Location and allocation decisions for multi-echelon supply chain network – A multi-objective evolutionary approach

• Published in: Expert systems with applications Vol. 40; no. 2; pp. 551 - 562
• Main Authors: Latha Shankar, B., Basavarajappa, S., Chen, Jason C.H., Kadadevaramath, Rajeshwar S.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Ltd 01.02.2013; Elsevier
• Subjects: Algorithms; Applied sciences; Artificial intelligence; Computer science; control theory; systems; Decision theory. Utility theory; Decisions; Demand; Evolutionary; Evolutionary approach; Exact sciences and technology; Four-echelon supply chain architecture; Inventory control, production control. Distribution; Logistics; MOHPSO; Networks; Non-dominated sorting algorithm; Operational research and scientific management; Operational research. Management science; Optimization; Position (location); Supply chains; Swarm intelligence; Non-dominated sorting algorithm; Swarm intelligence; Evolutionary approach; MOHPSO; Four-echelon supply chain architecture; Measurement; Costs; Material flow; Evolutionary algorithm; Multiobjective programming; Raw materials; Multiple production; Modeling; Location problem; Multiple decision; Facility location; Supplier; Monitoring; Plant production; Decision support system; Decision making; Particle swarm optimization; Supply demand balance; Surveillance; Genetic algorithm; Heuristic method; User requirement; Capacity constraint; Production capacity; Objective function; Artificial intelligence; Logistics

This paper aims at multi-objective optimization of single-product for four-echelon supply chain architecture consisting of suppliers, production plants, distribution centers (DCs) and customer zones (CZs). The key design decisions considered are: the number and location of plants in the system, the...