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Lead time variation control using reliable shipment equipment: An incentive scheme for supply chain coordination

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  • Heydari, Jafar

Abstract

In this paper, service level coordination is studied in a two-stage supply chain (SC). In the investigated model, a retailer is faced with uncertain lead time (LT) due to shipping time instability. Reducing lead time fluctuations is used as an incentive scheme to induce the retailer for participation in the coordination plan. Range of LT fluctuation which is acceptable for both parties is extracted. It is shown that using more reliable shipping equipment as an incentive could coordinate SC. Under some circumstances, the proposed model can increase SC profitability more than centralized decision making model.

Suggested Citation

  • Heydari, Jafar, 2014. "Lead time variation control using reliable shipment equipment: An incentive scheme for supply chain coordination," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 63(C), pages 44-58.
    • Handle: RePEc:eee:transe:v:63:y:2014:i:c:p:44-58
    DOI: 10.1016/j.tre.2014.01.004
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    7. Songtao Zhang & Yanting Hou & Siqi Zhang & Min Zhang, 2017. "Fuzzy Control Model and Simulation for Nonlinear Supply Chain System with Lead Times," Complexity, Hindawi, vol. 2017, pages 1-11, September.
    8. Farnoush Farajpour & Mohammad Taghi Taghavifard & Amir Yousefli & Mohammad Reza Taghva, 2018. "Information Sharing Assessment in Supply Chain: Hierarchical Fuzzy Rule-Based System," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-24, March.
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    14. Jian Li & Lu Liu & Hao Hu & Qiuhong Zhao & Libin Guo, 2018. "An Inventory Model for Deteriorating Drugs with Stochastic Lead Time," IJERPH, MDPI, vol. 15(12), pages 1-20, December.
    15. Zhai, Yue & Choi, Tsan-Ming & Shao, Saijun & Xu, Su Xiu & Huang, George Q., 2020. "Spatial-temporal hedging coordination in prefabricated housing production," International Journal of Production Economics, Elsevier, vol. 229(C).
    16. Sun, X.T. & Chung, S.H. & Chan, Felix T.S. & Wang, Zheng, 2018. "The impact of liner shipping unreliability on the production–distribution scheduling of a decentralized manufacturing system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 242-269.
    17. Jian, Ming & Fang, Xin & Jin, Liu-qian & Rajapov, Azamat, 2015. "The impact of lead time compression on demand forecasting risk and production cost: A newsvendor model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 84(C), pages 61-72.
    18. Sadeghi, Javad & Mousavi, Seyed Mohsen & Niaki, Seyed Taghi Akhavan & Sadeghi, Saeid, 2014. "Optimizing a bi-objective inventory model of a three-echelon supply chain using a tuned hybrid bat algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 274-292.
    19. Asif Iqbal Malik & Biswajit Sarkar, 2019. "Coordinating Supply-Chain Management under Stochastic Fuzzy Environment and Lead-Time Reduction," Mathematics, MDPI, vol. 7(5), pages 1-28, May.
    20. Ke Ma & Sébastien Thomassey & Xianyi Zeng, 2020. "Development of a central order processing system for optimizing demand-driven textile supply chains: a real case based simulation study," Annals of Operations Research, Springer, vol. 291(1), pages 627-656, August.
    21. Xiao, Tiaojun & Choi, Tsan-Ming & Cheng, T.C.E., 2016. "Delivery leadtime and channel structure decisions for make-to-order duopoly under different game scenarios," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 113-129.
    22. Yang, Lei & Tang, Ruihong, 2019. "Comparisons of sales modes for a fresh product supply chain with freshness-keeping effort," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 425-448.

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