Flexible job-shop scheduling/rescheduling in dynamic environment: a hybrid MAS/ACO approach |
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Authors: | Sicheng Zhang Tak Nam Wong |
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Affiliation: | 1. National Center of Mathematics and Interdisciplinary Sciences, Academy of Mathematics &2. System Sciences, China Academy of Sciences, Beijing, China;3. Department of Industrial &4. Manufacturing System Engineering, The University of Hong Kong, Hong Kong, HKSAR of China |
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Abstract: | In real-world manufacturing, disruptions are often encountered during the execution of a predetermined schedule, leading to the degradation of its optimality and feasibility. This study presents a hybrid approach for flexible job-shop scheduling/rescheduling problems under dynamic environment. The approach, coined as ‘HMA’ is a combination of multi-agent system (MAS) negotiation and ant colony optimisation (ACO). A fully distributed MAS structure has been constructed to support the solution-finding process by negotiation among the agents. The features of ACO are introduced into the negotiation mechanism in order to improve the performance of the schedule. Experimental studies have been carried out to evaluate the performance of the approach for scheduling and rescheduling under different types of disruptions. Different rescheduling policies are compared and discussed. The results have shown that the proposed approach is a competitive method for flexible job-shop scheduling/rescheduling for both schedule optimality and computation efficiency. |
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Keywords: | dynamic scheduling multi-agent systems ant colony optimisation flexible job-shop job-shop scheduling |
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