EP3248153A1 - Procédé de planification et de production d'un produit composé ainsi que module de production et commande de production - Google Patents

Procédé de planification et de production d'un produit composé ainsi que module de production et commande de production

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Publication number
EP3248153A1
EP3248153A1 EP16711205.1A EP16711205A EP3248153A1 EP 3248153 A1 EP3248153 A1 EP 3248153A1 EP 16711205 A EP16711205 A EP 16711205A EP 3248153 A1 EP3248153 A1 EP 3248153A1
Authority
EP
European Patent Office
Prior art keywords
production
product
copy
model data
product model
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.)
Withdrawn
Application number
EP16711205.1A
Other languages
German (de)
English (en)
Inventor
Wendelin Feiten
Gisbert Lawitzky
Michael Pirker
Kai Wurm
Vladimir Zahorcak
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 EP3248153A1 publication Critical patent/EP3248153A1/fr
Withdrawn legal-status Critical Current

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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
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/067—Enterprise or organisation modelling
    • 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
    • G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
    • G05B19/4097—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by using design data to control NC machines, e.g. CAD/CAM
    • G05B19/4099—Surface or curve machining, making 3D objects, e.g. desktop manufacturing
    • 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]
    • 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
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • 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
    • G06Q10/0633—Workflow analysis
    • 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
    • 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
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/49—Nc machine tool, till multiple
    • G05B2219/49023—3-D printing, layer of powder, add drops of binder in layer, new powder
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Definitions

  • Modern production systems for the manufacture or machining ⁇ processing of technical products generally have a variety of specific interacting production modules and are becoming increasingly complex.
  • a large number of processing, production, assembly or handling steps are to be carried out on a product to be produced, processed or assembled, for which purpose a large number of production modules specialized in this, such as robots, CNC machines, 3D printers, are used in the production system , Reactors, burners, heating or conveyor belts are provided.
  • Composite products are usually assembled by assembling several primary products.
  • a product may be, for example, a workpiece or product in various phases of a manufacturing, processing or processing process and in particular also a starting, preliminary, intermediate or end product.
  • a respective production module can in particular be a contributing to the production ⁇ tion, machining, assembly, processing and / or handling of the product device of the production system, such as a robot, a CNC machine, a 3D printer, a reactor, a burner, a heating system , a conveyor belt or another transport module.
  • data on a production step are read out and determines an available for carrying out the production step ⁇ production module from the product model data set.
  • the production step modeled a partial product generated at ⁇ hand the product model data set section wher- a record associated with a product instance, and producing part übermit ⁇ telt the determined production module.
  • the production step is an assembly step for combining partial product instances, in each case the determined production module is entered as a delivery destination for the respective partial product copy in sub-product model data records generated for the partial product instances.
  • the Production step is performed by the determined production module on an existing product copy there, the production step is executed, determined a promotion goal for the product copy from the product model record and passed the product copy to the determined transport destination.
  • the partial product model data sets are then each processed ⁇ wells essentially as the product model data set.
  • a significant advantage of the invention is to watch that no central planning authority is required for the organization of concrete production and assembly ⁇ processes generally.
  • assembly steps and other production steps can usually be assigned and executed without specific user intervention by decentralized processes specific production means.
  • the invention allows a flexible and rapid response to changes in production.
  • Advantageous embodiments and further developments of the invention are specified in the dependent claims.
  • the product to be produced may be assigned a product model, on the basis of which the product model data record for a respective product copy is generated.
  • Such envisionmo ⁇ delle as well as their sub-models can often be reused and composed especially for new product models. As a result, product modeling in many cases can be greatly facilitated.
  • the product model data set can in each case as technical program instance of the product model, preferably ⁇ , be generated in the sense of object-oriented programming.
  • the product model can trainees a formal semantic Be ⁇ spellings for the product and its subproducts include leading production steps.
  • descrip ⁇ bung at the semantic level the same product model can be used on different production systems.
  • the product model can be transmitted to a first production module , which generates the product model data record and initiates its processing.
  • the product model data record can be stored in the associated product copy and / or in association with an identifier attached to the product copy.
