Supply Chain Network Design Using an Enhanced Hybrid Swarm-Based Optimization Algorithm

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Supply chain network design is one of the most important strategic issues in operations management. The main objective in designing a supply chain is to keep the cost as low as possible. However, the modelling of a supply chain requires more than single-objective such as lead-time minimization, service level maximization, and environmental impact maximization among others. Usually these objectives may cause conflicts such as increasing the service level usually causes a growth in costs. Therefore, the aim should be to find trade-off solutions to satisfy the conflicting objectives. The aim of this chapter is to propose a new method based on a hybrid version of the Bees Algorithm with Slope Angle Computation and Hill Climbing Algorithm to solve a multi-objective supply chain network design problem. A real case from the literature has been selected and solved in order to show the potentiality of the proposed method in solving a large scale combinatorial problem
Original languageEnglish
Title of host publicationHandbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics
PublisherIGI Global
Number of pages18
ISBN (Electronic)9781466696457
ISBN (Print)9781466696440 , 1466696443
Publication statusPublished - 1 Mar 2016

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