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The lead-time reliability paradox and inconsistent value-of-reliability estimates

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  • Tyworth, John E.
  • Saldanha, John

Abstract

The value-of-reliability (VOR) reflects the savings in inventory-system costs from more reliable (less variable) lead times. Previous studies have revealed that more reliable, but positively skewed, lead times could actually increase optimal safety inventory when the probability of satisfying all demand during a replenishment cycle drops below 70%. Researchers claim that this paradox affects most firms and that it explains the inconsistent VOR estimates found in the transportation economics literature. Our investigation reveals that firms interested in high product availability may safely ignore the paradox and that less lead-time variability consistently increases VOR, the paradox notwithstanding.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transe:v:70:y:2014:i:c:p:76-85
    DOI: 10.1016/j.tre.2014.06.009
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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. 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.
    3. 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.
    4. 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.
    5. Vernimmen, Bert & Dullaert, Wout & Willemé, Peter & Witlox, Frank, 2008. "Using the inventory-theoretic framework to determine cost-minimizing supply strategies in a stochastic setting," International Journal of Production Economics, Elsevier, vol. 115(1), pages 248-259, September.
    6. 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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    6. Saldanha, John P., 2022. "Estimating the reorder point for a fill-rate target under a continuous review policy in the presence of non-standard lead-time demand distributions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).

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