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Design of sustainable perishable food supply chain network under uncertainty

Author

Listed:
  • Fateme Souri

    (Amirkabir University of Technology)

  • S. M. T. Fatemi Ghomi

    (Amirkabir University of Technology)

Abstract

Managing a perishable food supply chain is a challenging task because of the short lifetime of the product and the uncertainty of demand. Perishable products require special plans with environmental, social and economic effects. Therefore, the sustainability of food supply chains plays a key role in supply chain efficiency. This paper designs a sustainable perishable food supply chain network under uncertainty. A multi-objective mixed-integer linear programming model is proposed that optimizes total costs, emissions, and shipping time to meet environmental demand. Since the demand parameter is assumed to be uncertain, the two-stage planning optimization approach under the scenario has been used. Also, the method of sum weights has been applied to make the model single-objective, and some tests are performed to select the best coefficients. In the end, deterministic and stochastic objective values compare with the Expected value, Wait and see, and Here and now methods.

Suggested Citation

  • Fateme Souri & S. M. T. Fatemi Ghomi, 2025. "Design of sustainable perishable food supply chain network under uncertainty," OPSEARCH, Springer;Operational Research Society of India, vol. 62(1), pages 406-422, March.
    • Handle: RePEc:spr:opsear:v:62:y:2025:i:1:d:10.1007_s12597-024-00793-x
    DOI: 10.1007/s12597-024-00793-x
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    References listed on IDEAS

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    1. Zhanguo Zhu & Feng Chu & Alexandre Dolgui & Chengbin Chu & Wei Zhou & Selwyn Piramuthu, 2018. "Recent advances and opportunities in sustainable food supply chain: a model-oriented review," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5700-5722, September.
    2. Govindan, K. & Jafarian, A. & Khodaverdi, R. & Devika, K., 2014. "Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food," International Journal of Production Economics, Elsevier, vol. 152(C), pages 9-28.
    3. Ieva Meidute-Kavaliauskiene & Figen Yıldırım & Shahryar Ghorbani & Renata Činčikaitė, 2022. "The Design of a Multi-Period and Multi-Echelon Perishable Goods Supply Network under Uncertainty," Sustainability, MDPI, vol. 14(4), pages 1-18, February.
    4. Ji, L. & Niu, D.X. & Huang, G.H., 2014. "An inexact two-stage stochastic robust programming for residential micro-grid management-based on random demand," Energy, Elsevier, vol. 67(C), pages 186-199.
    5. Wu, Xin & Nie, Lei & Xu, Meng & Yan, Fei, 2018. "A perishable food supply chain problem considering demand uncertainty and time deadline constraints: Modeling and application to a high-speed railway catering service," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 186-209.
    6. Volha Yakavenka & Ioannis Mallidis & Dimitrios Vlachos & Eleftherios Iakovou & Zafeiriou Eleni, 2020. "Development of a multi-objective model for the design of sustainable supply chains: the case of perishable food products," Annals of Operations Research, Springer, vol. 294(1), pages 593-621, November.
    7. Kumar, Anish & Mangla, Sachin Kumar & Kumar, Pradeep & Song, Malin, 2021. "Mitigate risks in perishable food supply chains: Learning from COVID-19," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
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