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Building knowledge to improve enterprise performance from inventory simulation models

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  • Diaz, Rafael
  • Bailey, Mike

Abstract

This paper describes the process of building knowledge to improve enterprise performance. This allows managers both to identify unknown risks and to develop solutions that mitigate these risks. One of the most critical risks that the enterprise faces involves the unidentified presence of serial-correlation components on the demand patterns. Depending upon the levels of such correlation, inventory control policies can be appreciably inaccurate. We propose to use a knowledge management portfolio that allows managers to capture and build knowledge from their complex systems. We find that the error generated from ignoring identified risk factors exponentially grows as the autocorrelation increases. We construct an enhanced simulated annealing algorithm that provides superior solutions to this type of problem.

Suggested Citation

  • Diaz, Rafael & Bailey, Mike, 2011. "Building knowledge to improve enterprise performance from inventory simulation models," International Journal of Production Economics, Elsevier, vol. 134(1), pages 108-113, November.
    • Handle: RePEc:eee:proeco:v:134:y:2011:i:1:p:108-113
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    References listed on IDEAS

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    1. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    2. Tang, Ou, 2004. "Simulated annealing in lot sizing problems," International Journal of Production Economics, Elsevier, vol. 88(2), pages 173-181, March.
    3. Lin, Shih-Wei & Ying, Kuo-Ching & Lu, Chung-Cheng & Gupta, Jatinder N.D., 2011. "Applying multi-start simulated annealing to schedule a flowline manufacturing cell with sequence dependent family setup times," International Journal of Production Economics, Elsevier, vol. 130(2), pages 246-254, April.
    4. Minner, Stefan, 2003. "Multiple-supplier inventory models in supply chain management: A review," International Journal of Production Economics, Elsevier, vol. 81(1), pages 265-279, January.
    5. Warren H. Hausman & Nesim K. Erkip, 1994. "Multi-Echelon vs. Single-Echelon Inventory Control Policies for Low-Demand Items," Management Science, INFORMS, vol. 40(5), pages 597-602, May.
    6. Kahn, James A, 1987. "Inventories and the Volatility of Production," American Economic Review, American Economic Association, vol. 77(4), pages 667-679, September.
    7. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    8. Perrott, Bruce E., 2007. "A strategic risk approach to knowledge management," Business Horizons, Elsevier, vol. 50(6), pages 523-533.
    9. Urban, Timothy L., 2005. "A periodic-review model with serially-correlated, inventory-level-dependent demand," International Journal of Production Economics, Elsevier, vol. 95(3), pages 287-295, March.
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    Cited by:

    1. Rafael Diaz, 2016. "Using dynamic demand information and zoning for the storage of non-uniform density stock keeping units," International Journal of Production Research, Taylor & Francis Journals, vol. 54(8), pages 2487-2498, April.
    2. Abdelkader Daghfous & Omar Belkhodja, 2019. "Managing Talent Loss in the Procurement Function: Insights from the Hospitality Industry," Sustainability, MDPI, vol. 11(23), pages 1-19, November.
    3. Abdelkader Daghfous & Taisier Zoubi, 2017. "An Auditing Framework for Knowledge-Enabled Supply Chain Management: Implications for Sustainability," Sustainability, MDPI, vol. 9(5), pages 1-16, May.

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