EP3928279A1 - Procédé et dispositif de sélection automatique d'un processus de production optimal - Google Patents

Procédé et dispositif de sélection automatique d'un processus de production optimal

Info

Publication number
EP3928279A1
EP3928279A1 EP20714918.8A EP20714918A EP3928279A1 EP 3928279 A1 EP3928279 A1 EP 3928279A1 EP 20714918 A EP20714918 A EP 20714918A EP 3928279 A1 EP3928279 A1 EP 3928279A1
Authority
EP
European Patent Office
Prior art keywords
industrial product
manufacturing
production
optimal
received
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP20714918.8A
Other languages
German (de)
English (en)
Inventor
Volker Franze
Markus Michael Geipel
Axel ROTTMANN
Kai Weinert
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Siemens AG
Original Assignee
Siemens AG
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Siemens AG filed Critical Siemens AG
Publication of EP3928279A1 publication Critical patent/EP3928279A1/fr
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41805—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by assembly
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing

Definitions

  • An optimal manufacturing process fulfills a certain number of desirable performance indicators for the industrial product purchaser, for example quality, number of items, costs, etc.
  • an important role here is that an industrial product is in most cases very complex and composed of various individual components. These individual components as well as the final production can be provided there by various industrial product manufacturers at different production stages.
  • the entire manufacturing process, beginning with the order, through manufacturing to delivery, requires intensive prior planning and constant analysis, control and correction.
  • Planning a manufacturing process for an industrial product that is optimal for the industrial product purchaser in accordance with his desired performance indicators across manufacturers is still a process that is usually carried out manually using means known in the prior art.
  • it is particularly important to analyze how an industrial product can be sensibly broken down into subcomponents for manufacture.
  • it must be analyzed how an optimal production of the industrial product has to take place in order to meet the required performance indicators.
  • it has to be analyzed which manufacturer can carry out the production with which production capacity and at which production location.
  • the manufacture of the industrial product or its individual components must be distributed to the previously analyzed manufacturing locations.
  • it must be analyzed whether the industrial product is completely outsourced, partially can be outsourced or manufactured completely in-house.
  • this object is achieved by a method and a device for automatic selection of an optimal production process for an industrial product with the features specified in claims 1 and 9.
  • the invention accordingly creates a method for automatic selection of an optimal manufacturing process for an industrial product with the following steps:
  • the device sends the manufacturing instructions to an industrial product manufacturer to determine necessary manufacturing conditions for the industrial product in accordance with the manufacturing instructions sent;
  • the device selects the optimal manufacturing process for the industrial product on the basis of the manufacturing conditions received.
  • a manufacturing process is to be understood as the complete process for manufacturing an industrial product. This begins with the commissioning of an industrial product purchaser to manufacture an industrial product and includes the core areas of pre-planning, transport, production, shipping and delivery of the manufactured industrial product to the industrial product purchaser.
  • the industrial product purchaser for example a buyer, orders the device according to the present invention to provide an optimal production process for a desired industrial product.
  • an industrial product manufacturer is to be understood as the one who has the machines, know-how and capacities to manufacture the made available industrial product and can make it available for manufacture at the time.
  • an industrial product description is to be understood as the specification of the industrial product, for example in digital form, in which the industrial product is specified.
  • the industrial product description includes the dimensions, the color, the functional description and the material from which the industrial product is made.
  • This exemplary list does not represent a restriction of the parameters contained in the industrial product description. Rather, further parameters can be included in the industrial product description.
  • the material parts list describes the number of individual components to be used for the manufacture of the industrial product.
  • the instructions for manufacturing and installing the industrial product are to be understood as manufacturing instructions. These manufacturing instructions can be broken down into individual manufacturing instructions.
  • the manufacturing instructions can include individual, separate manufacturing steps and / or assemblies, as well as their manufacture of the industrial product. In this regard, the production of the industrial product is divided down to the smallest sub-component and can therefore be produced by different industrial product manufacturers.
  • the present invention is based on the knowledge that there is a need to automate the planning in the manufacturing process.
  • all steps that were previously to be carried out manually, which are necessary for the production, in particular for the distributed production, of an industrial product over several and under different production locations and industrial product manufacturers can be automated, in particular optimally automated.
  • the industrial product, which has not yet been produced before can be sensibly broken down quickly, efficiently and automatically into individual manufacturing instructions. In this regard, an industrial product purchaser does not have to develop this ability for the production of his desired industrial product himself.
