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Impact of inventory inaccuracy on service-level quality: A simulation analysis

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  • Thiel, Daniel
  • Hovelaque, Vincent
  • Vo, Thi Le Hoa

Abstract

This article discusses the impact of inventory inaccuracy on service-level quality in (Q,R) continuous review, lost-sales inventory models. A simulation model is built to study the behaviour of this kind of model exposed to an inaccuracy in inventory records as well as demand variability. We have observed an unusual result which goes against certain empirical practices in the SMEs that consist in hiking the inventory level proportionally to the data inaccuracy rate. A nonmonotone function shows that at the outset, the service-level quality is lowered as the inaccuracy rate increases but when the inaccuracy rate becomes much higher this quality is conversely enhanced. This relation can equally be observed given that stocktaking commences as soon as the threshold of decline in the service-level rate has been reached and when demand consequently dwindles. Finally, another noteworthy result also shows the same phenomenon between the function involving a level of safety stock defined by the simulation and the function between the service-level quality and the inventory inaccuracy. These different observed results are discussed in terms of both contribution to the (Q,R) inventory management policies in SMEs and of the limitations to this study.

Suggested Citation

  • 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).
    • Handle: RePEc:ags:inrasl:210394
    DOI: 10.22004/ag.econ.210394
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    References listed on IDEAS

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    1. Tan, Tarkan & Gullu, Refik & Erkip, Nesim, 2007. "Modelling imperfect advance demand information and analysis of optimal inventory policies," European Journal of Operational Research, Elsevier, vol. 177(2), pages 897-923, March.
    2. Nicole DeHoratius & Ananth Raman, 2008. "Inventory Record Inaccuracy: An Empirical Analysis," Management Science, INFORMS, vol. 54(4), pages 627-641, April.
    3. Hill, R.M., 2007. "Continuous-review, lost-sales inventory models with Poisson demand, a fixed lead time and no fixed order cost," European Journal of Operational Research, Elsevier, vol. 176(2), pages 956-963, January.
    4. Fleisch, Elgar & Tellkamp, Christian, 2005. "Inventory inaccuracy and supply chain performance: a simulation study of a retail supply chain," International Journal of Production Economics, Elsevier, vol. 95(3), pages 373-385, March.
    5. Persona, Alessandro & Battini, Daria & Manzini, Riccardo & Pareschi, Arrigo, 2007. "Optimal safety stock levels of subassemblies and manufacturing components," International Journal of Production Economics, Elsevier, vol. 110(1-2), pages 147-159, October.
    6. Donald L. Iglehart & Richard C. Morey, 1972. "Inventory Systems with Imperfect Asset Information," Management Science, INFORMS, vol. 18(8), pages 388-394, April.
    7. Rekik, Yacine & Sahin, Evren & Dallery, Yves, 2008. "Analysis of the impact of the RFID technology on reducing product misplacement errors at retail stores," International Journal of Production Economics, Elsevier, vol. 112(1), pages 264-278, March.
    8. 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.
    9. 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.
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    Keywords

    Industrial Organization;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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