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Portfolio optimisation of material purchase considering supply risk – A multi-objective programming model

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  • Hao, Jun
  • Li, Jianping
  • Wu, Dengsheng
  • Sun, Xiaolei

Abstract

For the sake of better coping with the problem of material procurement, a multi-objective optimisation model was established in a systematic analysis framework for material procurement considering supply risk. First, this paper combs and identifies supply risk factors and constructs a supply risk evaluation system from the dimensions of quality, price, delivery, service and technology. Second, based on the linguistic scale and fuzzy theory, this paper measures the supply risk of candidate suppliers and estimates the relevant parameters of the multi-objective optimisation model by using the triangular fuzzy numbers. In addition, an improved non-dominated sorting genetic algorithm II (NSGA-II) is utilized in this paper to solve the multi-objective model, since traditional intelligent algorithms have slow convergence speed and are easily trapping into local optimisation. Finally, this paper conducts simulation experiments by setting three types of decision-makers with different risk preferences and provides material procurement combination schemes in different scenarios. Through numerical simulation experiments, it was verified that the optimisation model established in this paper was feasible and useful for the selection of candidate suppliers and the portfolio optimisation of material procurement.

Suggested Citation

  • Hao, Jun & Li, Jianping & Wu, Dengsheng & Sun, Xiaolei, 2020. "Portfolio optimisation of material purchase considering supply risk – A multi-objective programming model," International Journal of Production Economics, Elsevier, vol. 230(C).
    • Handle: RePEc:eee:proeco:v:230:y:2020:i:c:s092552732030178x
    DOI: 10.1016/j.ijpe.2020.107803
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    as
    1. Almeder, Christian, 2010. "A hybrid optimization approach for multi-level capacitated lot-sizing problems," European Journal of Operational Research, Elsevier, vol. 200(2), pages 599-606, January.
    2. Chen, Kuen-Suan & Wang, Ching-Hsin & Tan, Kim-Hua, 2019. "Developing a fuzzy green supplier selection model using six sigma quality indices," International Journal of Production Economics, Elsevier, vol. 212(C), pages 1-7.
    3. Ghodsypour, S. H. & O'Brien, C., 1998. "A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming," International Journal of Production Economics, Elsevier, vol. 56(1), pages 199-212, September.
    4. Froud, Julie & Johal, Sukhdev & Leaver, Adam & Williams, Karel, 2014. "Financialization across the Pacific: Manufacturing cost ratios, supply chains and power," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 25(1), pages 46-57.
    5. Nooraie, S. Vahid & Mellat Parast, Mahour, 2015. "A multi-objective approach to supply chain risk management: Integrating visibility with supply and demand risk," International Journal of Production Economics, Elsevier, vol. 161(C), pages 192-200.
    6. Sreedevi, R. & Saranga, Haritha, 2017. "Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation," International Journal of Production Economics, Elsevier, vol. 193(C), pages 332-342.
    7. Tang, Christopher & Tomlin, Brian, 2008. "The power of flexibility for mitigating supply chain risks," International Journal of Production Economics, Elsevier, vol. 116(1), pages 12-27, November.
    8. Vanteddu, Gangaraju & Chinnam, Ratna Babu & Gushikin, Oleg, 2011. "Supply chain focus dependent supplier selection problem," International Journal of Production Economics, Elsevier, vol. 129(1), pages 204-216, January.
    9. Kellner, Florian & Lienland, Bernhard & Utz, Sebastian, 2019. "An a posteriori decision support methodology for solving the multi-criteria supplier selection problem," European Journal of Operational Research, Elsevier, vol. 272(2), pages 505-522.
    10. Achzet, Benjamin & Helbig, Christoph, 2013. "How to evaluate raw material supply risks—an overview," Resources Policy, Elsevier, vol. 38(4), pages 435-447.
    11. Wan, Chengpeng & Yan, Xinping & Zhang, Di & Qu, Zhuohua & Yang, Zaili, 2019. "An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 222-240.
    12. Jasiński, Dominik & Cinelli, Marco & Dias, Luis C. & Meredith, James & Kirwan, Kerry, 2018. "Assessing supply risks for non-fossil mineral resources via multi-criteria decision analysis," Resources Policy, Elsevier, vol. 58(C), pages 150-158.
