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Multi-objective optimisation of risk and business strategy in real-world supply networks in the presence of uncertainty

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  • Dobrila Petrovic
  • Magdalena Kalata

Abstract

Selection of suppliers is very important for a strategic supply network (SN) design. This paper presents a novel multi-objective optimisation model for supplier selection and order allocation. In addition to a standard objective of total SN cost minimisation, two new objectives are considered: minimisation of suppliers’ risk and maximisation of achievement of a manufacturer business strategy. Uncertainty in supply lead times and non-conformance rates of delivered components causes uncertainty in the SN cost objective. These parameters are described using imprecise linguistic terms and modelled using fuzzy numbers. Risk classification of suppliers is carried out using imprecise knowledge which is modelled using fuzzy If-Then rules and embedded in the risk objective. Various experiments are carried out to analyse the trade-off between the considered objectives and the impact of SN network parameters on the suppliers’ selection and order allocation. The size of the problem that the model can handle is analysed also.

Suggested Citation

  • Dobrila Petrovic & Magdalena Kalata, 2019. "Multi-objective optimisation of risk and business strategy in real-world supply networks in the presence of uncertainty," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(11), pages 1869-1884, November.
    • Handle: RePEc:taf:tjorxx:v:70:y:2019:i:11:p:1869-1884
    DOI: 10.1080/01605682.2018.1501459
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    Cited by:

    1. Islam, Samiul & Amin, Saman Hassanzadeh & Wardley, Leslie J., 2021. "Machine learning and optimization models for supplier selection and order allocation planning," International Journal of Production Economics, Elsevier, vol. 242(C).
    2. Chen, Li-Ming & Chang, Wei-Lun, 2021. "Supply- and cyber-related disruptions in cloud supply chain firms: Determining the best recovery speeds," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).

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