  • the selected optimal production process for the following production processes of the same or similar industrial products can be used in the same or in the same way for production, whereby production time and costs can be reduced.
  • the optimal manufacturing process for the industrial product comprises an optimal division of the industrial product into the manufacturing instructions and the industrial product manufacturers, as well as a mapping of the manufacturing instructions to the manufacturing conditions received from the industrial product manufacturer.
  • the manufacturing instructions necessary for the optimal manufacture of the industrial product are mapped to the available industrial product manufacturers with the corresponding manufacturing conditions.
  • the optimal manufacturing conditions of an industrial product manufacturer can be assigned to a manufacturing instruction, whereby the manufacturing process for this manufacturing instruction can be optimized and thus carried out in a time and cost-efficient manner.
  • the selection of the optimal production process for an industrial product is carried out by an artificial neural network trained with the received production conditions.
  • An artificial neural network can advantageously be trained on the basis of the manufacturing instructions and the manufacturing conditions provided by the industrial product manufacturer or manufacturers.
  • the optimal production process can be made available faster and more efficiently for the following and other comparable inquiries for the production of an industrial product.
  • industrial product manufacturers can thus be identified for specific industrial products or partial components with corresponding manufacturing conditions that are suitable for an optimal manufacturing process.
  • a complex analysis of available industrial product manufacturers and their manufacturing conditions for the industrial product is possible with less expenditure of time and money.
  • the artificial neural network can automatically select optimal manufacturing processes on the basis of the manufacturer conditions previously received and the selection of the manufacturer processes made in accordance with the manufacturer conditions received.
  • the artificial neural network comprises a “deep neural network (DNN)”, in particular a “convolutional neural network (CNN)” and / or a “recurrent neural network (RNN)” and / or a “deep feed forward network ".
  • DNN deep neural network
  • CNN convolutional neural network
  • RNN recurrent neural network
  • a DNN is an artificial neural network with multiple layers between the input and output layers.
  • the DNN searches for the correct mathematical manipulation of the data in order to convert the input into the output. Here he follows a linear or a non-linear relationship.
  • the network moves through the layers and calculates the probability for each issue. The goal is for the network to eventually be trained to break down data into features, identify trends in the data that exist across all samples, and create new data based on their Classify similarities without the need for human intervention.
  • DNNs can model complex nonlinear relationships.
  • DNN architectures generate composition models in which the object can be expressed as a layered composition of primitives.
  • the additional layers of the DNN enable the composition of features from lower layers, which means that potentially complex data can be modeled with fewer units than in a similarly powerful flat network.
  • the structure of a classic "convolutional neural network” consists of one or more “convolutional layers”, followed by a “pooling layer”. In principle, this layer can be repeated as often as required; if there are sufficient repetitions, one speaks of " Deep Convolutional Neural Networks "that fall into the field of deep learning.
  • the manufacturing conditions include producibility.
  • the production conditions include an amount of the production costs.
  • the production conditions include a point in time at which production begins. In an advantageous manner, it can be queried automatically when the production of an industrial product can be started. This enables the production process to be efficiently distributed and optimized for an industrial product with several separate individual components that are produced in a distributed manner.
  • the production conditions include a production period.
  • the manufacturing conditions include a point in time of the product delivery.
  • the manufacturing conditions include achievable performance indicators.
  • a performance indicator refers to a key figure which can be used to measure and / or determine the progress or the degree of fulfillment with regard to important objectives or critical success factors. In an advantageous manner, it can be automatically queried which performance indicators the respective industrial manufacturer can meet. These can be compared with the performance indicators required by the industrial product purchaser. This enables an optimal mated, more efficient and faster selection of suitable industrial product manufacturers for the production of the industrial product.
  • the manufacturing conditions include quality indicators that can be met.
  • quality assurance of the industrial product to be manufactured can be carried out automatically by prior automatic interrogation of quality indicators. Furthermore, ongoing manufacturing processes can advantageously be checked for their required quality through further queries.
  • the determination of the manufacturing conditions includes a simulation for manufacturing the industrial product, in particular a 2D / 3D CAD model, by the industrial product manufacturer.
  • the industrial product manufacturer can advantageously provide the industrial product manufacturer with a simulation of the industrial product to be manufactured and / or the manufacturing process in advance. This enables a more efficient and faster selection of the optimal manufacturing process.
