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

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Author(s): Baris Yuce (Cardiff University, UK)and Ernesto Mastrocinque (Royal Holloway, University of London, UK)
Copyright: 2020
Pages: 18
Source title: Supply Chain and Logistics Management: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-0945-6.ch013

Keywords: Business & Management / Business Science Reference / Operations and Service Management / Supply Chain Management

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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.

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

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