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

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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
Pages95-112
Number of pages18
ISBN (Electronic)9781466696457
ISBN (Print)9781466696440 , 1466696443
DOIs
Publication statusPublished - 1 Mar 2016

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    Yuce, B., & Mastrocinque, E. (2016). Supply Chain Network Design Using an Enhanced Hybrid Swarm-Based Optimization Algorithm. In Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics (pp. 95-112). IGI Global. https://doi.org/10.4018/978-1-4666-9644-0.ch003