above. Instead, the characteristics described and acts are disclosed as an example of ways to implement the claims.
Those skilled in the art will appreciate that the invention can be practiced in network computing environments, with many types of computer system configurations, including personal computers, desktop, laptop, message processors, portable devices, multi-processor systems, electronics based on microprocessors or programmable consumables, network PCs, minicomputers, mainframe computers, cell phones, PDAs, pagers, routers, switches, packet production machines, and the like. The invention can also be practiced in distributed system environments, where local and remote computer systems, which are connected by connections (with wired or wireless data connections, or by a combination of these), over a network, both perform the tasks. In a distributed system environment, program modules can be located on both local and remote memory storage devices.
The modalities of the invention can determine and select efficiently and automatically the ideal packaging models for the production of product packaging, such as, for example, box models. The determination and selection of packaging models can be based on product packaging information and defined packaging models, and in some modalities, together with one or more of the following: machine production data, packaging material data, and real-time considerations of the production environment. Packaging production machines can be instructed to produce product packaging according to selected packaging designs.
Figure 1 illustrates an example of production architecture 100, which facilitates the optimization of product packaging production. Referring to Figure 1, production architecture 100 includes production machines 102, system computer 104, and data store 106. Each of the represented components and machines are connected to each other in (or is part of) a network , such as, for example, a local area network ("LAN"), a wide area network ("WAN"), and the Internet. Thus, each of the computer systems described, as well as any other connected computer systems, machines and their components, can create data related to messages and exchange of data related to messages (for example, internet protocol datagrams ("IP" ) and other upper layer protocols using IP datagrams, such as Transmission Control Protocol ("TCP"), Hypertext Transfer Protocol ("HTTP"), Simple Mail Transfer Protocol ("SMTP"), etc. ) over the network.
As illustrated, the packaging production machine 102 includes production ranges 102A, 102B, and 102C. Each of the production ranges 102A, 102B, and 102C can be loaded with the packaging of raw materials, such as, for example, corrugated rolled or fanned cardboard. As illustrated, each of the production ranges 102A, 102B, and 102C, has a different maximum width for raw materials. As production ranges 102A, 102B, and 102C and produce product packaging (eg, box models), product packaging machine 102 can maintain a usage data storage location. The packaging production machine 102 may include a network card for network communication. From time to time or at desired intervals, a packaging production machine 102 can communicate usage data from the storage location to computer system 104 and / or data store 106. The vertical ellipse above and below the production machine packaging 102 represents that one or more additional packaging production machine can be included in production architecture 100.
Generally, data store 106 can store different types of information to optimize product packaging production. For example, data store 106 can store information for one or more packaging production machines, such as, for example, packaging production machine 102. Information stored for packaging production machines can include: types of machine of packaging production, the cost of operating packaging production machines, types of raw materials available in packaging production machines, and the design groups used to optimize packaging production for packaging production machines. As illustrated in production architecture 100, data store 106, more specifically, includes packaging design table 301, packaging materials table 501, and machine data table 502.
Computer system 104 includes optimization module 112. Generally, optimization of module 112 is configured to optimize product packaging production. In some embodiments, the optimization module 112 includes the functionality of real-time packaging product design. When a product package is to be produced, the optimization module 112 can refer to data store 106 to determine how to optimize the production of the product package. When optimization is determined, optimization module 112 can send instructions to a packaging production machine. The instructions f direct the packaging production machine to produce a product package according to the determined optimization.
In some embodiments, the computer system 104 and / or packaging production machine 102 uses all or part of the information from the stored data 106 to optimize what types and / or sizes of packaging molds should be made by the production machine 102 In some embodiments, the computer system 104 and / or packaging production machine 102 is also optimistic that packing material lists should be used to produce a product package.
In addition, although the packaging production machine 102, computer system 104, and data store 106 are represented separately, the components and data described on production machine 102, computer system 104, and data store 106 can be represented. combined. For example, it may be that the computer system 104 is physically integrated into the packaging production machine 102. Likewise, the data store 106 can be physically integrated into the computer system 104 and / or packaging production machine 102.
In some embodiments, a product packaging is a box model. The box model can also be manipulated, for example, folded and with the edges connected together, in order to form a box. Different types of boxes or other packaging can be used or desired for different projects. The box size may vary according to what is being placed inside the box. Other types of characteristics can also be considered in determining the type and / or size of the box that is desired for a particular use or application. Including a heavy or fragile object may, for example, require that a box of a certain type of material be used, or that a box that has better protective characteristics (for example, glue on the flap, integral corner protectors, size flaps) complete, etc.) are used.
Thus, as generally described, the components of production architecture 100 can be used to optimize packaging production based on any number of different characteristics or considerations. To facilitate the use of a production architecture 100 in identifying the appropriate packaging for an object, any number of different designs or types of packaging can be considered. Each type of packaging or project can have different shapes, styles, or other characteristics. For example, a design of upper and / or lower flaps, which are approximately half the width of the final box.
For other box designs, the upper and / or lower flaps can be the entire width of the box. These or other types of boxes may also include tabs with glue or mounting clips, have integrated corner protectors built into the upper and / or lower tabs, or have other characteristics or any combination thereof.
Figure 2 illustrates a flowchart of an exemplificative method 200 to optimize product packaging production. Method 200 will be described in relation to the components and data of computer architecture 100. During the description of method 200 references will also be made to Figures 3, 4, 5A and 5B.
