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A lateral transshipment model for perishable inventory management

Author

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  • Dilupa Nakandala
  • Henry Lau
  • Paul K.C. Shum

Abstract

Since inventory costs account for half of logistics costs, optimal inventory management to minimise total inventory costs remains a sustainable competitive advantage. Lateral transshipment (LT) is evidently a proven strategy to minimise total inventory costs. The additional LT costs are more than compensated by lowering the stock-out costs. Previous LT models have not been applied to perishable products. Our proposed LT model embodies spoilage costs in the total inventory costs function with the other cost components (purchase from a regular supplier, LT, backordering and holding), and optimises the trade-off among these five key cost components. Numerical examples from a supermarket chain case study demonstrate that, as compared against the no or lower spoilage costs scenarios, lower LT costs are required to trigger the decision point for implementing LT in the higher spoilage costs scenario. However, common to both the with and without spoilage costs scenarios, LT is still the preferred strategy to minimise total inventory costs, given the decision rules are satisfied.

Suggested Citation

  • Dilupa Nakandala & Henry Lau & Paul K.C. Shum, 2017. "A lateral transshipment model for perishable inventory management," International Journal of Production Research, Taylor & Francis Journals, vol. 55(18), pages 5341-5354, September.
  • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:18:p:5341-5354
    DOI: 10.1080/00207543.2017.1312587
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    3. Bingbing Cao & Tianhui You & Chunyi Liu & Jian Zhao, 2021. "Pricing and Channel Coordination in Online-to-Offline Supply Chain Considering Corporate Environmental Responsibility and Lateral Inventory Transshipment," Mathematics, MDPI, vol. 9(20), pages 1-30, October.
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    6. Fadoi Elleuch, 2023. "The "Lateral Transshipment" Is a Cooperative Tool for Optimizing the Profitability of a Distribution System," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 13(1), pages 128-151.
    7. Naderi, Siamak & Kilic, Kemal & Dasci, Abdullah, 2020. "A deterministic model for the transshipment problem of a fast fashion retailer under capacity constraints," International Journal of Production Economics, Elsevier, vol. 227(C).
    8. Lee, Junhyeok & Shin, Youngchul & Moon, Ilkyeong, 2024. "A hybrid deep reinforcement learning approach for a proactive transshipment of fresh food in the online–offline channel system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
    9. Kim, Yun Geon & Chung, Byung Do, 2024. "Data-driven Wasserstein distributionally robust dual-sourcing inventory model under uncertain demand," Omega, Elsevier, vol. 127(C).
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    11. Damla İzmirli & Banu Y. Ekren & Vikas Kumar & Siwarit Pongsakornrungsilp, 2021. "Omni-Chanel Network Design towards Circular Economy under Inventory Share Policies," Sustainability, MDPI, vol. 13(5), pages 1-21, March.

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