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Optimizing Site Qualification Across the Supply Network at Western Digital

Author

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  • Bo Liao

    (Analytics Center of Excellence, Silicon Operations, Western Digital Corporation, Milpitas, California 95035)

  • Candace Arai Yano

    (Department of Industrial Engineering and Operations Research and Haas School of Business, University of California, Berkeley, California 94720)

  • Shiva Esturi

    (Supply Chain Strategy and Optimization, Silicon Operations, Western Digital Corporation, Milpitas, California 95035)

Abstract

We describe an optimization-based methodology that Western Digital implemented to support its site-qualification decisions; that is, which sites(s) are qualified to produce each of its products. Qualifying a product at a site commonly takes several months and hundreds of hours of engineering effort. These decisions are especially challenging because Western Digital Silicon Operations offers thousands of products; and demands more than a month or two into the future are very uncertain, as they are with many electronic products. Therefore, because shortages result in lost sales, the company must consider both expected demand and demand uncertainty. We solve the problem as a mixed-integer stochastic program with multiple stages of recourse, using a linear programming solver for the recourse stages and a greedy heuristic to determine the site qualifications. Western Digital deployed the model starting in the first quarter of 2015 and established a quarterly process for making site-qualification decisions. The decision support tool facilitated a more streamlined decision process and has already provided substantial savings to Western Digital.

Suggested Citation

  • Bo Liao & Candace Arai Yano & Shiva Esturi, 2017. "Optimizing Site Qualification Across the Supply Network at Western Digital," Interfaces, INFORMS, vol. 47(4), pages 305-319, August.
    • Handle: RePEc:inm:orinte:v:47:y:2017:i:4:p:305-319
    DOI: 10.1287/inte.2017.0898
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    References listed on IDEAS

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    1. Jan A. Van Mieghem, 1998. "Investment Strategies for Flexible Resources," Management Science, INFORMS, vol. 44(8), pages 1071-1078, August.
    2. Stephen C. Graves & Brian T. Tomlin, 2003. "Process Flexibility in Supply Chains," Management Science, INFORMS, vol. 49(7), pages 907-919, July.
    3. Charles H. Fine & Robert M. Freund, 1990. "Optimal Investment in Product-Flexible Manufacturing Capacity," Management Science, INFORMS, vol. 36(4), pages 449-466, April.
    4. David Simchi-Levi & Yehua Wei, 2012. "Understanding the Performance of the Long Chain and Sparse Designs in Process Flexibility," Operations Research, INFORMS, vol. 60(5), pages 1125-1141, October.
    5. William C. Jordan & Stephen C. Graves, 1995. "Principles on the Benefits of Manufacturing Process Flexibility," Management Science, INFORMS, vol. 41(4), pages 577-594, April.
    6. Gupta, Diwakar & Gerchak, Yigal & Buzacott, John A., 1992. "The optimal mix of flexible and dedicated manufacturing capacities: Hedging against demand uncertainty," International Journal of Production Economics, Elsevier, vol. 28(3), pages 309-319, December.
    7. Santoso, Tjendera & Ahmed, Shabbir & Goetschalckx, Marc & Shapiro, Alexander, 2005. "A stochastic programming approach for supply chain network design under uncertainty," European Journal of Operational Research, Elsevier, vol. 167(1), pages 96-115, November.
    8. Chou, Mabel C. & Chua, Geoffrey A. & Teo, Chung-Piaw, 2010. "On range and response: Dimensions of process flexibility," European Journal of Operational Research, Elsevier, vol. 207(2), pages 711-724, December.
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    1. Perraudat, Antoine & Dauzère-Pérès, Stéphane & Vialletelle, Philippe, 2022. "Robust tactical qualification decisions in flexible manufacturing systems," Omega, Elsevier, vol. 106(C).

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