Method 200 includes an act of receiving information about packaging production to produce a product packaging, information about packaging production at least defines the size of the product packaging (act 201). For example, computer system 104 can receive information from package production 111. Package production information 111 can define the size of a product package (e.g., a box). Packaging production information 111 can also include other information that module 112 optimization can be used to determine how to optimize product packaging production. For example, other information may include: the number of boxes to produce, a selected project group, production conditions, available packaging production machines, and cost of production time.
In some embodiments, the packaging production information 111 is formulated in an automated way to another computer system, or even within another module of the computer system 104. In other modalities, a human user enters the packaging production information 111 through of a user interface, for example, provided on a computer system 104 or some other local network. Referring briefly to Figure 4, the 401 user interface depicts different user interface controls for entering packaging production information. An operator or other user can use the 401 user interface to enter box dimensions, a number of boxes to produce, a selection from the project group, indicate production conditions, select available production machines, and indicate a cost production time. Per
For example, through the 401 user interface, a user can select the project group 302a and indicate that the packaging production machine 102 is available. The packaging production information entered via the 401 user interface can be included in the packaging production information 111. Method 200 includes an act of accessing a plurality of different packaging designs, each of a plurality of different packaging designs , indicates the values for the combination of packaging production characteristics, the values indicated for the combination of packaging production characteristics to be used in the production of a product packaging according to the packaging project (act 202). For example, computer system 104 can access packaging design table 301. Referring now to Figure 3, packaging table 301 has columns that include design groups 302, design features 310, preferred score 311, options 312, restrictions 308, and description 314. Project groups 302 include a series of project groups 302a, 302b, 302c, 302d, 302e, 302f, and so on. Each project group can include one or more major projects. For example, the project group includes major projects 302 to 304. Each major project can relate to a specified algorithm or another project that can be scored, evaluated, or otherwise related to other major projects in a corresponding project group.
The hierarchy can be established within the project groups. For example, main project 304a has several 306 packaging designs defined in it. Each 306 packaging project is related to the 306 packaging project of which it is a part. However, each of the 306 packaging designs includes at least one different value or different option in the characteristics of project 310, preferential score 311, options 312 and restrictions 308 that differentiates it from other 306 packaging projects. packaging 306 can be related to the same main project with different length, width and height, aggregate trays and separators within a project, or other characteristics or aspects common to a main project.
In some embodiments, main designs 304a may correspond to different types of boxes. For example, the main design 3304a can correspond to boxes with RSC designs, boxes with full flaps, boxes with integral corner protection, boxes with bottom cover construction with separate bottom and cover components. Other main 304 projects correspond to other types of packaging projects. Each packaging project can have one or more formulas associated with it that can be used to produce the project. For example, if a main project is used to produce a rectangular box, the formula may have the desired length, width and height for the assembled box. Based on the main design, a box model is produced. The box model can be folded to produce the box of desired length, width and height, and which also offers other features or elements of the particular main design.
Thus, the various packaging models 306 can be considered as subprojects within the main project 304a. Each of the 306 packaging models can use a similar one, or essentially with the same formula, even with some variation.
When appropriate, computer system 104 can also access one or more packaging material tables 501 and machine data table 502. Referring to Figure 5A, the packaging materials table 501 indicates aspects of one or more packaging materials. packaging materials that are available within production architecture 100, some of which may be available on the packaging production machine 102. For example, the packaging materials table 501 indicates aspects of the packaging material, such as, for example, name , type, width and thickness, quantity and cost.
Referring to Figure 5B, machine data table 502 indicates aspects of one or more packaging production machines in production architecture 100, including packaging production machine 102. For example, machine data table 502 indicates packaging production machine, including name, associated operating costs (for example, costs in relation to each second, which is required to produce a product package), the availability of different packaging materials, and etc.
Method 200 includes an act of selecting a packaging design, among the plurality of different packaging designs, to produce the product packaging, the selection based on the suitability of the selected packaging design to produce a product packaging according to the information on the production of packaging (act 203). For example, optimization module 106 can select packaging design 306a based on the availability of the product packaging design 306a to produce a product packaging (for example, a box model) according to the packaging production data 111. The contents of the packaging materials table 501 and / or machine data table 502 can also be considered when selecting packaging design 306a. Any number of different algorithms considering the packaging design table 301 and one or more of the packaging material tables 501 and the machine data tables 502 can be used for the selection of the packaging design.
In some embodiments, an algorithm processes one or more values and / or options from packaging design tables 301 and one or more values and / or options from packaging materials table 501 and / or machine data table 502 to generate punctuation values for different packaging projects. Based on the generated score values, the optimization module 106 can select a packaging design.
Method 200 includes an act of sending instructions to produce the product packaging to a packaging production machine, the instructions designate the packaging production machine to use enough available raw materials for the defined size and according to the design of the packaging. selected packaging (act 204). For example, computer system 104 can send production instructions 114 to packaging production machine 102. Packaging production instructions 114 designates packaging production machine 102 to use enough raw materials to create packaging from the product of defined size in the packaging production information and create the product packaging according to the packaging design 306a.
Other embodiments of the invention include establishing packaging information and then using the packaging information created to select a packaging design.
Figure 6 illustrates a flowchart of an exemplary method 600, for selecting a product packaging design. Method 600 will be described with reference to Figures 3, 4, 5a, 5b and 7.
Method 600 includes an act for defining project groups (act 601). For example, with reference to Figure 3, project groups 302 can be defined. Project groups 302 can normally relate to sets of different weights, preferences, restrictions and other considerations, or combinations thereof, that a user, operator, customer or other person or entity places on a particular project. For example, different groups of projects can be designed to be used with different products, different types of products (for example, fragile versus non-fragile, expensive versus cheap, etc.), from different customers, and the like.
