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A note on lead-time paradoxes and a tale of competing prescriptions

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  • Tyworth, John E.

Abstract

•The mean–variance approach is the primary source of lead-time paradoxes.•A richer theoretical foundation reveals new insights and resolves competing prescriptions.•Positively-correlated lead-time parameters effectively eliminate paradoxes.•Intuitive guidelines apply, regardless of the paradoxes and competing prescriptions.•Contrary to popular research findings, prescriptions from a normal approximation are valid.

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  • Tyworth, John E., 2018. "A note on lead-time paradoxes and a tale of competing prescriptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 139-150.
    • Handle: RePEc:eee:transe:v:109:y:2018:i:c:p:139-150
    DOI: 10.1016/j.tre.2017.11.006
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    1. Dullaert, Wout & Zamparini, Luca, 2013. "The impact of lead time reliability in freight transport: A logistics assessment of transport economics findings," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 190-200.
    2. Jing-Sheng Song, 1994. "The Effect of Leadtime Uncertainty in a Simple Stochastic Inventory Model," Management Science, INFORMS, vol. 40(5), pages 603-613, May.
    3. Jing-Sheng Song & Hanqin Zhang & Yumei Hou & Mingzheng Wang, 2010. "The Effect of Lead Time and Demand Uncertainties in ( r, q ) Inventory Systems," Operations Research, INFORMS, vol. 58(1), pages 68-80, February.
    4. Haim Levy, 1992. "Stochastic Dominance and Expected Utility: Survey and Analysis," Management Science, INFORMS, vol. 38(4), pages 555-593, April.
    5. Gary D. Eppen & R. Kipp Martin, 1988. "Determining Safety Stock in the Presence of Stochastic Lead Time and Demand," Management Science, INFORMS, vol. 34(11), pages 1380-1390, November.
    6. Michael Maloni & Jomon Aliyas Paul & David M Gligor, 2013. "Slow steaming impacts on ocean carriers and shippers," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 15(2), pages 151-171, June.
    7. Rothschild, Michael & Stiglitz, Joseph E., 1970. "Increasing risk: I. A definition," Journal of Economic Theory, Elsevier, vol. 2(3), pages 225-243, September.
    8. Silver, Edward A. & Robb, David J., 2008. "Some insights regarding the optimal reorder period in periodic review inventory systems," International Journal of Production Economics, Elsevier, vol. 112(1), pages 354-366, March.
    9. Tyworth, John E. & Saldanha, John, 2014. "The lead-time reliability paradox and inconsistent value-of-reliability estimates," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 76-85.
    10. Chaharsooghi, S. Kamal & Heydari, Jafar, 2010. "LT variance or LT mean reduction in supply chain management: Which one has a higher impact on SC performance?," International Journal of Production Economics, Elsevier, vol. 124(2), pages 475-481, April.
    11. Leung, Lawrence C. & Wong, Wai Hung & Hui, Yer Van & Wan, Yulai, 2013. "Managing third-party logistics under uncertainty: A decision scheme and managerial implications," International Journal of Production Economics, Elsevier, vol. 145(2), pages 630-644.
    12. Fang, Xin & Zhang, Cheng & Robb, David J. & Blackburn, Joseph D., 2013. "Decision support for lead time and demand variability reduction," Omega, Elsevier, vol. 41(2), pages 390-396.
    13. Tyworth, John E. & Zeng, Amy Zhaohui, 1998. "Estimating the effects of carrier transit-time performance on logistics cost and service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(2), pages 89-97, February.
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    Cited by:

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    3. Zhang, Jiayuan & Yalcin, Mehmet G. & Hales, Douglas N., 2021. "Elements of paradoxes in supply chain management literature: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 232(C).

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