    13. Sun, Xiaolei & Liu, Chang & Chen, Xiuwen & Li, Jianping, 2017. "Modeling systemic risk of crude oil imports: Case of China’s global oil supply chain," Energy, Elsevier, vol. 121(C), pages 449-465.
    14. Plaza, Malgorzata & David, Iulian & Shirazi, Farid, 2018. "Management of inventory under market fluctuations the case of a Canadian high tech company," International Journal of Production Economics, Elsevier, vol. 205(C), pages 215-227.
    15. Bai, Chunguang & Sarkis, Joseph, 2010. "Integrating sustainability into supplier selection with grey system and rough set methodologies," International Journal of Production Economics, Elsevier, vol. 124(1), pages 252-264, March.
    16. Chai, Junyi & Ngai, Eric W.T., 2015. "Multi-perspective strategic supplier selection in uncertain environments," International Journal of Production Economics, Elsevier, vol. 166(C), pages 215-225.
    17. Cunha, Artur Lovato & Santos, Maristela Oliveira & Morabito, Reinaldo & Barbosa-Póvoa, Ana, 2018. "An integrated approach for production lot sizing and raw material purchasing," European Journal of Operational Research, Elsevier, vol. 269(3), pages 923-938.
    18. Zare, Marjan & Esmaeili, Maryam & He, Yuanjie, 2019. "Implications of risk-sharing strategies on supply chains with multiple retailers and under random yield," International Journal of Production Economics, Elsevier, vol. 216(C), pages 413-424.
    19. Crama, Y. & Pascual J., R. & Torres, A., 2004. "Optimal procurement decisions in the presence of total quantity discounts and alternative product recipes," European Journal of Operational Research, Elsevier, vol. 159(2), pages 364-378, December.
    20. García-Rodríguez, Francisco J. & Castilla-Gutiérrez, Carlos & Bustos-Flores, Carlos, 2013. "Implementation of reverse logistics as a sustainable tool for raw material purchasing in developing countries: The case of Venezuela," International Journal of Production Economics, Elsevier, vol. 141(2), pages 582-592.
    21. Velez, Sara & Dong, Yachao & Maravelias, Christos T., 2017. "Changeover formulations for discrete-time mixed-integer programming scheduling models," European Journal of Operational Research, Elsevier, vol. 260(3), pages 949-963.
    22. Behzadi, Golnar & O’Sullivan, Michael Justin & Olsen, Tava Lennon & Zhang, Abraham, 2018. "Agribusiness supply chain risk management: A review of quantitative decision models," Omega, Elsevier, vol. 79(C), pages 21-42.
    23. Giannakis, Mihalis & Papadopoulos, Thanos, 2016. "Supply chain sustainability: A risk management approach," International Journal of Production Economics, Elsevier, vol. 171(P4), pages 455-470.
    24. Aqlan, Faisal & Lam, Sarah S., 2015. "A fuzzy-based integrated framework for supply chain risk assessment," International Journal of Production Economics, Elsevier, vol. 161(C), pages 54-63.
    25. Dong, Qingxing & Cooper, Orrin, 2016. "An orders-of-magnitude AHP supply chain risk assessment framework," International Journal of Production Economics, Elsevier, vol. 182(C), pages 144-156.
    26. Olivier Lavastre & A. Gunasekaran & Alain Spalanzani, 2012. "Supply chain risk management in french companies," Post-Print halshs-00740450, HAL.
    27. Amorim, Pedro & Curcio, Eduardo & Almada-Lobo, Bernardo & Barbosa-Póvoa, Ana P.F.D. & Grossmann, Ignacio E., 2016. "Supplier selection in the processed food industry under uncertainty," European Journal of Operational Research, Elsevier, vol. 252(3), pages 801-814.
    28. Vilko, Jyri P.P. & Hallikas, Jukka M., 2012. "Risk assessment in multimodal supply chains," International Journal of Production Economics, Elsevier, vol. 140(2), pages 586-595.
    29. Hashemi, Seyed Hamid & Karimi, Amir & Tavana, Madjid, 2015. "An integrated green supplier selection approach with analytic network process and improved Grey relational analysis," International Journal of Production Economics, Elsevier, vol. 159(C), pages 178-191.
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    2. Zhou, Rui & Bhuiyan, Tanveer Hossain & Medal, Hugh R. & Sherwin, Michael D. & Yang, Dong, 2022. "A stochastic programming model with endogenous uncertainty for selecting supplier development programs to proactively mitigate supplier risk," Omega, Elsevier, vol. 107(C).
    3. Hao, Jun & Feng, Qianqian & Yuan, Jiaxin & Sun, Xiaolei & Li, Jianping, 2022. "A dynamic ensemble learning with multi-objective optimization for oil prices prediction," Resources Policy, Elsevier, vol. 79(C).

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