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Multi-Objective Optimisation in Manufacturing Supply Chain Systems Design: A Comprehensive Survey and New Directions

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Multi-objective Evolutionary Optimisation for Product Design and Manufacturing

Abstract

Research regarding supply chain optimisation has been performed for a long time. However, it is only in the last decade that the research community has started to investigate multi-objective optimisation for supply chains. Supply chains are in general complex networks composed of autonomous entities whereby multiple performance measures in different levels, which in most cases are in conflict with each other, have to be taken into account. In this chapter, we present a comprehensive literature review of existing multi-objective optimisation applications, both analytical-based and simulation-based, in supply chain management publications. Later on in the chapter, we identify the needs of an integration of multi-objective optimisation and system dynamics models, and present a case study on how such kind of integration can be applied for the investigation of bullwhip effects in a supply chain.

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Authors and Affiliations

  1. Virtual Systems Research Centre, University of Skövde, PO Box 408, 541 28, Skövde, Sweden

    Tehseen Aslam, Philip Hedenstierna, Amos H. C. Ng & Lihui Wang

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  1. Tehseen Aslam
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  2. Philip Hedenstierna
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  3. Amos H. C. Ng
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Correspondence to Tehseen Aslam .

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  1. , Virtual Systems Research Centre, University of Skövde, Skövde, 541 28, Sweden

    Lihui Wang

  2. , Virtual Systems Research Centre, University of Skövde, Skövde, 541 28, Sweden

    Amos H. C. Ng

  3. , Department of Mechanical Engineering, Indian Institute of Technology, Kanpur, 208016, Uttar Pradesh, India

    Kalyanmoy Deb

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Aslam, T., Hedenstierna, P., Ng, A.H.C., Wang, L. (2011). Multi-Objective Optimisation in Manufacturing Supply Chain Systems Design: A Comprehensive Survey and New Directions. In: Wang, L., Ng, A., Deb, K. (eds) Multi-objective Evolutionary Optimisation for Product Design and Manufacturing. Springer, London. https://doi.org/10.1007/978-0-85729-652-8_2

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  • DOI: https://doi.org/10.1007/978-0-85729-652-8_2

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