IDEAS home Printed from https://ideas.repec.org/p/ags/inrasl/210394.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/210394/files/WP%20SMART-LERECO%2009-01.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.210394?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Nicole DeHoratius & Ananth Raman, 2008. "Inventory Record Inaccuracy: An Empirical Analysis," Management Science, INFORMS, vol. 54(4), pages 627-641, April.
    5. Donald L. Iglehart & Richard C. Morey, 1972. "Inventory Systems with Imperfect Asset Information," Management Science, INFORMS, vol. 18(8), pages 388-394, April.
    6. 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.
    7. 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.
    8. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Ahmed Musa & Al-Amin Abba Dabo, 2016. "A Review of RFID in Supply Chain Management: 2000–2015," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(2), pages 189-228, June.
    6. 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.
    7. Feng Tao & Tijun Fan & Kin Keung Lai & Lin Li, 2017. "Impact of RFID technology on inventory control policy," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(2), pages 207-220, February.
    8. Cannella, Salvatore & Framinan, Jose M. & Bruccoleri, Manfredi & Barbosa-Póvoa, Ana Paula & Relvas, Susana, 2015. "The effect of Inventory Record Inaccuracy in Information Exchange Supply Chains," European Journal of Operational Research, Elsevier, vol. 243(1), pages 120-129.
    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. 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.
    11. Fan, Tijun & Tao, Feng & Deng, Sheng & Li, Shuxia, 2015. "Impact of RFID technology on supply chain decisions with inventory inaccuracies," International Journal of Production Economics, Elsevier, vol. 159(C), pages 117-125.
    12. Feng Tao & Yanhong Xie & Yao-Yu Wang & Fujun Lai & Kin Keung Lai, 2022. "Contract strategies in competitive supply chains subject to inventory inaccuracy," Annals of Operations Research, Springer, vol. 309(2), pages 641-661, February.
    13. 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.
    14. Chang, Seokcheol & Klabjan, Diego & Vossen, Thomas, 2010. "Optimal radio frequency identification deployment in a supply chain network," International Journal of Production Economics, Elsevier, vol. 125(1), pages 71-83, May.
    15. Sari, Kazim, 2010. "Exploring the impacts of radio frequency identification (RFID) technology on supply chain performance," European Journal of Operational Research, Elsevier, vol. 207(1), pages 174-183, November.
    16. Ferrer, Geraldo & Heath, Susan K. & Dew, Nicholas, 2011. "An RFID application in large job shop remanufacturing operations," International Journal of Production Economics, Elsevier, vol. 133(2), pages 612-621, October.
    17. 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.
    18. Dai, Hongyan & Li, Jianbin & Yan, Nina & Zhou, Weihua, 2016. "Bullwhip effect and supply chain costs with low- and high-quality information on inventory shrinkage," European Journal of Operational Research, Elsevier, vol. 250(2), pages 457-469.
    19. Zhang, Allan N. & Goh, Mark & Meng, Fanwen, 2011. "Conceptual modelling for supply chain inventory visibility," International Journal of Production Economics, Elsevier, vol. 133(2), pages 578-585, October.
    20. Cannella, Salvatore & Dominguez, Roberto & Framinan, Jose M., 2017. "Inventory record inaccuracy – The impact of structural complexity and lead time variability," Omega, Elsevier, vol. 68(C), pages 123-138.

    More about this item

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:inrasl:210394. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/inrapfr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.