Method 600 includes an act of creating a hierarchy within project groups (act 602). For example, each group of 302 projects can be configured with one or more different main projects 304. Each main project 304 can relate to a certain algorithm or other project that can be scored, evaluated, or otherwise related to other main projects 304 in project group 302. Each main project 304 can also be configured with one or more packaging projects. For example, main project 304a includes packaging projects 306.
The creation of a hierarchy within the grouped project can include assigning values to one or more of the following: project characteristics 310, preference score 311, options 312, restrictions 308, and description 314 for each packaging project. Thus, each packaging project 306 is related to main project 304a, but includes several different options. Consequently, the various packaging models 306 can be considered as subprojects within the main project 304a, and can use the same formula, or essentially the same formula, but with some variation. For example, different models of packaging 306 can relate to the same main project, with length, width, height and dimensions exchanged, aggregated trays and separators within a project or to other common characteristics or aspects of main projects 304a.
In some modalities, the creation of a hierarchy includes establishing main projects corresponding to the different types of boxes. For example, some of the main 304 models may correspond to boxes with RSC designs, boxes with full flaps, boxes with integral corner protection, boxes with bottom cover construction with separate bottom and cover components. Other main 304 projects correspond to other types of packaging projects. Each packaging project can have one or more formulas associated with it that can be used to produce the project. For example, if a main project is used to produce a rectangular box, the formula may have the desired length, width and height for the assembled box. Based on the main design, a box model is produced. The box model can be folded to produce the box of desired length, width and height, and which also offers other features or elements of the particular main design.
In some embodiments, a single type of packaging can be produced using the length, height and width chosen for the desired box. There are, however, up to six different combinations that can be obtained simply by varying the length, width and height. Thus, if a user enters the values for length, height and width, the various packaging models 306 can be related to different combinations (for example, using length as height, height as width and width as length). A user can enter the dimensions in one way and then the optimization module 106 can evaluate the dimensions in six different combinations. For example, a box can have the following dimensions: Dimension 1: 12 inches (30.48 cm) Dimension 2: 18 inches (45.72 cm) Dimension 3: 14 inches (35.56 cm)
This same box can also be described in any of the following ways: Length / width / height: - A: 30.48 cm by 45.72 cm by 35.56 cm - B: 30.48 cm by 35.56 cm by 45.72 cm - L: 45.72 cm by 35.56 cm by 30.48 cm - D: 45.72 cm by 35.56 cm by 30.48 cm - E: 35.56 cm by 30.48 cm by 45.72 cm - F: 35.56 cm by 45.72 cm by 30.48 cm
Ultimately, any of these combinations of the same dimensions can be used to produce a box that has the same general dimensions (that is, 12 inches (30.48 cm) by 18 inches (45, 72 cm) by 14 inches (35 , 56 cm)). However, as dimensions are introduced into the formula in a particular way, the size and shape of the two-dimensional model that can be folded to produce the specified size box may vary. In some cases, the width and length of the model may change according to the particular combination of length / width / height dimensions. Particularly, where a packaging production machine has limited access to a set of material types (for example, rolled corrugated or folding cardboard of particular widths), the size of the model can make a difference in the total cost to produce the box. Combinations of different dimensions can also affect the amount of materials used to assemble or close the box, the time to assemble the box, the difficulty in assembling the box, and the like. For example, the different dimensions of the boxes may require different amounts of glue or other adhesives, staples, strapping strips, or other materials used to prepare, lift, mark and / or close a box.
To illustrate, the dimensions entered for a first box model can be about 50 inches wide and about 64 inches long. The dimensions entered for a second box model can be about 80 inches (203.20 cm) wide and about 40 inches (101.60 cm) long. Thus, the total area of both the first box model and the second box model is 3,200 inches (20,645 cm2). The packaging production machine can have access to folding or laminated production materials that are 55 inches. (139.7 cm) wide and 100 in. (254 cm) wide. Thus, even if the total areas are the same, more packaging materials may be needed to produce the second box model.
For example, if the second box model is produced from 100 ”material. (254 cm) wide, 4000 in. (25.806 cm2) (ie 100 in. (254 cm) by 40 in. (101.6 cm)) of the production material are used for the second box model product . If the second case model is rotated and produced from 55 inches (139.7 cm) in width of the accordion, at 4400 inches (28,387.04 cm2), that is, 55 inches (139.7 cm) by 80 inches (203.2 cm), of the production material are used to produce the second box model. In contrast, the first box model can be produced from 55 inches (139.7 cm) wide of the material, such that the total material used is 3520 inches (22,709, 63 cm2), that is, 55 inches (139.7 cm) by 64 inches (162.56 cm).
Therefore, changing the way in which dimensions are entered to produce the same type of box can have an impact on the box or the cost of producing a box. The dimensions entered can also affect other aspects of packaging production. For example, for example, the structural strength of the box can also change (for example, when changing the length of a glue / clamp tab), the difficulty of assembly may increase, the aesthetic appearance of the box can be changed, or a certain number of other characteristics or aspects can be changed based only on the dimensions that are used as length, width or height, for example. In addition, other changes to the main design 304 can also be addressed within a subproject (for example, adding inserts or dividers to a tray or inside a box).
Creating a hierarchy within project groups can also include specifying one or more design features 310, such as, for example, aesthetics, work, production capacity, assembly / material costs, and protection for each packaging project. Creating a hierarchy can also include specifying the preferred 311 score for each packaging project.
Creating a hierarchy within project groups can also include specifying options 312 for each packaging project. For example, options 312 can be specified to indicate whether a project can be rotated, mirrored, and has multiple outputs for a given packaging project 306 or main project 304. Generally speaking, the rotated or mirrored versions of a main project (or for a particular packaging project) can generally have the same two-dimensional global dimensions as the model for a corresponding project. It can have advantages for a project rotation. For example, packaging materials (for example, accordion or corrugated laminate) may be available only in certain widths. A model that is 60 inches (152.40 cm) wide by 40 inches (101.6 cm) long can thus be produced from a saponated material that is 75 inches (190.5 cm) wide. However, by rotating the model, the same design can be produced using fan-fold material that is 42 inches (106, 68 cm) wide, which reduces the material consumption of the model's overall production.
