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Measuring Complexity in High-Technology Manufacturing: Indexes for Evaluation

Author

Listed:
  • William W. Cooper

    (Department of Management, College of Business Administration, The University of Texas at Austin, Austin, Texas 78712)

  • Kingshuk K. Sinha

    (Operations and Management Science Department, Carlson School of Management, University of Minnesota, Minneapolis, Minnesota 55455)

  • Robert S. Sullivan

    (Graduate School of Industrial Administration, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

Abstract

Making strategic decisions based on performance evaluation across wafer fabrication plants in semiconductor manufacturing companies or across companies within the semiconductor industry is challenging because relevant information regarding competitors is not publicly available. One common practice is to analyze the performance of the plant longitudinally. However, as product and process technologies and product mixes change rapidly, the same plant cannot be compared across time periods. In a collaborative research project with a semiconductor manufacturing company, we conceptualized complexity and operationalized it in the form of indexes. We then applied these indexes to the operations of a wafer fabrication plant to assess the changes in its operational complexity on a monthly basis. The indexes proved very useful as inputs to models for evaluating the performance of the plant relative to competition, for formulating cost strategies, and for supporting production planning decisions.

Suggested Citation

  • William W. Cooper & Kingshuk K. Sinha & Robert S. Sullivan, 1992. "Measuring Complexity in High-Technology Manufacturing: Indexes for Evaluation," Interfaces, INFORMS, vol. 22(4), pages 38-48, August.
    • Handle: RePEc:inm:orinte:v:22:y:1992:i:4:p:38-48
    DOI: 10.1287/inte.22.4.38
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    Citations

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    Cited by:

    1. Rajiv D. Banker & Joy M. Field & Kingshuk K. Sinha, 2001. "Work-Team Implementation and Trajectories of Manufacturing Quality: A Longitudinal Field Study," Manufacturing & Service Operations Management, INFORMS, vol. 3(1), pages 25-42, November.
    2. Glover, Fred & Sueyoshi, Toshiyuki, 2009. "Contributions of Professor William W. Cooper in Operations Research and Management Science," European Journal of Operational Research, Elsevier, vol. 197(1), pages 1-16, August.
    3. Mohammad H. Eslami & Nicolette Lakemond, 2016. "Internal Integration In Complex Collaborative Product Development Projects," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(01), pages 1-28, January.
    4. Fitzgerald, Guy & Barad, Miryam & Papazafeiropoulou, Anastasia & Alaa, Ghada, 2009. "A framework for analyzing flexibility of generic objects," International Journal of Production Economics, Elsevier, vol. 122(1), pages 329-339, November.
    5. Remigiusz Kozlowski & Marek Matejun, 2015. "The identification of difficulties in using advanced technologies in the implementation of projects," International Journal of Business and Management, International Institute of Social and Economic Sciences, vol. 3(4), pages 41-60, November.
    6. Vladimir Modrak & Zuzana Soltysova, 2017. "Novel Complexity Indicator of Manufacturing Process Chains and Its Relations to Indirect Complexity Indicators," Complexity, Hindawi, vol. 2017, pages 1-15, June.
    7. Caridi, Maria & Crippa, Luca & Perego, Alessandro & Sianesi, Andrea & Tumino, Angela, 2010. "Do virtuality and complexity affect supply chain visibility?," International Journal of Production Economics, Elsevier, vol. 127(2), pages 372-383, October.

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