MULTI-AGENT SYSTEM MODEL FOR DYNAMIC SCHEDULING IN FLEXIBILE JOB SHOP SUBJECT TO RANDOM MACHINE BREAKDOWN

This paper presents a model for dynamic scheduling in a smart manufacturing system that can be used in a manufacturing environment subject to random machine breakdown. We employ a multi-agent system (MAS) to schedule work on a system of machines in real-time. We propose that such a system should be...

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Bibliographic Details
Published inProceedings - Winter Simulation Conference pp. 1719 - 1730
Main Authors Ebufegha, Akposeiyifa, Li, Simon
Format Conference Proceeding
LanguageEnglish
Published IEEE 11.12.2022
Subjects
Dynamic scheduling
Electric breakdown
Job shop scheduling
Predictive models
Schedules
System performance
Uncertainty
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Summary:This paper presents a model for dynamic scheduling in a smart manufacturing system that can be used in a manufacturing environment subject to random machine breakdown. We employ a multi-agent system (MAS) to schedule work on a system of machines in real-time. We propose that such a system should be less sensitive to unforeseen disruptions to the system whilst yielding good results with respect to the total flowtime for parts requested of the system. The approach employed is a completely reactive approach, and as such has the benefit of not requiring the determination of a nominal schedule. Rather, we take advantage of self-organizing nature of the MAS to guide work scheduling. To evaluate the efficacy of our proposed model, we compare its performance to that of a system using predictive-reactive scheduling to solve a furniture manufacturing problem.
ISSN:1558-4305
DOI:10.1109/WSC57314.2022.10015488