For 306 packaging designs with multiple outlets enabled, multiple models can be produced side by side (or "stacked"). That is, the entire width of the production material (e.g., corrugated corrugated board) can be used to produce a plurality of (e.g., two) packaging products (e.g., box models) essentially in parallel. Multiple enabled outputs can allow multiple identical models to be produced side-by-side, or it can allow different designs to be produced side-by-side.
In the previous description, special mention is made of the size of other folded packaging material and / or the dimensions of the packaging and / or packaging models. It should be noted that these dimensions are merely exemplary and are provided to illustrate exemplary circumstances in which different variations of a project can be used. In the 301 packaging design table, there are no dimensions included for project groups 302, main projects 304, or packaging projects 306. Although this is purely optional, excluding dimensions may allow a wider range of packaging to be considered .
For example, instead of defining a project group for each product size or each possible packaging size, a definition similar to the packaging design table is more robust and allows product types to be assigned to each project group302 . Each main project 304 and packaging design subgroup 306 can have a formula for calculating the size of the packaging model in such a way that a wide variety of packaging sizes can be evaluated. In addition, in some modalities, a group of projects may be within the hierarchy of another group of projects. For example, when selecting a project group, one or more project groups and the packaging and / or main projects 304, 306 in these can also be considered.
In some embodiments, a computer or user system assigns 308 constraint values to a group of projects. Method 600 includes an act of assigning restrictions / limitations (act 603). In the packaging design table 301, main design 304 or packaging designs 306 can assign restrictions and / or limitations (for example, restrictions 308). For example, a packaging design to be assigned to a size restriction (for example, maximum dimension must be less than 34 inches (86.36 cm)). In this particular example, a packaging design can allow any dimension to be up to a specified value. If the dimension is greater than the specified value, there is a possibility that the model cannot be produced by a desired packaging production machine, which will be produced, with unwanted fold lines, or has some other characteristic, or a combination of these .
Any type of restriction or impediment can be assigned. For example, absolute size or dimensional constraints can be applied, relative size or dimensional constraints can be applied (for example, the length-to-width ratio can be less than 7: 1). Restrictions or impediments can limit or determine that a particular packaging production machine is used to produce the project, or that a particular quality of accordion material is used. Of course, other considerations can be used to identify restrictions and limitations. Thus, a constraint or limitation can be used to specify conditions that, when existing, exclude the particular project from other consideration or use.
In some embodiments, a computer or user system assigns a value for preferential score 311 or for other priorities or costs in a group of projects. Method 600 includes an act of assigning preferences / priorities / costs (act 604). Preferences or priorities can be assigned, in any number of different categories. For example, in the packaging design table 301 preferences or priorities can be assigned to project characteristics 310. Exemplary design characteristics that can be used in setting preferences, priorities, costs and the like include aesthetic appearance, working time, production costs, assembly / closing material costs, protection characteristics, or other preferences, or combinations thereof.
One or more (possibly all) combinations of values for projects of related characteristics 310 can be weighted. Values can be weighted and assigned automatically, or can be assigned by an engineer or another user, operator or person with knowledge of the system described here. For example, each different project resource can be weighted differently. If a particular design group 302 is likely to be used with fragile or resistant objects, the protective capacity of the box can be particularly important. On the other hand, if a design group 302 is to be used for expensive or sophisticated products, aesthetic appearance can be particularly important. For products with high volumes, working time, production capacity, assembly material costs, and the like can be highly valued.
Thus, each project group 302 can be considered by weighting the different characteristics related to project 310 in any number of different ways. In addition, the different design group 302 may have different types of main designs 304 and packaging designs 306 considered. For example, some groups of 302 projects may not consider boxes with integral corner protectors (for example, products that do not require any additional protection or that are of an odd shape), while only some groups of 302 projects may consider models that are produced in two or more separate parts (for example, a design group 302 for large products). Thus, each group of projects 302 can be customized not only in the way in which characteristics 310 are evaluated and weighted, but in which main projects 304 and / or packaging models 306 are included as options within the group of special projects 302.
A number of different characteristics of project 310 and a preferential score 311 are expressly described in the table of packaging designs 301. In some packaging projects, a value cannot be assigned for each of the characteristics of project 310 and / or for preferred score 311 In some modalities, none of the design features 310 are assigned values. Like this,
The preferred score value 311 can be a single value assigned to a particular project. The value of the preferential score 311 can be based on the particular combination of characteristics related to the project considered important for the group of projects. The preferred value can be a numeric value (for example, on a scale of 0 to 100), an alpha value (for example, a value between A and F), a cost value (for example, an associated cost to produce the based on project factors 310), or any other type of value, or a combination of these.
Method 600 includes an act of creating additional information (act 605). For example, referring to Figures 5A and 5B, the packing materials table 501 and machine data table 502 can also be configured. The packaging materials table 501 can be configured to describe aspects of one or more packaging materials that are available within production architecture 100. For example, the packaging materials table 501 describes aspects of the packaging material, such as the widths of the corrugated production materials that are available, the quantities available of such accordion materials, and the costs of each type of material. The machine data table 502 can be configured to describe aspects of one or more packaging production machines that are available within production architecture 100. For example, the machine data table 502 describes the machine production aspects of packaging, such as cost per second to operate (operating cost) and access to different sizes of packaging material.
The modalities of the invention include a real-time design optimization system that uses the information available to select or identify one or more ideal packaging models. Based on the project information, packaging material information and packaging production machine information, a project for a product packaging can be selected. The real-time project optimization system can also consider the information entered by the user for a specific job (for example, an operator) to facilitate the selection of the project.