  • the Pro ⁇ duktmodell record or the identifier may be in a so-called RFID chip (RFID: Radio Frequency Identification) at least partially are stored, is attached to the product copy..
  • RFID chip Radio Frequency Identification
  • the product model data record may contain a specific production model data record for storing the data about the production steps to be performed and / or a data record concerning an identifier, a type, a position, dimensions, a status and / or paths of the assigned product instance traveled or to be traveled in the production system include.
  • the production steps in the product model data record can be assigned sequence information about an execution order of the production steps.
  • the capabilities and availability of the production modules may be determined on the basis of a formal semantic model of the production system, comprising a descrip ⁇ environment of production services of the production modules, state information on operating states of the production modules, and / or transport information on transport paths to or from the production modules.
  • a formal semantic model of the production system comprising a descrip ⁇ environment of production services of the production modules, state information on operating states of the production modules, and / or transport information on transport paths to or from the production modules.
  • the product model data record for a product copy to be produced can be managed as a virtual product copy, to which the product copy produced is assigned after production of the product copy.
  • the management of virtual product copies as information carriers allows an efficient decentralized organization of assembly and other production processes.
  • a quantitative together from partial product copies ⁇ translated product item may be assigned to that virtual product copy, by which the generation of the Generalpro ⁇ duktmodell records has been initiated for the partial product copies.
  • a production module that produces a Section.mo ⁇ dell record, enter this production module as Beförde ⁇ approximately targeted for the associated partial product specimen in the partial product model data and initiating its execution. In this way find decentralized produced
  • Partial product copies so to speak without knowing each other, their way to that production module, which joins the Operapro ⁇ duktexemplare.
  • partial product information about generated partial product model data sets and / or sensor data or data derived therefrom can be stored in the product model data record over a production process. This can be in many
  • FIG. 1 shows a production system with several production modules for producing a composite product.
  • FIG. 3 shows a structural production description for the production of the product
  • Figure 4 is a procedural production description for producing the product.
  • Figure 1 illustrates an inventive electronicsssys ⁇ system PS with a plurality of production modules, here PM1, PM2 and PM3 to produce a composite of a plurality of partial products the product P.
  • the product P and its partial ⁇ products may each be any physical product or sub-product or workpiece in different phases of a manufacturing, processing and / or processing process, in particular also a starting, preliminary, intermediate or end product.
  • the production system PS may be for example a Ferti generating installation.
  • production modules PM1, PM2 and PM3 in particular devices of the production system PS can be provided, which are used for production, processing, assembly, processing and / or Handling of the product P and / or its partial products.
  • the production modules PM1, PM2 and PM3 can each have specific functionality. Examples here ⁇ for particular robots, CNC machines, 3D printers, actuators reform, burners, heating systems and conveyor belts or other transport modules.
  • the production modules PM1, PM2 and PM3 can be so-called Cyber Physical Modules (CPM) or Cyber Physical Production Modules (CPPM).
  • the production modules PM1, PM2 and PM3 each contain a production control CTL in order, among other things, to control a production process of products.
  • the production control CTL is in each case part of a respective production module PM1, PM2 or PM3.
  • the production control CTL can also be the central or decentralized part of the entire production system PS.
  • a module-specific production control CTL allows decentralized process control, which in many cases can react very flexibly and quickly to changes in the production process.
  • the production modules PM1, PM2 and PM3 each represent a specific production service PRS1, PRS2 or PRS3 Pro ⁇ dutechnischssystem hp.
  • a production services PRS1, PRS2 or PRS3, which are often also referred to as Production Services ⁇ be may be provided a furnishing material, drilling, grinding, milling, construction from partial product copies and / or transport services.
  • a product model PMOD is transmitted to a first production module , here PM1, of the production system PS.
  • the product model is assigned to the PMOD to produzie ⁇ Governing product P and includes a formal semantic ⁇ specific description of the production steps to be performed for the product and its partial products.
  • the production control unit CTL of the production module PM1 uses a product model data set PI as the program-technical instance of the product model, preferably in the sense of Object-oriented programming generated.
