Operation and Control of Manufacturing Systems by Agents with Local Intelligence

This paper examines a flexible flow shop problem that considers dynamic events, such as stochastic job arrivals, uncertain processing times, unexpected machine breakdowns and the possibility of processing flexibility. To achieve this goal, a new agent-based adaptive control system has been developed...

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Bibliographic Details
Published in2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence pp. 290 - 293
Main Authors Mitnovitsky, Michael, Shpitalni, Moshe, Cohen, Miri Weiss
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2013
Subjects
Decision making
Dynamic scheduling
Electric breakdown
flexible flowshop
Job shop scheduling
multi-agent system
Production facilities
resources allocation
Schedules
task sequencing
Uncertainty
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Summary:This paper examines a flexible flow shop problem that considers dynamic events, such as stochastic job arrivals, uncertain processing times, unexpected machine breakdowns and the possibility of processing flexibility. To achieve this goal, a new agent-based adaptive control system has been developed at the factory level, along with advanced decision-making strategies that provide responsive factories with adaptation and reconfiguration capabilities and advanced complementary scheduling abilities. The aim is to facilitate operational flexibility and increase productivity as well as offer strategic advantages such as analysis of factory development options by simulation. The feasibility of the proposed system is demonstrated by simulation under various experimental settings, among them shop utilization level, due date tightness and breakdown level.
ISSN:2377-0589
DOI:10.1109/BRICS-CCI-CBIC.2013.55