Method 600 includes an act of entering information for a specific job (act 606). For example, returning briefly to figure 4 again, the real-time design optimization system can consider information about the specific job entered through the 401 user interface. Information about the specific job can indicate a job for a single job. box, several identical boxes, or several different boxes. When entering the information in the 401 user interface, an operator or another user can enter data, such as the project group that is to be used. As noted above, each group of projects can include different types of packaging models.
In addition, or alternatively, each project group can weight different characteristics related to the project in a different way. For example, as illustrated in the user interface, one or more 302 project groups identified, along with a basic description of that project group. The description can include size, weight, product category, or other information, which an operator can use to identify the group of projects, should be considered. In some embodiments, the various project groups are selected by the user for consideration.
Method 600 includes an act of updating information (act 607). For example, the 401 user interface has several fields that the user can enter in the dimensional information. An operator may know, for example, that a desired box has dimensions A, B and C, where such dimensions can be entered in the appropriate fields of the 401 user interface. Dimensional information can also be entered in a number of units many different. For example, the system can request dimensions in inches, feet, centimeters, meters or other dimensions. The user may also be able to specify what the input unit will be. For example, a drop-down box can allow the user to specify that units are provided in inches instead of centimeters.
Other information can also be entered. For example, in the 401 user interface, an operator or another user can enter information about production conditions. If an incident occurred that decreased or stopped production, this condition can be inserted. A checkbox or other input mechanism can be used to indicate that production has stopped or slowed down. The 401 user interface can also be used to enter a time charge. The cost of time can be increased when production is slow or is stopped. As described, the cost of time can be used to evaluate production time. For high production costs, a real-time optimization system can look for solutions that reduce production time. Additional information can also be entered. For example, additional information about the availability of corrugated or other production materials, the identification of production machines that are out of line, or other information, or combinations thereof, can also be specified.
Method 600 includes an act of identifying approved design solutions (act 608). For example, a real-time design optimization system can consider dimensional information and other information specified by a user in view of the design constraints to evaluate each major project in a specified project group. Projects that can satisfy information entered by the user in view of the project restrictions are identified as approved project solutions. A list of approved solutions can be presented to a user and / or stored (for example, in data store 106).
A real-time project optimization system can evaluate the restrictions or other restrictions specified for any project in the project group. If, for example, a project has a constraint that is not met (for example, size constraint, dimensional constraint, packaging production machine limitation, material quality limitations, etc.), that project can be excluded from a list of possible solutions available. Other restrictions or limitations can also be assessed. For example, the additional constraint may be related to the availability of folding or production machines (for example, it can only be produced on a particular machine), time costs (for example, only use if the time cost is lower to a certain value, or between certain values), or based on other factors, or any combination of these above.
Method 600 includes an act of calculating the material cost (act 609). For example, a real-time design optimization system can identify folding widths that are available on packaging production machines (for example, the packaging production machine 102). For each approved solution, the real-time design optimization system can calculate the amount of accordion material used to produce the project. The amount of accordion material used can be based not only on the mold of the packaging model, but on the general use of the accordion material based on the width of the fold.
Thus, a packaging model measuring 50 inches (127 cm) wide by 30 inches (76.2 cm) long can have an area of 1500 inches (9677.4 cm2). If, however, the packaging model is produced from the fold that measures 60 inches (152.4 cm) wide, the total material usage can be 1800 in2 (11612.88 cm2). A rotated version of the same design could potentially be produced from a fold measuring 32 inches. (81.28 cm) wide, such that the rotated version can be produced using material approximately 1600 in. (10322.56 cm2) of the accordion material. Thus, the calculation of the material cost can also include, consider the materials available for the packaging production machines, including their different sizes, qualities and quantities.
With the use of the known accordion material, a cost can be calculated. For example, for the accordion material to cost $ 0.03 per foot2, the total cost of 1600 inch2 of the accordion material can be around $ 0.33. The total cost of 1800 inches2 of accordion material can then be around $ 0.38. Therefore, based on the different widths of accordion material available, and the various major projects 304 and subprojects 306 within a group of projects 302, different costs can be obtained for the accordion material. In addition, different widths of accordion materials can have different associated costs. For example, the quality of the accordion material can vary in such a way that the cost of one accordion material is higher than the other (for example, the cost per square cm varies for different accordion materials). In other embodiments, the producer may wish to close the accordion material with a certain width so that a lower cost can be attributed to such accordion materials.
The amount of material used to produce a project and thus the cost of the material for a box or other packaging can be a factor in determining which box will be produced. However, other factors can also be considered. For example, as described, each packaging project or main 304, 306 within a project group 302 may have particular values or preferences assigned based on characteristics related to project 310.
Thus, a real-time project optimization system can consider a number of characteristics related to the project before identifying an ideal project.
For example, a box model produced with lower material costs may, however, have expensive assembly / closing materials, or a high cost associated with the box assembly work. These and other factors can offset the lower material cost, resulting in the selection of an alternative project. In other embodiments, the low-cost material design may also have poor aesthetic or protective capabilities. As a result, when a real-time project optimization system evaluates various aspects, a group of projects with high weightings or preferences for aesthetic qualities and / or protective qualities can also offset the lower cost of material related to one project over another.
Method 600 includes an act of assigning a preferential score (act 610). For example, a real-time design optimization system can assign a preferential score to each approved solution under act 608. Method 600 includes an act of combining material cost and preferential score (act 611). For example, a real-time design optimization system can combine material costs calculated from act 609 with preferential scores assigned from act 610.
Any desired algorithm for combining a preferred score and material cost, or otherwise producing the score value can be used. For example, a set of approved design options may include the following values and material cost values, as shown in Table 1:

The preferred values and material cost values for each project can then be combined in a way that produces an overall score. According to an example, the material and preferential cost values can be normalized and given the same weight when calculating the preferential score. For example, the preferred value for each project can be normalized by dividing each value by the maximum preferred value. Thus, project 5 can obtain a normalized preferential value of 1.00.
Material cost values can also be normalized. For example, the material cost value for each project can be normalized by dividing each value by the minimum material cost value. Thus, Project 2 can obtain a standardized material cost value of 1.00. If an assumption is made that a value that is twice the cost as project 2 has a normalized value of 0.00, then the normalized value can be obtained by the following equation:
Where:
NMCV is the minimum normalized cost value of the material MCV is the cost value of the material and MMCV is the minimum cost value of the material.
The standardized preferred values and the material cost values can then be equally weighted and added together. The projects classified by the score value table 2 show the score values for the projects in Table 1:
Thus, in Table 2, it can be seen that Project 4 has the highest score value according to the particular combination of material costs and the preferential values assigned in the group of selected projects. The preferred values used can be based on one or more algorithms or considerations that place different weights, preferences or priorities on different characteristics of the project 310. In addition, the standardization method described is only a mechanism for calculating a count value based on a preferential value and a material cost.
In other embodiments, material and / or preferential costs can be standardized, weighed, or otherwise used, or a combination of these, in other ways. For example, a preferential value can be translated into a direct cost that can be added to the cost of the material in such a way that the cost of material does not need to be standardized. In another embodiment, the cost of the material is normalized based on a difference between the minimum and maximum costs, rather than on the minimum cost of the material. In still other modalities, different calculations, algorithms, normalization, and / or other factors, or a combination of them, can be considered.
Method 600 includes an act of identifying the best solutions (act 612). For example, a real-time design optimization system can identify better solutions from Table 2. Thus, the score values in Table 2 may be used to limit the number of solutions for further or final consideration. In addition, a project group 302 can include a number of different main projects 304 and a series of packaging projects 306 as subprojects within a main project 302. In fact, it can easily be dozens if not hundreds or thousands of possible options that can be marked and considered. Thus, the score value is used to identify a set of best solutions, such as, for example, the ten best solutions. From Table 2, the seven best solutions can be identified, although more or less seven or ten solutions can also be identified as the best solutions.
Whether or not a series of better solutions are being identified, a real-time design optimization system can then choose a design to be used to produce a product packaging. In some modalities, the chosen project is selected based exclusively on the score value. In other embodiments, the best solutions can be provided to an operator through a user interface to allow user selection. The user interface can also indicate the relative score values and potentially the calculations or basis for calculating the score value.
In other modalities, the best solutions identified are treated later to refine the list of the best solutions. For example, the best solutions can still be evaluated based on production time. As noted here, production times can be particularly important in some industries and / or at certain times of production. During a busy production system, packaging production machines can create a bottleneck so that reducing production time will allow for greater throughput. At other times, slow or stalled production can also create a delay in production which increases the importance of production time. In other cases, production machines may have excess capacity available over time so that production is of little or no relevance.
Method 600 includes an act of simulating production time (act 613). For example, a real-time project optimization system can simulate the production time of the best solutions identified in act 612. In some modalities, the production time simulation is based on the knowledge that the real-time project optimization system maintains on one or more production machines. The production time can be simulated for the best solutions or all solutions based on the characteristics needs for the corresponding calculations.
As shown in Table 3, the seven best projects from the 10 previously identified projects were chosen for processing by simulating production time. While, the following table includes production time, an associated cost can additionally or alternatively be used. For example, if different machines are used and have different associated costs, the production value may have a cost value associated with the particular machine on which the project model will be produced.