  • the industrial product manufacturer can preferably provide the industrial product manufacturer with a 2D / 3D CAD model of the industrial product to be manufactured. This enables a more optimal and faster selection of the optimal production process, since the industrial product purchaser can already evaluate the result of the production and make possible changes before the actual production. Necessary changes after the start of production, which results in additional time and / or monetary costs, are avoided.
  • the determination of the manufacturing conditions includes manufacturing a Prototype of the industrial product by the industrial product manufacturer.
  • the industrial product purchaser can check the ordered industrial product by means of a prototype before the actual release of the manufacturing process. In this way, the selection of the optimal production process can be further optimized.
  • the optimal production process is made available to the industrial product purchaser as a digital document.
  • the industrial product purchaser is provided with at least one, preferably a multitude of optimal production processes in a digital document in accordance with the performance indicators required by the industrial product purchaser.
  • the industrial product purchaser can release the optimal manufacturing process for the industrial product and initialize the manufacture of the industrial product.
  • the digital document can include a portable document format (PDF), a JavaScript Object Notation (JSON) format, a word format, a SubRip text format, a text format and / or an EBU-STL format.
  • PDF portable document format
  • JSON JavaScript Object Notation
  • the optimal production process can thus be made available to the industrial product purchaser in editable and non-editable digital documents for the selection and approval of the optimal production process.
  • the optimal manufacturing process is made available to the industrial product purchaser via a web interface.
  • the industrial product manufacturer can thus independently of the manufacturing location, on a portable len device (e.g. tablet, laptop, smartphone) or a computer, for example via a web browser, analyze the selected optimal production processes and approve or commission them for the production of the industrial product.
  • the industrial product manufacturer can be provided with corresponding simulations of the industrial product for verification via the web interface.
  • the invention also provides a device for automatic selection of an optimal production process for an industrial product with the characteristics specified in claim 9 paint.
  • the invention accordingly creates a device for automatic selection of an optimal production process for an industrial product comprising:
  • a receiving unit which is designed to receive an industrial product description provided by an industrial product customer and a material parts list for the industrial product, the material parts list comprising a number of the respective individual components of the industrial product according to the industrial product description received and which is designed to include at least one manufacturing condition an industrial product manufacturer to receive the industrial product;
  • a checking unit which is designed to check whether egg ne manufacturing instructions for manufacturing the industrial product is also received
  • a generating unit which is designed to generate a manufacturing instruction for the manufacture of the industrial product based on the received industrial product description if no manufacturing instruction for the manufacture of the industrial product is received from the industrial product purchaser;
  • a disassembly unit which is designed to convert the generated or received manufacturing instructions for the manufacture of the industrial product into at least one manufacturing instructions, the to disassemble individual separate manufacturing steps and / or assemblies of the industrial product;
  • a sending unit which is designed to send the manufacturing instruction to at least one industrial product manufacturer to determine necessary manufacturing conditions in accordance with the manufacturing instructions sent to manufacture the industrial product;
  • a selection unit which is designed to select the optimal production sequence for the industrial product on the basis of the production conditions received from the receiving unit.
  • the optimal manufacturing process for the industrial product comprises an optimal division of the industrial product into the manufacturing instructions and the industrial product manufacturers, as well as mapping the manufacturing instructions to the manufacturing conditions received by the industrial product manufacturers.
  • the selection of the optimal manufacturing process for an industrial product is carried out by an artificial neural network trained with the received manufacturing conditions.
  • the device communicates with the industrial product purchaser and / or the industrial product manufacturer via a protected communication connection that includes wired or wireless communication.
  • the device can communicate with the industrial product manufacturer and the industrial product customer via a wired communication connection (USB, Ethernet, ISDN) or wireless communication connection (Bluetooth, WLAN) via a network, for example the Internet.
  • the communication connection can be via a protected or encrypted communication link, for example HTTPS, with encryption of the data by SSL / TSL.
  • certificates can be used to sign data for improved protection of communication and data exchange.
  • the device comprises a display element, in particular a touch display for displaying the optimal production process.
  • the device can include a display element for displaying the manufacturing process.
  • the display element can be positioned separately from the device for displaying the optimal production sequence.
  • a display element of another device that communicates with the device can be used.
  • the selection process can be displayed via the display element. In this regard, the industrial product purchaser can select an optimal production process during the selection process or end the selection process early.