  • the product model data record PI is assigned to a specific product instance to be produced. As long as the product copy has not yet been produced, this product copy to be produced or the assigned product model data record PI is managed as a virtual product copy VPE. As soon as a product copy PE has been physically produced on the basis of the product model record PI, the product copy PE produced is assigned to the virtual product copy VPE.
  • the product model data record PI comprises an identification ID which uniquely identifies a respective product copy PE. This can be eg a serial number. Corresponding eindeu ⁇ term identifiers ID1 and ID2 are provided for the partial product copies PPE1 and PPE2.
  • the product model data PI environmentally further aggregates data about production steps PST to be performed to produce the product P, for example reit eins- a description of machining assembly, manufacturing, loading and transport operations and / or a descrip ⁇ environment of this required production services.
  • At least part of the production steps PST is read out by the production module PM1 from the product model data set PI and checked. In particular, it is determined which production module of the production system PS is available for executing a respective production step. For this purpose, a respective production step with Kay ⁇ abilities of the production modules of the production system PS is compared, and suitability of a production module DES dynamically negotiated availability. The capabilities and availabilities of the production modules are determined on the basis of a formal semantic model of the production system PS.
  • a respective production step is physically executable by the determined production module on a product specimen existing or detected there, the execution of the production step is initiated by the production module PM1.
  • a partial product model ⁇ lines is generated here PPI1 or PPI2, one for producing partial product copy, VPPE1 or VPPE2 assigned here to the determined production module part ⁇ product model data set, or here PM2 .
  • the tested production step is an assembling step of assembling part of product copies, in which for the virtual partial product copies, here VPPE1, VPPE2, partial-product-model data sets generated here PPI1, PPI2 depending ⁇ wells the identified for carrying out the assembling step Pro ⁇ production module, here PM1 as transport destination DEST for producing partial product copies, here PPE1, PPE2 Schemetra ⁇ gen.
  • the producti ⁇ onsuzee PST contain an assembly step ASSEMBLE than see specific production step of joining the leaders to produzie ⁇ , ie virtual partial product copies VPPE1 and VPPE2.
  • ASSEMBLE it is determined that the production module PM1 itself is available for execution of the assembly step ASSEMBLE. Thus, the execution is initiated there. This through the assembly step
  • ASSEMBLE product copy to be merged is managed until its actual production as a virtual product instance VPE in association with the product model record PI. Because the are not yet produced, their production is initiated by the pro ⁇ production module PM1.
  • the partial product model data set PPI1 or PPI2 is generated on the basis of the product model data record PI.
  • the subproduct model data record PPI1 or PPI2 contains a semantic description of the production steps to be carried out for the respective subproduct and its subproducts.
  • the product model data record PI and / or the sub-product model data sets PPI1, PPI2 can thus include further sub-product model data sets in a re ⁇ italic manner and / or be associated with them.
  • the partial product PPI1 includes model data set, an identifier ID1 uniquely identifying the at produzie ⁇ Rende, virtual sub-product as well as the copy VPPE1 produ ⁇ ed partial product copy STICK.
  • Wei ⁇ terhin comprises the partial product model data PPI1 a description of the production steps PST1 to be carried out to produce the partial product copy VPPE1.
  • Beförde ⁇ approximate target DEST for the produced partial product copy STICKS in partial product model data PPI1 the production module is registered as the one production module PM1, which has instantiated the sub ⁇ product model data set PPI1.
  • the subproduct model data record PPI1 is transmitted by the production module PM1 to the production module PM2 available for the production of the subproduct copy PPE1.
  • the partial product model data set PPI2 generated for the virtual partial product instance VPPE2 to be produced is generated analogously to the partial product model data set PPI1 and comprises corresponding data related to the partial product copy VPPE2 to be produced.
  • the production module is registered PM1 that has instantiated the partial product model data PPI2.
  • the partial product model data set PPI2 is transmitted from the production module PM1 to the one used for the production of the partial product exemplars VPPE2 available production module PM3 averages over ⁇ .
  • the production module PM2 reads from the received subprojects duktmodell record PPI1 the description of the production steps PST1 and performs a specific production ⁇ PROD step of producing and / or providing the part to be produced product copy VPPE1.