Method 600 includes an act of combining production time with the preferred score and material cost (act 614). For example, a real-time design optimization system can combine the production time of act 613 with the preferred score of act 610 and the material costs of act 609. The production time can be normalized in a similar way as shown previously to normalize the cost of the material (ie, in such a way that Project 7 has a value of 1.00 and a project having twice the time to produce will have a normalized value of 0.00). Table 4 shows 15 the total scores for the seven main projects in Table 1. The total potency can weight the preferential value, material costs and production time equally.

As Table 4 shows, project 4 was given the highest total score, while for the best projects, project 3 has the lowest overall score. The values obtained for the score can be based on a sum of normalized 10 values, however, the average score, cost values, weighted sums, or other algorithms or ways to calculate the total score, can be used.
Method 600 includes an act of eliminating redundancies (act 615). For example, a real-time project optimization system 15 can eliminate redundancies from the projects in Table 4. The real-time project optimization system can further refine and / or process the scores and the project to identify those projects that they are at least significantly similar and potentially similar in all significant respects. For example, if all projects have identical or very similar preferential values, material costs, and / or production times, all, but one of such similar projects (ie, redundant) can be eliminated. In addition, or alternatively, consideration of redundancies for elimination may include the assessment of other aspects, including the type of project (eg, RSC, full flap, integrated corner protectors, bottom cover, etc.) or other aspects.
Method 600 includes an act of identifying the best solutions (act 616). For example, a real-time design optimization system can identify the main solutions in Table 4 (with or without eliminating redundancy). For example, the project with the highest score can be selected and transferred to production.
Alternatively, a number of main projects (for example, top 5 projects) can be selected. If a number of main projects is selected, any number can be used. For example, more or less 5 projects can be selected as the first number of main projects.
Method 600 includes an act of selecting a project for production (act 617). For example, a real-time project optimization system may select a project for production of a 102 production machine. In some embodiments, a real-time project optimization system automatically transfers the best-scoring project to production. In other modalities, however, an operator can be notified of the number of major projects, or, optionally, of all or some other number of models. For example, referring to figure 7, the user interface 701 allows an operator or another user the option to choose a project from among the best projects.
If the best three designs are provided to the operator, the operator can choose to do nothing, resulting in a better scored project to be transferred to production. The operator can actively select that the operator is not substituting the choice, or after a specified time, without operator selection, the main design can be transferred to the packaging production machine for the operation. Alternatively, if the operator wants a different project to be transferred to production, the operator can select one of the other options (for example, the projects ranked second to fifth) of projects. In yet another alternative, the operator can indicate that no solution is desired and the operator can choose a different project available (for example, one of the projects previously scored, but not among the best).
As still represented in the 701 user interface, images of the assembled box, box model, or some other image can be used to graphically illustrate the various boxes available. In other modalities, boxes are identified by information or just by name. Therefore, it should be noted that it is not necessary for an image of a box or model to be provided to the operator.
Consequently, the modalities of the invention include the production of automatically optimizing product packaging based on storage and / or real-time information. In some modalities, an order for a product package is received and a design optimization system accesses information in real time about one or more project groups. One or more project groups include several design options. The various configuration options are scored based on the stored and / or real-time criteria. Based on the score, one or more leading projects are identified for the production and / or selection of a system operator.
The present invention can be realized in other specific forms without departing from its spirit or essential characteristics. The described modalities should be considered in all aspects only as illustrative and not restrictive. The scope of the invention is therefore indicated by the appended claims and not by the preceding description. All changes that are within the meaning and scope of equivalence of the claims will be incorporated within <its scope.

