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Supply Chain Design and Multi-objective Optimisation with the Bees Algorithm

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Intelligent Production and Manufacturing Optimisation—The Bees Algorithm Approach

Part of the book series: Springer Series in Advanced Manufacturing ((SSAM))

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Abstract

Supply chain network design is a complex multi-objective optimisation problem consisting of identifying the best combination of suppliers, manufacturing and transport options inter alia, with the aim of optimising the overall performance of the network. In this chapter, the Bees Algorithm is presented as a powerful tool for designing optimal supply chains by minimising the total cost and the total lead time simultaneously when the number of possible configurations is high, which is classified as a NP-hard problem. The Bees Algorithm shows better performance compared to other well-known approaches and it is effective in solving multi-objective supply chain optimisation problems.

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Author information

Authors and Affiliations

  1. Faculty of Engineering, Environment and Computing, Coventry University, Priory Street, Coventry, CV1 5FB, UK

    Ernesto Mastrocinque

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  1. Ernesto Mastrocinque
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Correspondence to Ernesto Mastrocinque .

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Editors and Affiliations

  1. Department of Mechanical Engineering, University of Birmingham, Birmingham, UK

    Duc Truong Pham

  2. Department of Mechanical Engineering, University of Birmingham, Birmingham, UK

    Natalia Hartono

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Mastrocinque, E. (2023). Supply Chain Design and Multi-objective Optimisation with the Bees Algorithm. In: Pham, D.T., Hartono, N. (eds) Intelligent Production and Manufacturing Optimisation—The Bees Algorithm Approach. Springer Series in Advanced Manufacturing. Springer, Cham. https://doi.org/10.1007/978-3-031-14537-7_17

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  • DOI: https://doi.org/10.1007/978-3-031-14537-7_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-14536-0

  • Online ISBN: 978-3-031-14537-7

  • eBook Packages: EngineeringEngineering (R0)

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