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On the value of location information to lot scheduling in complex manufacturing processes

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  • Thiesse, Frédéric
  • Fleisch, Elgar

Abstract

This research is concerned with the practical use of real-time location systems (RTLSs) in complex manufacturing processes. Starting from the case example of an RFID-based RTLS implementation in a semiconductor fab, we investigate the value of RTLS information on the locations of physical objects in a production system to the problem of efficient job scheduling. For this purpose, we develop a simplified simulation model that captures the main characteristics of the real manufacturing process and propose a set of RTLS-enabled dispatching rules. Our results indicate that the use of RTLS technology provides the opportunity for new levels of process visibility and control in comparison to conventional material-tracking systems. The benefits that can be drawn from the technology include not only an overall acceleration of the existing process but also an additional efficiency gain through novel dispatching rules that take into account real-time information on the logistic processes on the shop floor.

Suggested Citation

  • Thiesse, Frédéric & Fleisch, Elgar, 2008. "On the value of location information to lot scheduling in complex manufacturing processes," International Journal of Production Economics, Elsevier, vol. 112(2), pages 532-547, April.
    • Handle: RePEc:eee:proeco:v:112:y:2008:i:2:p:532-547
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    References listed on IDEAS

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    1. Nazzal, Dima & Mollaghasemi, Mansooreh & Anderson, Dave, 2006. "A simulation-based evaluation of the cost of cycle time reduction in Agere Systems wafer fabrication facility--a case study," International Journal of Production Economics, Elsevier, vol. 100(2), pages 300-313, April.
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    4. Holthaus, Oliver & Rajendran, Chandrasekharan, 1997. "Efficient dispatching rules for scheduling in a job shop," International Journal of Production Economics, Elsevier, vol. 48(1), pages 87-105, January.
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    Cited by:

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    2. Romauch, Martin & Hartl, Richard F., 2017. "Capacity planning for cluster tools in the semiconductor industry," International Journal of Production Economics, Elsevier, vol. 194(C), pages 167-180.
    3. 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.
    4. Zhou, Wei & Piramuthu, Selwyn, 2013. "Remanufacturing with RFID item-level information: Optimization, waste reduction and quality improvement," International Journal of Production Economics, Elsevier, vol. 145(2), pages 647-657.
    5. Yao, Shiqing & Jiang, Zhibin & Li, Na & Zhang, Huai & Geng, Na, 2011. "A multi-objective dynamic scheduling approach using multiple attribute decision making in semiconductor manufacturing," International Journal of Production Economics, Elsevier, vol. 130(1), pages 125-133, March.
    6. Ngai, Eric W.T. & Cheung, Bernard K.S. & Lam, S.S. & Ng, C.T., 2014. "RFID value in aircraft parts supply chains: A case study," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 330-339.
    7. 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.
    8. 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.
    9. 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.
    10. 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.

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