Authors: Esther Álvarez; Fernando Díaz; Eneko Osaba
Addresses: Industrial Technologies Department, University of Deusto, Bilbao 48007, Spain ' Telecommunications Department, University of Deusto, Bilbao 48007, Spain ' Deustotech, University of Deusto, Bilbao 48007, Spain
Abstract: In an age when enterprises are increasingly dependent on their suppliers and customers, individual companies should broaden their scope in order to include other organisations participating in the same value chain. Consequently, different parties of the chain ought to exchange information to make sound decisions in order to cut down global costs or improve customer service. This paper proposes a multi-agent approach for dynamic production and distribution scheduling in a simple supply chain. The approach is based on the continuous supervision of the active schedules and routes, in order to detect possible exceptions and apply corrective actions in a real-time and coordinated manner with other parties. Finally, the paper focuses on the design phase of the distribution stage, where the problem is mathematically formulated as a dynamic vehicle routing problem with time windows and backhauls (DVRP-TWB), and three combinatorial optimisation meta-heuristics are proposed as solving techniques.
Keywords: multi-agent supply chains; production-distribution integration; dynamic VRP; vehicle routing problem; distribution scheduling; production scheduling; supply chain management; SCM; multi-agent systems; MAS; agent-based systems; combinatorial optimisation; metaheuristics.
International Journal of Engineering Management and Economics, 2014 Vol.4 No.3/4, pp.229 - 248
Received: 21 Oct 2013
Accepted: 14 Feb 2014
Published online: 13 Jan 2015 *