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Supply chain network design using an enhanced hybrid swarm-based optimization algorithm

Yuce, Baris and Mastrocinque, Ernesto 2016. Supply chain network design using an enhanced hybrid swarm-based optimization algorithm. In: Vasant, Pandian, Weber, Gerhard-Wilhelm and Dieu, Vo Ngoc eds. Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics, IGI Global, pp. 95-113. (10.4018/978-1-4666-9644-0.ch003)

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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.

Item Type: Book Section
Status: Published
Schools: Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Publisher: IGI Global
ISBN: 9781466696440
Last Modified: 22 Jun 2019 22:24
URI: http://orca.cf.ac.uk/id/eprint/88301

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