权利要求:
Claims (14)
[0001]
1. Method for optimizing the production of product packaging in a computer system that includes one or more processors and system memory, the method being CHARACTERIZED by understanding: receiving (201) information from the production of packaging to produce a product packaging , the packaging production information, at least defines the size of the product packaging; access (202) a plurality of different packaging designs, each of which a plurality of different packaging designs, is associated with a unique preference score value, where the unique preference score value is calculated, at least in part, from a plurality of values of design characteristics, including values of material cost, aesthetics, working time, labor cost, protection capacity, material assembly / closing costs and production time; selecting (203, 600) a packaging design, among the plurality of different packaging designs, to produce the product packaging, the selection is based on the unique preference score value; select a packaging production machine to produce the product packaging according to the selected packaging design, the packaging production machine selected based on the characteristics of the packaging production machine, including raw materials available on the packaging production machine packaging, and send (204) instructions for producing the product packaging to the packaging production machine, the instructions designate the packaging production machine to use sufficient raw materials available for the defined size and according to the packaging design selected.
[0002]
2. Method according to claim 1, CHARACTERIZED by the fact that accessing a plurality of different packaging designs comprises accessing a packaging design table, the packaging design table contains entries for a plurality of different packaging designs, each one of the pluralities of different packaging designs indicates design characteristic values for the combination of packaging production characteristics, the indicated design characteristic values to be used in the production of a product packaging are in accordance with the packaging design.
[0003]
3. Method according to claim 1, CHARACTERIZED by the fact that selecting a packaging design, among the plurality of different packaging designs to produce the product packaging comprises: calculating a score of at least part of the plurality of different designs packaging; compare the calculated score to another.
[0004]
4. Method according to claim 3, CHARACTERIZED by the fact that calculating a score for at least part of the plurality of different packaging designs comprises: calculating scores based on one or more values for one or more between: aesthetic appearance, cost assembly material, cost of assembly work, protection capabilities, and production time; or apply real-time data to calculate the score for at least part of the plurality of different packaging designs, the real-time data being dynamically adjustable.
[0005]
5. Method according to claim 3, CHARACTERIZED by the fact that calculating a score of at least part of the plurality of different packaging designs comprises: selecting a particular packaging material size among a finite number of packaging material sizes packaging, and determining a quantity of packaging materials used to produce said product packaging using said selected packaging material size, wherein selecting a particular packaging material size comprises selecting a particular packaging material size with based on one or more of: determining how the selected packaging design can be rotated; determine whether the product packaging can be produced with multiple outlets; determine how the dimensions for the product packaging can be changed, and determine whether the product packaging can be mirrored.
[0006]
6. Method according to claim 4, CHARACTERIZED by the fact that applying real-time data to calculate the score of at least part of the plurality of different packaging designs comprises calculating points based on one or more estimated production times and costs estimated production of packaging production, production time and cost of production being productions that change dynamically when it is slow, delayed or stopped.
[0007]
7. Method according to claim 1, CHARACTERIZED by the fact that selecting a packaging design comprises determining a mold size for each of the pluralities of different packaging designs.
[0008]
8. Method according to claim 1, CHARACTERIZED by the fact that selecting a packaging design, among the plurality of different packaging designs, to produce the product packaging, comprises: determining an amount of corrugated folding material to produce the box required for each of the plurality of packaging models; and punctuating each of the plurality of packaging models based, at least in part, on the determined amount of corrugated accordion material to produce the required box.
[0009]
9. Method according to claim 8, CHARACTERIZED by the fact that selecting a packaging production machine to produce the product packaging comprises selecting the packaging production machine based on the determined amount of corrugated material to produce the required box .
[0010]
10. Method according to claim 8, CHARACTERIZED by the fact that it additionally comprises calculating the unique preference score value for a particular packaging design, wherein calculating the unique preference score comprises: scoring the particular packaging design based on in real-time data for the packaging system, including a production delay, slower production, or a production stoppage, in the packaging system; or score the particular packaging design based on: design characteristics of the particular packaging design, template options for particular packaging designs, and temporary restrictions for the particular packaging design.
[0011]
11. Method according to claim 1, CHARACTERIZED by additionally comprising: receiving, on the packaging production machine, the instructions, and producing the product packaging according to the packaging design selected from raw materials available for the packaging production machine.
[0012]
12. Computer system (100) configured to select a design to produce a box model, the box model convertible into a box, the computer system being CHARACTERIZED by comprising: one or more processors; at least one display unit, and one or more computer storage devices comprising recorded in the same steps that cause the computer system to select a design to produce a box model; means for receiving definitions from a plurality of design groups; means for hierarchically providing the plurality of design groups to include at least some of said plurality of design groups, a plurality of main designs, wherein one or more of said plurality of main designs includes in this a plurality of packaging models ; means for assigning restrictions applicable to one or more design groups, main designs, or packaging designs, where the restrictions include a requirement that a particular packaging design can be created only by a particular packaging production machine; means for assigning design feature values to one or more design groups, main designs, or packaging designs, design feature values including values for features including material costs in combination with one or more of the aesthetics, working time , labor cost, protection capacity, material assembly / closing costs and production time; means for calculating a unique preference score value for each packaging design based on each design characteristic value; means for receiving an order for a product package of a certain size and specifying one or more of the plurality of design groups; means for identifying one or more major designs and packaging designs within the established one or more design groups that are available to satisfy the product packaging order based on assigned restrictions; means for calculating a material cost to produce the box model using each available design; means for calculating the total score by the combination, for each available design, the corresponding calculated material costs, a respective production time, and a respective unique preference score value; and means for selecting a particular design that corresponds to the best total scores.
[0013]
13. Computer system according to claim 12, CHARACTERIZED by the fact that it additionally comprises means for scoring at least two available designs based on a simulated production time to produce the box model using the available design.
[0014]
14. Computer system according to claim 12, CHARACTERIZED by the fact that it further comprises: means for displaying an output interface of a display unit, the output interface identifies at least 10 a design with a high score; means for identifying a packaging design that was automatically selected based on a score; means for indicating one or more other packaging designs, in addition to the selected packaging design 15 automatically, and means for receiving a replacement selection, the replacement selection selects one of one or more other packaging designs to use during the production of the model Of box.

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WO2012006050A1|2012-01-12|

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EP2588302B1|2020-03-04|

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法律状态:
2018-03-27| B15K| Others concerning applications: alteration of classification|Ipc: G06F 17/50 (2006.01), B65B 5/02 (2006.01), B65B 59 |

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2018-12-26| B06F| Objections, documents and/or translations needed after an examination request according art. 34 industrial property law|

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2020-07-07| B09A| Decision: intention to grant|

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2020-11-17| B16A| Patent or certificate of addition of invention granted|Free format text: PRAZO DE VALIDADE: 20 (VINTE) ANOS CONTADOS A PARTIR DE 28/06/2011, OBSERVADAS AS CONDICOES LEGAIS. |

优先权:

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申请号 | 申请日 | 专利标题

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US35975310P| true| 2010-06-29|2010-06-29|

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US61/359,753|2010-06-29|

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PCT/US2011/042100|WO2012006050A1|2010-06-29|2011-06-28|Optimizing production of packaging products|

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