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A Review on Quantitative Models for Sustainable Food Logistics Management

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  • Soysal, Mehmet
  • Bloemhof-Ruwaard, Jacqueline.M.
  • Meuwissen, Miranda P.M.
  • van der Vorst, Jack G.A.J.

Abstract

The last two decades food logistics systems have seen the transition from a focus on traditional supply chain management to food supply chain management, and successively, to sustainable food supply chain management. The main aim of this study is to identify key logistical aims in these three phases and analyse currently available quantitative models to point out modelling challenges in sustainable food logistics management (SFLM). A literature review on quantitative studies is conducted and also qualitative studies are consulted to understand the key logistical aims more clearly and to identify relevant system scope issues. Results show that research on SFLM has been progressively developing according to the needs of the food industry. However, the intrinsic characteristics of food products and processes have not yet been handled properly in the identified studies. The majority of the works reviewed have not contemplated on sustainability problems, apart from a few recent studies. Therefore, the study concludes that new and advanced quantitative models are needed that take specific SFLM requirements from practice into consideration to support business decisions and capture food supply chain dynamics

Suggested Citation

  • Soysal, Mehmet & Bloemhof-Ruwaard, Jacqueline.M. & Meuwissen, Miranda P.M. & van der Vorst, Jack G.A.J., 2012. "A Review on Quantitative Models for Sustainable Food Logistics Management," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 3(2), pages 1-20, December.
    • Handle: RePEc:ags:ijofsd:144855
    DOI: 10.22004/ag.econ.144855
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    10. Soysal, M. & Bloemhof-Ruwaard, J.M. & van der Vorst, J.G.A.J., 2014. "Modelling food logistics networks with emission considerations: The case of an international beef supply chain," International Journal of Production Economics, Elsevier, vol. 152(C), pages 57-70.
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    16. Taghikhah, Firouzeh & Voinov, Alexey & Shukla, Nagesh & Filatova, Tatiana & Anufriev, Mikhail, 2021. "Integrated modeling of extended agro-food supply chains: A systems approach," European Journal of Operational Research, Elsevier, vol. 288(3), pages 852-868.
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    20. Yaser Taghinezhad, 2019. "Optimisation model for a chain logistics problem involving chilled food under conditions of uncertainty," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 29(2), pages 103-116.
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