  • the optimal production process is made available to the industrial product purchaser as a digital document.
  • the optimal production process is made available to the industrial product purchaser via a web interface.
  • the device is designed as a computer, a portable device, as a server and / or server network, in particular as a cloud system.
  • the invention also provides a computer program with Pro gram code for executing a method according to one of the preceding method claims when the computer program an electronic device.
  • the computer program can be provided as a signal by download or stored in a memory unit of a portable device with the computer-readable program code contained therein in order to cause a device to execute instructions according to the above-mentioned method.
  • the implementation of the invention by means of a computer program product has the advantage that existing electronic devices, for example computers, portable devices, smartphones, can easily be used by software updates in order, as proposed by the invention, to carry out an automatic selection of an optimal production process for an industrial product .
  • Fig. 1 is a block diagram to illustrate a possible
  • Embodiment for an automatic Selek animals an optimal production process for an industrial product
  • Fig. 2 is a flow chart to illustrate a possible
  • FIG. 3 is a block diagram to show an exemplary embodiment of a device according to the invention.
  • 4 shows a block diagram to illustrate a time sequence of a method according to the invention.
  • Fig. 1 shows a block diagram to show a possible embodiment for an automatic selection of an optimal production process for an industrial product.
  • reference numeral 10 denotes the device for automatically selecting an optimal manufacturing process 50.
  • the device 10 communicates via a protected communication link 18 over a network 40, for example the Internet with the industrial product purchaser 20 and the industrial product manufacturer 30.
  • the industrial product purchaser 20 provides an industrial product description 21 and a material parts list 22 for the manufacture of an industrial product to the device 10 via a protected connection 18.
  • the industrial product description 21 can, for example, be designed as a text and explain features and / or properties of the industrial product.
  • the industrial product description can be designed as a digital twin of the industrial product.
  • the device 10 On the basis of the industrial product description 21 provided by the industrial product purchaser, the device 10 generates manufacturing instructions 23 if these are not additionally provided by the industrial product purchaser 20.
  • the manufacturing instructions 23 for the industrial product specify the individual assemblies of the industrial product and the individual manufacturing steps that are necessary for manufacturing the industrial product.
  • the device 10 breaks down the production instructions 23 generated or received into at least one production instruction 19, which is provided via a protected communication link 18 to at least one, preferably several industrial product manufacturers 30, with different production locations. This has the advantage that a complex industrial product is mapped to individual and less complex and time-consuming sub-steps, and the manufacturing process can thus be optimized through distributed manufacturing.
  • the industrial product manufacturers provide manufacturing conditions 31 for manufacturing the industrial product via the protected communication connection of the device 10.
  • the manufacturing conditions 30 include, for example, the producibility of the industrial product. In this way, the industrial product manufacturer credibly confirms whether the industrial product or a sub-component of the industrial product can be manufactured.
  • the manufacturing conditions 30 include, for example, the amount of the production costs, the time of production start, the production duration, the time of product delivery, he fillable performance indicators and / or achievable quality indicators.
  • the device 10 receives the manufacturing conditions 31 and, on the basis of the received manufacturing conditions 31, selects an optimal manufacturing process 50 for the manufacture of the industrial product.
  • the optimal production process 50 provided preferably comprises a large number of op- timely manufacturing processes that were selected according to performance indicators provided by the industrial product purchaser 20.
  • the industrial product purchaser 20 can select from the multitude of optimal production processes 50 that which best meets the requirements in terms of time, costs and / or efficiency.
  • the optimal manufacturing process 50 is provided via the protected communication link 18 as a digital document.
  • the optimal production process is made available to the industrial product purchaser via a web interface.
  • the device 10 can provide a data exchange, for example a digital document, between the device 10 and the industrial product purchaser 30 and the device 10 and the industrial product manufacturer 30.
  • the digital document can preferably contain a non-disclosure agreement and / or contractual conditions for the manufacture of the industrial product, which are confirmed by a digital signature or digital signature.
  • Fig. 2 shows a flow chart to illustrate a possible embodiment of a method according to the invention
  • method 1 comprises several steps.
  • a device 10 receives an industrial product description 21 provided by an industrial product seller 20 and a material parts list 22 for the industrial product.
  • the material parts list 21 comprises a number of the respective individual components of the industrial product according to the received industrial product description 21.
