QUALITY-ORIENTED MODELLING AND OPTIMISATION OF PRODUCTION PROCESSES AND PROCESS CHAINS
L. Monostori, Z.J. Viharos
Abstract:
The paper presents a novel approach for generating multipurpose models of machining operations combining machine learning and search techniques. These models are intended to be applicable at different engineering and management assignments. Simulated annealing search is used for finding the unknown parameters of the models in given situations. It is expected that the developed block-oriented framework will be a valuable tool for modelling, monitoring and optimisation of manufacturing processes and process chains. The applicability of the proposed solution is illustrated by the results of experimental runs.
Keywords:
quality management, expert systems in decision making, technical diagnostics
Download:
IMEKO-WC-2000-QM-P562.pdf
DOI:
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Event details
Event name:
XVI IMEKO World Congress
Title:

Measurement - Supports Science - Improves Technology - Protects Environment ... and Provides Employment - Now and in the Future

Place:
Vienna, AUSTRIA
Time:
25 September 2000 - 28 September 2000
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