WO2002014967A3 - Method for carrying out an automated production process - Google Patents
Method for carrying out an automated production process Download PDFInfo
- Publication number
- WO2002014967A3 WO2002014967A3 PCT/EP2001/009414 EP0109414W WO0214967A3 WO 2002014967 A3 WO2002014967 A3 WO 2002014967A3 EP 0109414 W EP0109414 W EP 0109414W WO 0214967 A3 WO0214967 A3 WO 0214967A3
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- variables
- influence
- product
- dependency
- production process
- Prior art date
Links
- 238000004519 manufacturing process Methods 0.000 title abstract 6
- 238000000034 method Methods 0.000 title abstract 5
- 238000011156 evaluation Methods 0.000 abstract 2
- 230000001537 neural effect Effects 0.000 abstract 2
- 238000004458 analytical method Methods 0.000 abstract 1
- 238000004364 calculation method Methods 0.000 abstract 1
- 238000005259 measurement Methods 0.000 abstract 1
Classifications
-
- 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]
- G05B19/41875—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 quality surveillance of production
-
- 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]
- G05B19/41885—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 modeling, simulation of the manufacturing system
-
- 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
- G05B2219/32—Operator till task planning
- G05B2219/32015—Optimize, process management, optimize production line
-
- 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
- G05B2219/32—Operator till task planning
- G05B2219/32017—Adapt real process as function of changing simulation model, changing for better results
-
- 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
- G05B2219/42—Servomotor, servo controller kind till VSS
- G05B2219/42135—Fuzzy model reference learning controller, synthesis, tune rule base automatically
-
- 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
- G05B2219/42—Servomotor, servo controller kind till VSS
- G05B2219/42137—Automatic tune fuzzy controller
-
- 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
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- General Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- General Factory Administration (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a method for carrying out an automated production process, wherein the production process is controlled based on the measurement of physical or chemical parameters of the product and/or the production processes and of disturbance values (product/process parameters). An analysis is made on which parameters characterize the quality and/or the quantity of the product and/or of the production process in a sufficiently exact manner and which adjustable or non-adjustable but variable product/process parameters influence the characterizing variables (variables of influence). The evaluation of deliberate or random changes in the variables of influence serves to detect the mutual dependency of the variables of influence and this dependency is saved as a dependency model (neuronal network). The dependency model allows calculation and adjustment of the optimum characterizing values and the pertaining adjustable variables of influence. The dependency model (neuronal network) is continuously developed in an automatic manner by evaluation of the process data derived from production.
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE10040731A DE10040731A1 (en) | 2000-08-17 | 2000-08-17 | Controling automated production process involves running virtual model with limited number of production parameters stored with real interdependencies determined from the process |
DE10040731.5 | 2000-08-17 | ||
DE10057346 | 2000-11-19 | ||
DE10057346.0 | 2000-11-19 |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2002014967A2 WO2002014967A2 (en) | 2002-02-21 |
WO2002014967A3 true WO2002014967A3 (en) | 2002-12-27 |
Family
ID=26006755
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/EP2001/009414 WO2002014967A2 (en) | 2000-08-17 | 2001-08-15 | Method for carrying out an automated production process |
Country Status (1)
Country | Link |
---|---|
WO (1) | WO2002014967A2 (en) |
Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE10208044B8 (en) * | 2002-02-25 | 2009-01-22 | Infineon Technologies Ag | Method and device for monitoring a manufacturing process |
DE102004046217A1 (en) * | 2004-09-22 | 2006-04-06 | Daimlerchrysler Ag | Method for analyzing production system, involves measuring values of two installation parameters and product parameter to provide spot-check element |
DE102005006575A1 (en) * | 2005-02-11 | 2006-09-07 | Battenberg, Günther | System for recording and evaluating user-dependent processes and / or components in automatic production and test processes |
EP3511784A1 (en) * | 2018-01-15 | 2019-07-17 | Covestro Deutschland AG | Method for improving a chemical production process |
CN110873699A (en) * | 2018-08-30 | 2020-03-10 | 广东生益科技股份有限公司 | Method, device and system for online quality control of bonding sheet and storage medium |
US11308245B2 (en) | 2019-01-08 | 2022-04-19 | Caterpillar Inc. | Systems and methods for facilitating evaluation of characteristics related to quality |
DE102020210967A1 (en) * | 2019-11-14 | 2021-05-20 | Sms Group Gmbh | Method and system for optimizing a production process in a production plant in the metal-producing industry, the non-ferrous industry or the steel industry for the production of semi-finished or finished products, in particular for monitoring the product quality of rolled or forged metal products |
CN113303489B (en) * | 2021-06-02 | 2022-08-12 | 红云红河烟草(集团)有限责任公司 | Method for accurately controlling moisture of tobacco leaves in tobacco shred making process |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5305221A (en) * | 1990-05-04 | 1994-04-19 | Atherton Robert W | Real world modeling and control process for integrated manufacturing equipment |
US5655110A (en) * | 1995-02-13 | 1997-08-05 | Advanced Micro Devices, Inc. | Method for setting and adjusting process parameters to maintain acceptable critical dimensions across each die of mass-produced semiconductor wafers |
US5826040A (en) * | 1992-03-24 | 1998-10-20 | Texas Instruments Incorporated | Method and system for production planning |
EP0901053A1 (en) * | 1997-09-04 | 1999-03-10 | Rijksuniversiteit te Groningen | Method for modelling and/or controlling a production process using a neural network and controller for a production process |
-
2001
- 2001-08-15 WO PCT/EP2001/009414 patent/WO2002014967A2/en active Application Filing
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5305221A (en) * | 1990-05-04 | 1994-04-19 | Atherton Robert W | Real world modeling and control process for integrated manufacturing equipment |
US5826040A (en) * | 1992-03-24 | 1998-10-20 | Texas Instruments Incorporated | Method and system for production planning |
US5655110A (en) * | 1995-02-13 | 1997-08-05 | Advanced Micro Devices, Inc. | Method for setting and adjusting process parameters to maintain acceptable critical dimensions across each die of mass-produced semiconductor wafers |
EP0901053A1 (en) * | 1997-09-04 | 1999-03-10 | Rijksuniversiteit te Groningen | Method for modelling and/or controlling a production process using a neural network and controller for a production process |
Also Published As
Publication number | Publication date |
---|---|
WO2002014967A2 (en) | 2002-02-21 |
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