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Determining the value of asset location information systems in a manufacturing environment

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  • Kelepouris, Thomas
  • McFarlane, Duncan

Abstract

The efficiency of manufacturing operations is often seriously affected by significant amounts of time spent searching for misplaced assets. Real-time location systems (RTLS) provide a promising approach for reducing wasted time. Given the difference in information precision and system costs, the quantification of the expected benefits from these systems is a challenging task. In this paper we present an analytic method for calculating the expected savings from a location information system and we demonstrate this through a case example. The model enables us to compare different location information systems and provides insights into the factors that affect the value that each system delivers.

Suggested Citation

  • Kelepouris, Thomas & McFarlane, Duncan, 2010. "Determining the value of asset location information systems in a manufacturing environment," International Journal of Production Economics, Elsevier, vol. 126(2), pages 324-334, August.
    • Handle: RePEc:eee:proeco:v:126:y:2010:i:2:p:324-334
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    References listed on IDEAS

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    1. Schlee, Edward, 1990. "The Value of Information in Anticipated Utility Theory," Journal of Risk and Uncertainty, Springer, vol. 3(1), pages 83-92, March.
    2. Véronneau, Simon & Roy, Jacques, 2009. "RFID benefits, costs, and possibilities: The economical analysis of RFID deployment in a cruise corporation global service supply chain," International Journal of Production Economics, Elsevier, vol. 122(2), pages 692-702, December.
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    Cited by:

    1. Tang, Lin & Cao, Hui & Zheng, Li & Huang, Ningjian, 2015. "Value-driven uncertainty-aware data processing for an RFID-enabled mixed-model assembly line," International Journal of Production Economics, Elsevier, vol. 165(C), pages 273-281.
    2. Zhou, Wei & Piramuthu, Selwyn, 2012. "Manufacturing with item-level RFID information: From macro to micro quality control," International Journal of Production Economics, Elsevier, vol. 135(2), pages 929-938.

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