The CAT metaheuristic for the solution of multi-period activity-based supply chain network design problems

This paper proposes an agent-based metaheuristic to solve large-scale multi-period supply chain network design problems. The generic design model formulated covers the entire supply chain, from vendor selection, to production–distribution sites configuration, transportation options and marketing pol...

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Bibliographic Details
Published in:International journal of production economics 2012-10, Vol.139 (2), p.664-677
Main Authors: Carle, Marc-André, Martel, Alain, Zufferey, Nicolas
Format: Article
Language:English
Subjects:
A-Teams
Activity graph
Comparative analysis
Economics
Facility configuration
Graphs
Heuristic
Location
Mapping
Market offers
Marketing
Mathematical models
Mathematical problems
Methaheuristic
Networks
Studies
Supply chain management
Supply chain network design
Supply chains
Transportation
Transportation options
Vendor selection
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Summary:This paper proposes an agent-based metaheuristic to solve large-scale multi-period supply chain network design problems. The generic design model formulated covers the entire supply chain, from vendor selection, to production–distribution sites configuration, transportation options and marketing policy choices. The model is based on the mapping of a conceptual supply chain activity graph on potential network locations. To solve this complex design problem, we propose Collaborative Agent Team (CAT), an efficient hybrid metaheuristic based on the concept of asynchronous agent teams (A-Teams). Computational results are presented and discussed for large-scale supply chain networks, and the results obtained with CAT are compared to those obtained with the latest version of CPLEX.
ISSN:0925-5273
1873-7579
DOI:10.1016/j.ijpe.2012.06.016