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Impact of information errors on supply chain performance

Author

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  • Jin Kyung Kwak

    (School of Business, Ewha Womans University, Seoul, South Korea)

  • Srinagesh Gavirneni

    (Johnson Graduate School of Management, Cornell University, Ithaca, USA)

Abstract

This study investigates how information errors affect supply chain performance when a retailer and a supplier share the end-customer demand information. An Enterprise Resource Planning (ERP) system, often used to share information in a supply chain, is not perfect and often contains erroneous information. Companies contemplating the use of ERP systems must evaluate the benefit of using them despite the existence of errors in the system. Our study quantifies the impact of information errors by comparing the supplier costs with and without errors. Our analytical and computational results indicate that the detrimental impact of errors outweighs the beneficial impact of information sharing when the variance of information errors exceeds the variance of end-customer demands. Therefore, when that happens, it is best to operate as if the information is not available. Finally, if it is possible to expend effort and reduce information errors, we present an analytical model for determining the optimal level of investment.

Suggested Citation

  • Jin Kyung Kwak & Srinagesh Gavirneni, 2015. "Impact of information errors on supply chain performance," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(2), pages 288-298, February.
  • Handle: RePEc:pal:jorsoc:v:66:y:2015:i:2:p:288-298
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    Citations

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    Cited by:

    1. Nagaraja, Chaitra H. & McElroy, Tucker, 2018. "The multivariate bullwhip effect," European Journal of Operational Research, Elsevier, vol. 267(1), pages 96-106.
    2. Roberto Dominguez & Salvatore Cannella & Borja Ponte & Jose M. Framinan, 2022. "Information sharing in decentralised supply chains with partial collaboration," Flexible Services and Manufacturing Journal, Springer, vol. 34(2), pages 263-292, June.
    3. QU, Zhan & RAFF, Horst, 2023. "Two-part tariffs, inventory stockpiling, and the bullwhip effect," European Journal of Operational Research, Elsevier, vol. 308(1), pages 201-214.
    4. Hill, Craig A. & Zhang, G. Peter & Miller, Keith E., 2018. "Collaborative planning, forecasting, and replenishment & firm performance: An empirical evaluation," International Journal of Production Economics, Elsevier, vol. 196(C), pages 12-23.
    5. Dominguez, Roberto & Cannella, Salvatore & Barbosa-PĆ³voa, 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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