  • the producti ⁇ ons intimid PROD is through the production services PRS2 excluded, the gegebe ⁇ providing the partial product copy PPI1 produced, after appropriate, recursive Delegation of other production processes by more production modules of the production system PS.
  • the produced partial product copy PPE1 is provided with the identifier ID1 contained in the partial product model data record PPI1 and conveyed by the production service PRS2 to the delivery destination DEST, ie to the production module PM1, specified in the partial product model data set PPI1.
  • the partial product copy PPE2 by the production services PRS3 of the production module PM3 is provided ⁇ if given after recursive Delegation of production processes.
  • the sub-product instance PPE2 is provided with the identifier ID2 contained in the sub-product model data record PPI2 and transported by the production service PRS3 to the transport destination DEST specified in the sub-product model data record PPI2, ie to the production module PM1.
  • the production module PM1 PPE1 and PPE2 as the virtuel- les partial product copy or VPPE1 VPPE2 managed partial product model data set is PPI1 or PPI2 PPE1 and PPE2 assigned to the partial product copies produced after the arrival of each ⁇ irri partial product instance. Then are assembled according to the assembly step ASSEMBLE the produced partial product ⁇ copies PPE1 and PPE2 by the production services PRS1 product copy PE.
  • the product copy PE produced is assigned the product model record PI managed as a virtual product instance VPE.
  • the product copy PE produced is labeled with the identifier ID as well as ID1 and ID2 of the partial product specimens and, for example, transported from the PS production system to a product warehouse.
  • FIG. 2 shows a semantic product model PMOD for a product P or partial product to be produced in a schematic representation.
  • product or product copy also means a partial product or a partial product copy.
  • dashed rectangles each identify a so-called ontology concept.
  • a dotted arrow from a first to a second ontology concept indicates that the first ontology concept is described by the second ontology concept.
  • An ontology concept for the product model PMOD comprises a production model PCMOD containing a formal semantic Be ⁇ spellings for the product P and its partial products from the feeding production steps.
  • the product model PMOD further comprises an identifier ID for unique identification of each product specimen, for example a Se ⁇ rien number, type information TYPE to indicate a product type of a respective product instance, a Positionsinfor ⁇ mation POS via a spatial position of a respective Pro duktexemplars, geometric information SIZEarguesgeleg about dimen solutions of each product specimen and / or substructures of the product instance, a membership Informa ⁇ tion OWN a membership of a particular product ⁇ instance, a history information LOG via a production process and / or in the production system PS te or Moving around the corresponding product copy and / or a state information STAT about a state de respective product copy. If necessary, further data for describing the product or its production in the product model PMOD can be mapped.
  • the production model PCMOD is described by a for ⁇ male semantic description SPROC production steps PST would take on the product and its sub-products. Such a semantic description indicates in particular a meaning of the production steps PST.
  • the semantic Be sensitive SPROC describes the production step PST in a way that the production steps PST thus are un ⁇ ter Kunststofflichen investments and / or System-wide Execute bar.
  • the semantic description SPROC is itself based on a semantic description APST of so-called atomic production steps. The latter are not meaningful further separable production steps, which are executable by aadosmo ⁇ module directly on a product copy. Furthermore, the semantic description SPROC based on ei ⁇ ner formal semantic description PPST of modeled partial products. The semantic description PPST is based in turn on product models PMOD of the respective subproducts.
  • the semantic description SPROC still based on ei ⁇ nem formal semantic model PSM of the production system PS.
  • the semantic model can in particular PSM tion module Seman a ⁇ schematic description of the production services of the production modules, state information about operating states of the production and / or transport information on transport routes to include or of the production modules.
  • Figure 3 shows a structural production description for producing the product in a schematic representation.
  • the product to be produced is a so-called tower of Hanoi HT.
  • the product HT comprises a base BASE of the tower of Ha noi and a ring RING as partial products. From base BASE a partial product copy B is to be produced. Furthermore, from the partial product RING, a first ring Rl and a second ring R2 are to be prepared as partial product examples.
  • An intermediate copy T is to be composed of the partial product copies B and Rl.
