Agent Cooperation Mechanism for Decentralized Manufacturing Scheduling
Authored by Mozafar Saadat, Guiovanni Jules
Date Published: 2017
DOI: 10.1109/tsmc.2016.2578879
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Platforms:
Repast
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Other Narrative
Mathematical description
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Abstract
This paper presents an agent cooperation mechanism for scheduling
operations in a manufacturing network, while allowing manufacturers to
absolutely control their scheduling activities. The study includes a
thorough review of recent publications, a real-life industrial use case
of a manufacturing network, an agent-based model of the network
simulated with recursive porous agent simulation toolkit, the Muth and
Thompson (MT10) scheduling data set, and the visualization of results in
Microsoft Project. Results of a study of a four-layer cooperation
mechanism showed that for the MT10 problem, manufacturer arrangement
0-5-7-2-3-8-1-9-6-4-0 was found to maximize the utilitarian social
welfare of the manufacturing network. In terms of make-span, the network
achieved a maximum of 1125 which was beyond the known optimal 930.
Results suggest that manufacturers could express their scheduling goals
and their preferences with whom they wanted to cooperate. These were
measured by the time incentive and compatibility indicators. The latter
could also be used to track the optimality loss in make-span
optimization when implementing the decentralized scheduling approach in
the context of manufacturing networks.
Tags
Agent
Negotiation
Optimization
scheduling
multiagent system
allocation
Welfare
Decentralized
Distributed