  • a second step S2 it is checked whether a manufacturing instruction 23 for the manufacture of the industrial product provided by the industrial product purchaser 20 is also received.
  • manufacturing instructions 23 for manufacturing the industrial product are generated on the basis of the received industrial product description 21 if no manufacturing instructions 23 for manufacturing the industrial product are received from the industrial product purchaser 20.
  • step S4 the generated or received manufacturing instructions 23 for the manufacture of the industrial product are broken down into at least one manufacturing instruction 19.
  • the individual manufacturing instruction 19 comprises individual, separate manufacturing steps and / or assemblies of the industrial product.
  • the production of the industrial product can be divided into, for example, the production of a printed circuit board, production of the housing, assembly of the printed circuit board, assembly of the printed circuit board and the housing.
  • step S4 a large number of manufacturing instructions can be generated, all of which represent a possibility for manufacturing the industrial product.
  • the manufacturing instruction 19 is sent to at least one industrial product manufacturer 30 to determine the necessary manufacturing conditions 31 for the industrial product in accordance with the manufacturing instruction 19 sent.
  • Sending the manufacturing instruction 19 is a request to the industrial product manufacturer as to whether, for example, its manufacturing location can manufacture the industrial product or a sub-component of the industrial product in the appropriate time, with appropriate materials, with appropriate quality and cost.
  • the determined manufacturing conditions 31 of the industrial product manufacturer 30 for the manufacture of the industrial product are set by the device 10 receive.
  • Each industrial product manufacturer 30 and each manufacturing location of the industrial product manufacturer 30 determines whether the desired manufacturing instruction 19, in particular the assembly and the work step, can be manufactured and performed.
  • each industrial product manufacturer 30 determines the conditions under which the assembly can be manufactured and the work step can be carried out. This determined information is provided as manufacturing conditions 31 of the device 10.
  • an optimal production sequence 50 for the industrial product is selected based on the received production conditions 31.
  • An optimal manufacturing process can preferably be selected from all the manufacturing conditions 31 provided, in particular all offers from the industrial product manufacturers and manufacturing locations for manufacturing the industrial product, which includes an optimal division of the industrial product into assemblies and manufacturing steps and a possible sequence of manufacturing locations and industrial product manufacturers. This can be provided to the industrial product purchaser 20 to approve the production of the industrial product according to the optimal production sequence.
  • the provided manufacturing conditions 23 can be used to automatically train an artificial neural network.
  • the artificial neural network can be trained on the basis of the manufacturing conditions 23 and the corresponding manually selected or selected manufacturing process 50.
  • the trained artificial neural network can be used to select an optimal manufacturing process.
  • a plurality of optimal manufacturing processes are provided and in accordance with performance indicators specified by the industrial product manufacturer 20 listed.
  • the industrial product purchaser 20 selects the optimal production process for himself and can approve or commission the production of the industrial product with respect to the device 10.
  • the device can, on the basis of the approved manufacturing process, agree and initiate the manufacture of the industrial product with the respective industrial product manufacturers and the manufacturing locations.
  • Fig. 3 shows a block diagram to illustrate an exemplary embodiment from a device according to the invention.
  • the device is shown as an example for the automatic selection of an optimal production process for a chair, but is not limited to this.
  • reference numeral 10 denotes a device for automatically selecting an optimal production run 50 for the manufacture of a chair.
  • the device 10 comprises a receiving unit 11 which is designed to receive an industrial product description 21 provided by an industrial product customer 20, for example the construction and design plan of the chair.
  • the device 10 is designed to receive a material parts list 22 for the chair.
  • the material parts list 22 comprises a number of the respective individual components of the industrial product corresponding to the received industrial product description 21, for example the necessary chair elements, screws, glue and the material to be used.
  • the device 10 is designed to receive at least one production condition 31 from an industrial product manufacturer 30 for the production of the industrial product.
  • the device further comprises a test unit 12 which is designed to test whether a manufacturing instruction 23 for manufacturing the chair is also received.
  • the device comprises a generation unit 13, which is designed to provide manufacturing instructions 23 for manufacturing Development of the chair based on the received Industrie.be description 21 if no manufacturing instructions 23 for the manufacture of the chair from the industrial product orderer 20 is received.
  • the manufacturing instructions 23 include a description of how the chair is constructed and how it is to be manufactured.
