Monostori, László and Viharos, Zsolt János (2001) Hybrid, AI- and simulation-supported optimisation of process chains and production plants. CIRP ANNALS-MANUFACTURING TECHNOLOGY, 50 (1). pp. 353-356. ISSN 0007-8506 10.1016/S0007-8506(07)62138-6

Text Monostori_353_1021428_z.pdf Restricted to Registered users only Download (1MB) | Request a copy

Abstract

The paper describes a novel approach for generating multipurpose models of machining operations, combining machine learning and search techniques. A block-oriented framework for modelling and optimisation of process chains is introduced and its applicability is shown by the results of the optimisation of cutting processes. The paper illustrates how the framework can support the simulation-based optimisation of whole production plants. The benefits of substituting the time-consuming simulation by ANN models are also outlined. The applicability of the proposed solution is demonstrated by the results of an industrial project where the task was to optimise the size spectrum of the ordered raw material at a plant producing one- and multi-layered printed wires.

Item Type:	Article
Subjects:	Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions:	Research Laboratory on Engineering & Management Intelligence
SWORD Depositor:	MTMT Injector
Depositing User:	MTMT Injector
Date Deposited:	19 Jan 2022 07:27
Last Modified:	19 Jan 2022 07:27
URI:	https://eprints.sztaki.hu/id/eprint/10276

Update Item