  • the partial product instances B, R1, R2 and T are each represented by an individual partial product model data set as described in connection with FIG. posed.
  • the assigned partial product model data records are managed as virtual partial product instances.
  • a spe ⁇ zifischer production step PROD is provided in each case.
  • For Rect ⁇ gen partial product items produced a specific production step ASSEMBLE is provided.
  • An execution order of the production steps is controlled by control operations SEQ and PAR, which together form a
  • the Kontrolloperati ⁇ on SEQ causes sequential execution of production steps, while the control operation PAR caused a parallel execution, or at least attempted. Advertising carried out in parallel to usually production steps from each other inde ⁇ pendent executable.
  • further control operations may be provided, for example for controlling an alternative and / or conditional execution of two or more production steps.
  • the partial product copy B is produced by executing the production step PROD (BASE) for the partial product BASE.
  • This production step PROD (BASE) is paral lel ⁇
  • a production step PROD (Rl) is carried out by the first ring Rl is produced.
  • ASSEMBLE (R, B) composed.
  • This (ring) is again carried out to ⁇ composition parallel to the production of the second ring R2 through the production step PROD.
  • the partial product specimens and T R2 finally, by means of the mounting step be ASSEMBLE (R2, T) to the Tower of Hanoi HT ⁇ sammenge Stahlgt.
  • Figure 4 shows a procedural production description for producing a product in a schematic representation.
  • the product to be produced is as in connection with FIG. 3 described the tower of Hanoi HT.
  • Figure 4 illustrates a description of the product to be carried out for the HT and for its partial products BASE and RING production ⁇ steps PST.
  • For the production of the partial product BASE production steps PST2 be carried out here- at the production steps PST1 and production of the sub ⁇ achess RING.
  • the production description includes control operators FORK, JOIN, SEQ and END_SEQ.
  • the control operators FORK and JOIN map a splitting or combination of parallel production processes.
  • the control operators SEQ and END_SEQ depict the beginning and end of a sequential chain of production processes.
  • the partial reference examples B, R1, R2 and T shown in FIG. 3 are assigned the same reference numerals in FIG. 4, as are the specific production steps PROD and ASSEMBLE as well as the partial products BASE and RING.
  • the production steps PST include atomic production steps PRINT, SUPPLY, MILL and DRILL.
  • production step-specific parameters param are specified for a respective atomic production step.
  • PRINT controls a printout, SUPPLY a supply of material or a precursor, MILL a milling operation, and DRILL a drilling operation on a respective product copy.
  • FIG. 4 is self-explanatory.
  • formal semantic models describe the production process. These are in particular the principlesmo ⁇ dell PCMOD and Product Model PMOD, which is preferably a complete specification of the product P.
  • the production model PCMOD is part of the product model PMOD and preferably includes a complete specification of the pro Waits ⁇ and particularly the assembly process.
  • the semantic models PMOD and PCMOD are machine readable and machine interpretable.
  • the model of Montageprozes ⁇ ses the control flow of the assembly by Kontrollope ⁇ SEQ generators, PAR etc. is specified.
  • Thusclarrma ⁇ SEN controls the product P using its product model PMOD or production model PCMOD and by means of the formal semantic model ⁇ rule PSM of the production model PS its own Mon ⁇ day or production.
  • the production of the product copy PE is characterized veran- let that the product model PMOD is here PM1, transferred to a suitable ermit ⁇ teltes production module and this initiates a concrete instance of the product model PMOD in the form of the product model data set PI.
  • This product model instance PI is assigned to the specific product copy to be produced, ie VPE before production and PE after production.
  • Such a production of the product P stanziierendes domestic production module, here PM1, including an off ⁇ aisle warehouse, an assembly unit and / or a processing station ⁇ can be.
  • the production description ie the description of the production steps PST, is processed step by step in the relevant production module. If the production step proves to be atomic, a production module available to execute the atomic production step is determined and the atomic production step is carried out there. The imple ⁇ tion of the atomic production step is effected by calling up a so-called Service Production of the production module determined. Assembly steps are modeled in a production module as well as producing steps as atomic.
  • data for each product copy is stored for each or at least a majority of the executed production steps.