  • the device 10 further comprises a dismantling unit 14, which is designed to dismantle the generated or received manufacturing instructions 23 for manufacturing the chair into at least one manufacturing instruction 19.
  • the manufacturing instruction 19 comprises individual, separate manufacturing steps and / or assemblies of the chair. This provides a detailed overview of the individual assemblies and elements of the chair. In addition, the respective manufacturing steps can be identified, which enables distributed manufacturing by different chair manufacturers at different manufacturing locations.
  • the device 10 comprises a transmitting unit 15, which is designed to send the manufacturing instruction 19 to at least one industrial product manufacturer 30 to determine necessary manufacturing conditions 31 in accordance with the transmitted manufacturing instruction 19 for manufacturing the chair.
  • an industrial product manufacturer 30 can determine the manufacturing conditions for the manufacture of the chair or a chair component on the basis of the disassembled and thus detailed manufacturing instructions. In particular, whether the industrial product manufacturer 30 has the appropriate capacity to manufacture, the corre sponding processes and the necessary know-how to produce the chair according to the manufacturing instructions and requirements for quality, costs, material, time and amount to he fill.
  • the device 10 comprises a memory unit for storing and / or temporarily storing the manufacturing conditions and / or a selected optimal one Manufacturing process.
  • the storage unit comprises, for example, a hard disk (HDD), a random access memory (RAM), a flash memory and / or an external storage device which is connected to the device 10.
  • the device 10 further comprises a selection unit 16 which is designed to select the optimal production process 50 for the industrial product on the basis of the production conditions 31 received from the receiving unit 11.
  • the selected optimal production process 50 can be made available to the industrial product purchaser 20 on a display element 17 (not shown), in particular a touch display.
  • the selected optimal production process 50 can be provided to the industrial product purchaser 20 by means of a digital document.
  • the selected optimal production process 50 can be provided to the industrial product purchaser 20 via a web interface.
  • Fig. 4 shows a block diagram to illustrate a temporal sequence of a method according to the invention.
  • a device 10 receives an industrial product description 21 provided by an industrial product purchaser 20, as well as a material parts list 22 for the industrial product.
  • the material parts list 22 comprises a number of the respective individual components of the industrial product according to the received industrial product description 21.
  • a manufacturing instruction 23 for manufacturing the industrial product provided by the industrial product buyer 20 is also received.
  • a manufacturing instruction 23 for manufacturing the industrial product based on the received industrial product Description 21 is generated if no manufacturing instructions 23 for manufacturing the industrial product are received from the industrial product customer 20.
  • the generated or received manufacturing instructions 23 for manufacturing the industrial product are broken down into at least one manufacturing instruction 19.
  • the manufacturing instruction 19 can comprise individual separate manufacturing steps and / or assemblies of the industrial product.
  • the manufacturing instruction 19 is sent by the device 10 to at least one industrial product manufacturer 30 to determine the necessary manufacturing conditions 31 for the industrial product in accordance with the manufacturing instruction 19 sent.
  • the determined manufacturing conditions 31 of the industrial product manufacturer 30 for the manufacture of the industrial product are received by the device 10.
  • the optimal production process 50 for the industrial product is selected by the device 10 on the basis of the received production conditions 31.
  • the present invention relates to a method for automatically selecting an optimal production process for an industrial product with the following steps: Receiving from a device an industrial product description provided by an industrial product buyer and a material parts list for the industrial product, the material parts list being a number of the respective individual components of the industrial product according to the received industrial product description;
  • the device sends the manufacturing instructions to an industrial product manufacturer to determine necessary manufacturing conditions for the industrial product in accordance with the manufacturing instructions sent;
  • the device selects the optimal manufacturing process for the industrial product on the basis of the manufacturing conditions received.
  • the present invention also relates to a device and a computer program product.
  • an optimal manufacturing variant for manufacturing the industrial product is automatically provided.

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Abstract

La présente invention concerne un procédé de sélection automatique d'un processus de production optimale d'un produit industriel. La présente invention concerne également un dispositif et un produit programme informatique. Pour cela, une variante de production optimale est prévue automatiquement pour la production du produit industriel.
EP20714918.8A 2019-04-01 2020-03-17 Procédé et dispositif de sélection automatique d'un processus de production optimal Pending EP3928279A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP19166537.1A EP3719736A1 (fr) 2019-04-01 2019-04-01 Procédé et dispositif pour une sélection automatique d'un processus de fabrication optimal
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