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Inventory Systems with Imperfect Asset Information

Author

Listed:
  • Donald L. Iglehart

    (Stanford University)

  • Richard C. Morey

    (Control Analysis Corporation, Palo Alto. Work done while the author was affiliated with DECISION Studies Group, Palo Alto, California)

Abstract

An inventory stock record is in error when the stock record is not in agreement with the physical stock. Such discrepancies may be introduced due to time lags between flow of information and material, pilferage, incorrect unit of issue, inaccurate physical inventory counts, etc. The primary impact of these errors is that the system fails to order when it should, resulting in "warehouse denials," i.e., the stock records show a balance sufficient to issue a given material release order, but for which insufficient units of stock can physically be found. The object of this paper is to select the proper frequency and depth of inventory counts, together with modifications to a given stocking policy, so as to minimize the total cost per unit time, subject to the likelihood of a warehouse denial between inventory counts being below a prescribed level. The goal has been to obtain results easily implementable and leads to formulae comparable to those of the classical economic lot-size models. A numerical example is included to illustrate the procedure.

Suggested Citation

  • Donald L. Iglehart & Richard C. Morey, 1972. "Inventory Systems with Imperfect Asset Information," Management Science, INFORMS, vol. 18(8), pages 388-394, April.
    • Handle: RePEc:inm:ormnsc:v:18:y:1972:i:8:p:b388-b394
    DOI: 10.1287/mnsc.18.8.B388
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    Citations

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    Cited by:

    1. Sahin, Evren & Dallery, Yves, 2009. "Assessing the impact of inventory inaccuracies within a Newsvendor framework," European Journal of Operational Research, Elsevier, vol. 197(3), pages 1108-1118, September.
    2. Nicole DeHoratius & Adam J. Mersereau & Linus Schrage, 2008. "Retail Inventory Management When Records Are Inaccurate," Manufacturing & Service Operations Management, INFORMS, vol. 10(2), pages 257-277, November.
    3. Li Chen, 2021. "Fixing Phantom Stockouts: Optimal Data‐Driven Shelf Inspection Policies," Production and Operations Management, Production and Operations Management Society, vol. 30(3), pages 689-702, March.
    4. Thiel, Daniel & Hovelaque, Vincent & Thi Le Hoa, Vo, 2010. "Impact of inventory inaccuracy on service-level quality in (Q,R) continuous-review lost-sales inventory models," International Journal of Production Economics, Elsevier, vol. 123(2), pages 301-311, February.
    5. Agrawal, Paras M. & Sharda, Ramesh, 2012. "Impact of frequency of alignment of physical and information system inventories on out of stocks: A simulation study," International Journal of Production Economics, Elsevier, vol. 136(1), pages 45-55.
    6. Rekik, Yacine, 2011. "Inventory inaccuracies in the wholesale supply chain," International Journal of Production Economics, Elsevier, vol. 133(1), pages 172-181, September.
    7. Adam J. Mersereau, 2015. "Demand Estimation from Censored Observations with Inventory Record Inaccuracy," Manufacturing & Service Operations Management, INFORMS, vol. 17(3), pages 335-349, July.
    8. Rekik, Yacine & Syntetos, Aris & Jemai, Zied, 2015. "An e-retailing supply chain subject to inventory inaccuracies," International Journal of Production Economics, Elsevier, vol. 167(C), pages 139-155.
    9. Wang, Fuqiang & Fang, Xiaoping & Chen, Xiaohong & Li, Xihua, 2016. "Impact of inventory inaccuracies on products with inventory-dependent demand," International Journal of Production Economics, Elsevier, vol. 177(C), pages 118-130.
    10. Thiel, Daniel & Hovelaque, Vincent & Vo, Thi Le Hoa, 2009. "Impact of inventory inaccuracy on service-level quality: A simulation analysis," Working Papers 210394, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    11. Nicole DeHoratius & Ananth Raman, 2008. "Inventory Record Inaccuracy: An Empirical Analysis," Management Science, INFORMS, vol. 54(4), pages 627-641, April.
    12. Kök, A. Gürhan & Shang, Kevin H., 2014. "Evaluation of cycle-count policies for supply chains with inventory inaccuracy and implications on RFID investments," European Journal of Operational Research, Elsevier, vol. 237(1), pages 91-105.
    13. Gel, Esma S. & Erkip, Nesim & Thulaseedas, Anoop, 2010. "Analysis of simple inventory control systems with execution errors: Economic impact under correction opportunities," International Journal of Production Economics, Elsevier, vol. 125(1), pages 153-166, May.
    14. Sahin, Evren & Buzacott, John & Dallery, Yves, 2008. "Analysis of a newsvendor which has errors in inventory data records," European Journal of Operational Research, Elsevier, vol. 188(2), pages 370-389, July.
    15. Sarac, Aysegul & Absi, Nabil & Dauzère-Pérès, Stéphane, 2010. "A literature review on the impact of RFID technologies on supply chain management," International Journal of Production Economics, Elsevier, vol. 128(1), pages 77-95, November.
    16. A. Gürhan Kök & Kevin H. Shang, 2007. "Inspection and Replenishment Policies for Systems with Inventory Record Inaccuracy," Manufacturing & Service Operations Management, INFORMS, vol. 9(2), pages 185-205, February.
    17. Rekik, Yacine & Sahin, Evren & Dallery, Yves, 2009. "Inventory inaccuracy in retail stores due to theft: An analysis of the benefits of RFID," International Journal of Production Economics, Elsevier, vol. 118(1), pages 189-198, March.
    18. Edward A. Stohr, 1977. "Information Systems for Observing Inventory Levels," Discussion Papers 243, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    19. Uçkun, Canan & Karaesmen, Fikri & Savas, Selçuk, 2008. "Investment in improved inventory accuracy in a decentralized supply chain," International Journal of Production Economics, Elsevier, vol. 113(2), pages 546-566, June.
    20. Xu, Jinpeng & Jiang, Wei & Feng, Gengzhong & Tian, Jun, 2012. "Comparing improvement strategies for inventory inaccuracy in a two-echelon supply chain," European Journal of Operational Research, Elsevier, vol. 221(1), pages 213-221.
    21. Rong Li & Jing‐Sheng Jeannette Song & Shuxiao Sun & Xiaona Zheng, 2022. "Fight inventory shrinkage: Simultaneous learning of inventory level and shrinkage rate," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2477-2491, June.

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