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Capacity Planning in the Semiconductor Industry: Dual-Mode Procurement with Options

Author

Listed:
  • Chen Peng

    (Management Science and Engineering, Stanford University, Stanford, California 94305)

  • Feryal Erhun

    (Management Science and Engineering, Stanford University, Stanford, California 94305)

  • Erik F. Hertzler

    (Intel Corporation, Chandler, Arizona 85226)

  • Karl G. Kempf

    (Intel Corporation, Chandler, Arizona 85226)

Abstract

To help a firm reduce inefficiencies associated with equipment capacity planning, we propose a dual-mode equipment procurement (DMEP) framework. DMEP combines dual-source (i.e., a less-expensive-but-slower base mode and a faster-but-more-expensive flexible mode) procurement with option contracts in three layers: a contract negotiation layer, where the firm chooses the best combination of lead time and price for each mode from the supply contract menu; a capacity reservation layer, where the firm reserves total equipment procurement quantities from the two supply modes before the planning horizon starts; and an execution layer, where the firm orders equipment from the two supply modes based on the updated demand information. We first investigate the execution layer as a dynamic dual-source capacity expansion problem with demand backlogging and demonstrate that the optimal policy lacks structure even under the simplest setting. Thus, we propose a heuristic solution for the execution-layer problem, which also serves as a building block for the other two layers. Through numerical analysis, we quantify the value of the added flexibility of DMEP for the firm. The DMEP framework has been implemented at Intel Corporation and has resulted in savings of tens of millions of dollars for one process technology.

Suggested Citation

  • Chen Peng & Feryal Erhun & Erik F. Hertzler & Karl G. Kempf, 2012. "Capacity Planning in the Semiconductor Industry: Dual-Mode Procurement with Options," Manufacturing & Service Operations Management, INFORMS, vol. 14(2), pages 170-185, April.
    • Handle: RePEc:inm:ormsom:v:14:y:2012:i:2:p:170-185
    DOI: 10.1287/msom.1110.0361
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    References listed on IDEAS

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    Cited by:

    1. Karl G. Kempf & Feryal Erhun & Erik F. Hertzler & Timothy R. Rosenberg & Chen Peng, 2013. "Optimizing Capital Investment Decisions at Intel Corporation," Interfaces, INFORMS, vol. 43(1), pages 62-78, February.
    2. Jian Yang & Jichang Dong & Suixiang Gao & Guoqing Wang, 2023. "Blockchain-Based Long-Term Capacity Planning for Semiconductor Supply Chain Manufacturers," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    3. Joris Wagenaar & Ioannis Fragkos & Rob Zuidwijk, 2021. "Integrated Planning for Multimodal Networks with Disruptions and Customer Service Requirements," Transportation Science, INFORMS, vol. 55(1), pages 196-221, 1-2.
    4. Merzifonluoglu, Yasemin, 2017. "Integrated demand and procurement portfolio management with spot market volatility and option contracts," European Journal of Operational Research, Elsevier, vol. 258(1), pages 181-192.
    5. Gah-Yi Ban & Jérémie Gallien & Adam J. Mersereau, 2019. "Dynamic Procurement of New Products with Covariate Information: The Residual Tree Method," Manufacturing & Service Operations Management, INFORMS, vol. 21(4), pages 798-815, October.
    6. Wagner, Stephan M. & Grosse-Ruyken, Pan Theo & Erhun, Feryal, 2018. "Determinants of sourcing flexibility and its impact on performance," International Journal of Production Economics, Elsevier, vol. 205(C), pages 329-341.
    7. Hua, Shengya & Liu, Jingchen & Cheng, T.C.E. & Zhai, Xin, 2019. "Financing and ordering strategies for a supply chain under the option contract," International Journal of Production Economics, Elsevier, vol. 208(C), pages 100-121.
    8. Mohammadivojdan, Roshanak & Merzifonluoglu, Yasemin & Geunes, Joseph, 2022. "Procurement portfolio planning for a newsvendor with supplier delivery uncertainty," European Journal of Operational Research, Elsevier, vol. 297(3), pages 917-929.
    9. Hongmin Li & Dieter Armbruster & Karl G. Kempf, 2013. "A Population-Growth Model for Multiple Generations of Technology Products," Manufacturing & Service Operations Management, INFORMS, vol. 15(3), pages 343-360, July.
    10. Wiedenmann, Susanne & Geldermann, Jutta, 2015. "Supply planning for processors of agricultural raw materials," European Journal of Operational Research, Elsevier, vol. 242(2), pages 606-619.
    11. Wei Zhang & Sriram Dasu & Reza Ahmadi, 2017. "Higher Prices for Larger Quantities? Nonmonotonic Price–Quantity Relations in B2B Markets," Management Science, INFORMS, vol. 63(7), pages 2108-2126, July.
    12. Wu, Xiaole & Kouvelis, Panos & Matsuo, Hirofumi & Sano, Hiroki, 2014. "Horizontal coordinating contracts in the semiconductor industry," European Journal of Operational Research, Elsevier, vol. 237(3), pages 887-897.
    13. Svoboda, Josef & Minner, Stefan & Yao, Man, 2021. "Typology and literature review on multiple supplier inventory control models," European Journal of Operational Research, Elsevier, vol. 293(1), pages 1-23.

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