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Conceptual Design of a Self-optimising Production Control System
Author(s) -
T. Mittag,
Jürgen Gausemeier,
Iris Graessler,
Peter Iwanek,
D. Koechling,
M. T. Petersen
Publication year - 2014
Publication title -
procedia cirp
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.683
H-Index - 65
ISSN - 2212-8271
DOI - 10.1016/j.procir.2014.10.033
Subject(s) - production (economics) , control (management) , conceptual design , conceptual model , computer science , core (optical fiber) , production control , engineering , control engineering , artificial intelligence , telecommunications , human–computer interaction , database , economics , macroeconomics
Current production control systems cannot react appropriately to unknown situations (e.g. the dispatch of rush jobs). They are only able to react on known situations with a predefined behaviour. In this paper the paradigm of self-optimisation will be transferred to the production control level by using a procedure model to design a self-optimising production control system. The production control is then able to react autonomously on changing operational conditions and to deduce new reaction strategies for occurring faults or disturbances. A rule based decision model is the core of the conceptual design. It is based on known and possible future faults and deducts reaction strategies. Simultaneously to them, a simulation model will be proposed, that simulates and evaluates suitable strategies

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