  • Kings ⁇ nen also sensor data or variables derived therefrom are stored. Storage of the production history of each product copy allows efficient quality assurance ⁇ . If a plurality of partial product copies are assembled into a product instance, preferably a per ⁇ stays awhile identity of the partial product copies will be retained and associated with the composite product instance.
  • each partial product instance that is part of a composite product instance or other partial product instance is merged with the other partial product instances that are also part of the same composite product instance or partial product instance.
  • this production ⁇ tion module is preferably performed at each partial product copy which is initialized from a respective production module, entered as the transport destination in the respective General.mo ⁇ dell record.
  • Such transport destination can be entered eg as nuclear transport step in the production focus ⁇ scription.
  • the assembled product instance PE or partial product instance PPTE1, PPTE2 is assigned to the virtual product instance VPE or partial product instance VPPE1, VPPE2, which has caused the expansion of the production plan into partial production steps.
  • the vir ⁇ tual product instance waits a certain extent in the particular production module to the associated physical product instance. This organization is advantageous in that as the flow of product and sub-product data can be better controlled.
  • the partial product copies only need to get that information to the ⁇ se, which is necessary for their own production. Managing virtual product copies as an information carrier in decentralized production allows efficient discreetly ⁇ rale organization of assembly and production processes.
  • the same product model can be used on different production systems.
  • production and assembly planning can be derived automatically from the product model PMOD, and as a rule, without user intervention and without superordinate planning instance, in an efficient manner.
  • an effort to set up the production system PS is considerably reduced.
  • product models as well as their submodels can often be reused as ⁇ .
  • partial product models bre ⁇ ago created in this way can be sammennot to-new product models. This can greatly facilitate product modeling in many cases.
  • the decentralized, automatic and flexible production organization allows fast adaptation to changing production loads as well as to different products.

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Abstract

Selon l'invention, un enregistrement de données d'un modèle de produit (PI) est généré avec des données liées à des étapes de production (PST) à exécuter pour le produit (P) et pour ses sous-produits, et est associé à un exemplaire du produit à produire (VPE). À partir de l'enregistrement de données d'un modèle de produit (PI) sont lues des données liées à une étape de production (PROD, ASSEMBLE) et il est déterminé un module de production (PM1, PM2, PM3) disponible pour exécuter l'étape de production. Selon l'invention, si l'étape de production modélise un sous-produit, un enregistrement de données d'un modèle de sous-produit (PPI1, PPI2) est généré à l'aide de l'enregistrement de données de modèle de produit (PI) et est transféré au module de production déterminé. Si l'étape de production est une étape de montage (ASSEMBLE), le module de production déterminé est incorporé dans chaque enregistrement de données d'un modèle de sous-produit (PPI1, PPI2) en tant que cible d'acheminement (DEST) pour un exemplaire de sous-produit concerné. Si l'étape de production peut être exécutée par le module de production déterminé sur un exemplaire de produit (PE, PPE1, PPE2) présent-là, l'étape de production est exécutée, une cible d'acheminement (DEST) pour l'exemplaire de produit est déterminée à partir de l'enregistrement de données de modèle de produit (PI) et l'exemplaire de produit est transféré à la cible d'acheminement déterminée (DEST). Chaque enregistrement de données d'un modèle de sous-produit (PPI1, PPI2) est traité ensuite sensiblement comme l'enregistrement de données d'un modèle de produit (PI).
EP16711205.1A 2015-03-23 2016-03-15 Procédé de planification et de production d'un produit composé ainsi que module de production et commande de production Withdrawn EP3248153A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102015205173.0A DE102015205173A1 (de) 2015-03-23 2015-03-23 Verfahren zum Produzieren eines zusammengesetzten Produkts sowie Produktionsmodul und Produktionssteuerung
PCT/EP2016/055579 WO2016150772A1 (fr) 2015-03-23 2016-03-15 Procédé de planification et de production d'un produit composé ainsi que module de production et commande de production

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WO (1) WO2016150772A1 (fr)

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US20180218296A1 (en) 2018-08-02
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WO2016150772A1 (fr) 2016-09-29

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