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On static stochastic order crossover

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  • Hayya, Jack C.
  • Bagchi, Uttarayan
  • Kim, Jeon G.
  • Sun, Daewon

Abstract

We borrow the term 'static stochastic' from the classification of order crossover by Riezebos [2006, Inventory Order Crossovers. International Journal of Production Economics, 104(2), p. 668]. The term 'static stochastic' refers to iid lead times, with its consequence of order crossovers. Here, we concern ourselves with iid continuous lead times with an infinite right tail, such as can be modeled by the normal and gamma distributions, where order crossover would be certain. We find that order crossover transforms the original lead times into a time series of receipts, whose mean is the same as that of the original lead time but whose variance is less than the original variance. The implication is that supply chain managers could exploit order crossover (say by frequent ordering) to reduce safety stocks. The reward is lower cost, albeit some administrative inconvenience. So our contribution attempts to shed more light on this type of order crossover and that order crossover is not necessarily baneful but actually helpful in reducing risk in inventory operations. A similar conclusion is provided by Riezebos and Gaalman [forthcoming. A single-item inventory model for expected inventory order crossovers. International Journal of Production Economics] for the case of deterministic order crossovers.

Suggested Citation

  • Hayya, Jack C. & Bagchi, Uttarayan & Kim, Jeon G. & Sun, Daewon, 2008. "On static stochastic order crossover," International Journal of Production Economics, Elsevier, vol. 114(1), pages 404-413, July.
  • Handle: RePEc:eee:proeco:v:114:y:2008:i:1:p:404-413
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    Cited by:

    1. Achin Srivastav & Sunil Agrawal, 2020. "On a single item single stage mixture inventory models with independent stochastic lead times," Operational Research, Springer, vol. 20(4), pages 2189-2227, December.
    2. Ben-Ammar, Oussama & Bettayeb, Belgacem & Dolgui, Alexandre, 2019. "Optimization of multi-period supply planning under stochastic lead times and a dynamic demand," International Journal of Production Economics, Elsevier, vol. 218(C), pages 106-117.
    3. Hayya, Jack C. & Harrison, Terry P. & Chatfield, Dean C., 2009. "A solution for the intractable inventory model when both demand and lead time are stochastic," International Journal of Production Economics, Elsevier, vol. 122(2), pages 595-605, December.
    4. Roberto Rossi & S. Armagan Tarim & Ramesh Bollapragada, 2012. "Constraint-Based Local Search for Inventory Control Under Stochastic Demand and Lead Time," INFORMS Journal on Computing, INFORMS, vol. 24(1), pages 66-80, February.
    5. Hayya, Jack C. & Harrison, Terry P. & He, X. James, 2011. "The impact of stochastic lead time reduction on inventory cost under order crossover," European Journal of Operational Research, Elsevier, vol. 211(2), pages 274-281, June.
    6. Chatfield, Dean C. & Pritchard, Alan M., 2018. "Crossover aware base stock decisions for service-driven systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 312-330.
    7. Riezebos, Jan & Zhu, Stuart X., 2020. "Inventory control with seasonality of lead times," Omega, Elsevier, vol. 92(C).
    8. Louly, Mohamed-Aly & Dolgui, Alexandre & Hnaien, Faicel, 2008. "Supply planning for single-level assembly system with stochastic component delivery times and service-level constraint," International Journal of Production Economics, Elsevier, vol. 115(1), pages 236-247, September.
    9. Louly, Mohamed-Aly & Dolgui, Alexandre, 2012. "A note on analytic calculation of planned lead times for assembly systems under POQ policy and service level constraint," International Journal of Production Economics, Elsevier, vol. 140(2), pages 778-781.
    10. Bryan, Nana & Srinivasan, Mandyam M., 2014. "Real-time order tracking for supply systems with multiple transportation stages," European Journal of Operational Research, Elsevier, vol. 236(2), pages 548-560.
    11. Dominguez, Roberto & Cannella, Salvatore & Barbosa-Póvoa, Ana P. & Framinan, Jose M., 2018. "Information sharing in supply chains with heterogeneous retailers," Omega, Elsevier, vol. 79(C), pages 116-132.
    12. Wang, Xun & Disney, Stephen M., 2017. "Mitigating variance amplification under stochastic lead-time: The proportional control approach," European Journal of Operational Research, Elsevier, vol. 256(1), pages 151-162.
    13. Fernando Rojas, 2017. "A methodology for stochastic inventory modelling with ARMA triangular distribution for new products," Cogent Business & Management, Taylor & Francis Journals, vol. 4(1), pages 1270706-127, January.
    14. Rossi, Roberto & Tarim, S. Armagan & Hnich, Brahim & Prestwich, Steven, 2010. "Computing the non-stationary replenishment cycle inventory policy under stochastic supplier lead-times," International Journal of Production Economics, Elsevier, vol. 127(1), pages 180-189, September.
    15. Hekimoğlu, Mustafa & van der Laan, Ervin & Dekker, Rommert, 2018. "Markov-modulated analysis of a spare parts system with random lead times and disruption risks," European Journal of Operational Research, Elsevier, vol. 269(3), pages 909-922.
    16. Achin Srivastav & Sunil Agrawal, 2020. "Multi-objective optimization of mixture inventory system experiencing order crossover," Annals of Operations Research, Springer, vol. 290(1), pages 943-960, July.
    17. Disney, Stephen M. & Maltz, Arnold & Wang, Xun & Warburton, Roger D.H., 2016. "Inventory management for stochastic lead times with order crossovers," European Journal of Operational Research, Elsevier, vol. 248(2), pages 473-486.
    18. Andreas Thorsen & Tao Yao, 2017. "Robust inventory control under demand and lead time uncertainty," Annals of Operations Research, Springer, vol. 257(1), pages 207-236, October.
    19. Hellemans, Tim & Boute, Robert N. & Van Houdt, Benny, 2019. "Analysis of lead time correlation under a base-stock policy," European Journal of Operational Research, Elsevier, vol. 276(2), pages 519-535.
    20. Thomas Wensing & Heinrich Kuhn, 2015. "Analysis of production and inventory systems when orders may cross over," Annals of Operations Research, Springer, vol. 231(1), pages 265-281, August.
    21. Hayya, Jack C. & Bagchi, Uttarayan & Ramasesh, Ranga, 2011. "Cost relationships in stochastic inventory systems: A simulation study of the (S, S-1, t=1) model," International Journal of Production Economics, Elsevier, vol. 130(2), pages 196-202, April.
    22. Dominguez, Roberto & Cannella, Salvatore & Barbosa-Póvoa, Ana P. & Framinan, Jose M., 2018. "OVAP: A strategy to implement partial information sharing among supply chain retailers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 122-136.

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