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On the impact of adjusting the minimum life on receipt (MLOR) criterion in food supply chains

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  • Santos, Maria João
  • Martins, Sara
  • Amorim, Pedro
  • Almada-Lobo, Bernardo

Abstract

The Minimum Life on Receipt (MLOR) is a widely used rule that imposes the minimum remaining age a food product must be delivered by the producer to the retailer. In practice, this rule is set by retailers and it is fixed, around 2/3 of the age of products regardless their shelf life. In this work, we study single and two echelon make-to-stock production-inventory problems for fixed-lifetime perishables. Mixed-integer linear optimization models are developed considering the MLOR rule both as decision variable and fixed parameter. When the MLOR rule is a variable, it is considered either a sole decision of the producer or a collaborative decision between retailer and producer. The goal of this work is to compare the supply chain performance considering this innovative setting of optimal MLOR (as a variable) against the traditional setting of fixed MLOR rule. The computational results suggest that allowing flexible MLOR rules according to the shelf life of products and the operational requirements of the producer benefit both entities in the supply chain. In particular, reducing the MLOR requirement in up to 12% does not interfere substantially with the average freshness of products arriving to the retailer, but reduces extensively surplus/waste generation at the producer while keeping a small amount of waste at the retailer.

Suggested Citation

  • Santos, Maria João & Martins, Sara & Amorim, Pedro & Almada-Lobo, Bernardo, 2022. "On the impact of adjusting the minimum life on receipt (MLOR) criterion in food supply chains," Omega, Elsevier, vol. 112(C).
    • Handle: RePEc:eee:jomega:v:112:y:2022:i:c:s0305048322000986
    DOI: 10.1016/j.omega.2022.102691
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    1. Amorim, P. & Günther, H.-O. & Almada-Lobo, B., 2012. "Multi-objective integrated production and distribution planning of perishable products," International Journal of Production Economics, Elsevier, vol. 138(1), pages 89-101.
    2. Wang, Xiaojun & Li, Dong, 2012. "A dynamic product quality evaluation based pricing model for perishable food supply chains," Omega, Elsevier, vol. 40(6), pages 906-917.
    3. Farshbaf-Geranmayeh, Amir & Zaccour, Georges, 2021. "Pricing and advertising in a supply chain in the presence of strategic consumers," Omega, Elsevier, vol. 101(C).
    4. Garrone, Paola & Melacini, Marco & Perego, Alessandro, 2014. "Opening the black box of food waste reduction," Food Policy, Elsevier, vol. 46(C), pages 129-139.
    5. Broekmeulen, Rob A.C.M. & van Donselaar, Karel H., 2019. "Quantifying the potential to improve on food waste, freshness and sales for perishables in supermarkets," International Journal of Production Economics, Elsevier, vol. 209(C), pages 265-273.
    6. Pauls-Worm, Karin G.J. & Hendrix, Eligius M.T. & Alcoba, Alejandro G. & Haijema, René, 2016. "Order quantities for perishable inventory control with non-stationary demand and a fill rate constraint," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 238-246.
    7. Rong, Aiying & Akkerman, Renzo & Grunow, Martin, 2011. "An optimization approach for managing fresh food quality throughout the supply chain," International Journal of Production Economics, Elsevier, vol. 131(1), pages 421-429, May.
    8. Alvarez, Aldair & Miranda, Pedro & Rohmer, S.U.K., 2022. "Production routing for perishable products," Omega, Elsevier, vol. 111(C).
    9. Buisman, M.E. & Haijema, R. & Bloemhof-Ruwaard, J.M., 2019. "Discounting and dynamic shelf life to reduce fresh food waste at retailers," International Journal of Production Economics, Elsevier, vol. 209(C), pages 274-284.
    10. Pauls-Worm, Karin G.J. & Hendrix, Eligius M.T. & Haijema, René & van der Vorst, Jack G.A.J., 2014. "An MILP approximation for ordering perishable products with non-stationary demand and service level constraints," International Journal of Production Economics, Elsevier, vol. 157(C), pages 133-146.
    11. Jaekwon Chung & Dong Li, 2014. "A simulation of the impacts of dynamic price management for perishable foods on retailer performance in the presence of need-driven purchasing consumers," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(8), pages 1177-1188, August.
    12. Jing, Fuying & Chao, Xiangrui, 2022. "Forecast horizons for a two-echelon dynamic lot-sizing problem," Omega, Elsevier, vol. 110(C).
    13. Mark Ferguson & Michael E. Ketzenberg, 2006. "Information Sharing to Improve Retail Product Freshness of Perishables," Production and Operations Management, Production and Operations Management Society, vol. 15(1), pages 57-73, March.
    14. Chen, Jing & Dong, Ming & Rong, Ying & Yang, Liang, 2018. "Dynamic pricing for deteriorating products with menu cost," Omega, Elsevier, vol. 75(C), pages 13-26.
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    1. Arzum Akkas & Dorothee Honhon, 2023. "Determining maximum shipping age requirements for shelf life and food waste management," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2173-2188, July.
    2. Najafi, Mehdi & Zolfagharinia, Hossein, 2024. "A Multi-objective integrated approach to address sustainability in a meat supply chain," Omega, Elsevier, vol. 124(C).

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