IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v43y2013i1p62-78.html
   My bibliography  Save this article

Optimizing Capital Investment Decisions at Intel Corporation

Author

Listed:
  • Karl G. Kempf

    (Decision Engineering Group, Intel Corporation, Chandler, Arizona 85226)

  • Feryal Erhun

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

  • Erik F. Hertzler

    (Technology Manufacturing Engineering, Intel Corporation, Chandler, Arizona 85226)

  • Timothy R. Rosenberg

    (Financial Enterprise Services, Intel Corporation, Chandler, Arizona 85226)

  • Chen Peng

    (Management Science and Engineering, Stanford University, Stanford, California 94305, chenpeng@alumni.stanford.edu; currently at Google Inc., Mountain View, California)

Abstract

Intel Corporation spends over $5 billion annually on manufacturing equipment. With increasing lead times from equipment suppliers and increasing complexity in forecasting market demand, optimizing capital investment decisions is a significant managerial challenge. In response to this challenge, we developed a capital supply chain velocity program for ordering, shipping, and installing production equipment. At the core of this velocity program is a new and additional procurement framework that enables Intel to purchase options from its equipment suppliers for a faster delivery of some equipment. The framework seamlessly combines statistical forecasting with Monte Carlo simulation and stochastic programming to determine the number of options Intel should procure and exercise, and it includes built-in scenario and sensitivity analysis capabilities to support Intel’s contract selection, options reservation, and equipment procurement decisions. The velocity program and the framework provided Intel with hundreds of millions of dollars in cost savings and at least $2 billion in revenue upside during a recent period of global economic crisis.

Suggested Citation

  • 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.
    • Handle: RePEc:inm:orinte:v:43:y:2013:i:1:p:62-78
    DOI: 10.1287/inte.1120.0659
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.1120.0659
    Download Restriction: no
    File URL: https://libkey.io/10.1287/inte.1120.0659?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Özgür Yazlali & Feryal Erhun, 2009. "Dual-supply inventory problem with capacity limits on order sizes and unrestricted ordering costs," IISE Transactions, Taylor & Francis Journals, vol. 41(8), pages 716-729.
    2. Yoichiro Fukuda, 1964. "Optimal Policies for the Inventory Problem with Negotiable Leadtime," Management Science, INFORMS, vol. 10(4), pages 690-708, July.
    3. Liming Liu & Mahmut Parlar & Stuart X. Zhu, 2007. "Pricing and Lead Time Decisions in Decentralized Supply Chains," Management Science, INFORMS, vol. 53(5), pages 713-725, May.
    4. Warren H. Hausman, 1969. "Sequential Decision Problems: A Model to Exploit Existing Forecasters," Management Science, INFORMS, vol. 16(2), pages 93-111, October.
    5. 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.
    6. Jan A. Van Mieghem, 2003. "Commissioned Paper: Capacity Management, Investment, and Hedging: Review and Recent Developments," Manufacturing & Service Operations Management, INFORMS, vol. 5(4), pages 269-302, July.
    7. Xiuli Chao & Hong Chen & Shaohui Zheng, 2009. "Dynamic Capacity Expansion for a Service Firm with Capacity Deterioration and Supply Uncertainty," Operations Research, INFORMS, vol. 57(1), pages 82-93, February.
    8. Qi Feng & Suresh P. Sethi & Houmin Yan & Hanqin Zhang, 2006. "Are Base-Stock Policies Optimal in Inventory Problems with Multiple Delivery Modes?," Operations Research, INFORMS, vol. 54(4), pages 801-807, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dimitrios Folinas & Naoum Tsolakis & Dimitrios Aidonis, 2018. "Logistics Services Sector and Economic Recession in Greece: Challenges and Opportunities," Logistics, MDPI, vol. 2(3), pages 1-16, August.
    2. 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.
    3. Smirnov, Dina & van Jaarsveld, Willem & Atan, Zümbül & de Kok, Ton, 2021. "Long-term resource planning in the high-tech industry: Capacity or inventory?," European Journal of Operational Research, Elsevier, vol. 293(3), pages 926-940.
    4. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. Zhu, Stuart X., 2015. "Analysis of dual sourcing strategies under supply disruptions," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 191-203.
    4. Zhu, Stuart X., 2015. "Dynamic replenishment from two sources with different yields, costs, and leadtimes," International Journal of Production Economics, Elsevier, vol. 165(C), pages 79-89.
    5. Hongyan Li & Joern Meissner, 2018. "Capacity optimization and competition with cyclical and lead-time-dependent demands," Annals of Operations Research, Springer, vol. 271(2), pages 737-763, December.
    6. Boulaksil, Youssef & Hamdouch, Younes & Ghoudi, Kilani & Fransoo, Jan C., 2021. "Comparing policies for the stochastic multi-period dual sourcing problem from a supply chain perspective," Other publications TiSEM 242598b9-99de-4a3c-a1a9-4, Tilburg University, School of Economics and Management.
    7. Boulaksil, Youssef & Hamdouch, Younes & Ghoudi, Kilani & Fransoo, Jan C., 2021. "Comparing policies for the stochastic multi-period dual sourcing problem from a supply chain perspective," International Journal of Production Economics, Elsevier, vol. 232(C).
    8. Wenbin Wang & Mark E. Ferguson & Shanshan Hu & Gilvan C. Souza, 2013. "Dynamic Capacity Investment with Two Competing Technologies," Manufacturing & Service Operations Management, INFORMS, vol. 15(4), pages 616-629, October.
    9. Dong, Chuanwen & Transchel, Sandra, 2020. "A dual sourcing inventory model for modal split transport: Structural properties and optimal solution," European Journal of Operational Research, Elsevier, vol. 283(3), pages 883-900.
    10. Arts, Joachim & Kiesmüller, Gudrun P., 2013. "Analysis of a two-echelon inventory system with two supply modes," European Journal of Operational Research, Elsevier, vol. 225(2), pages 263-272.
    11. Anyan Qi & Hyun-Soo Ahn & Amitabh Sinha, 2017. "Capacity Investment with Demand Learning," Operations Research, INFORMS, vol. 65(1), pages 145-164, February.
    12. Anshul Sheopuri & Ganesh Janakiraman & Sridhar Seshadri, 2010. "New Policies for the Stochastic Inventory Control Problem with Two Supply Sources," Operations Research, INFORMS, vol. 58(3), pages 734-745, June.
    13. Tao Lu & Jan C. Fransoo & Chung-Yee Lee, 2017. "Carrier Portfolio Management for Shipping Seasonal Products," Operations Research, INFORMS, vol. 65(5), pages 1250-1266, October.
    14. Jakšič, M. & Fransoo, J.C., 2018. "Dual sourcing in the age of near-shoring: Trading off stochastic capacity limitations and long lead times," European Journal of Operational Research, Elsevier, vol. 267(1), pages 150-161.
    15. Xie, Chen & Wang, Liangquan & Yang, Chaolin, 2021. "Robust inventory management with multiple supply sources," European Journal of Operational Research, Elsevier, vol. 295(2), pages 463-474.
    16. Drent, Melvin & Moradi, Poulad & Arts, Joachim, 2023. "Efficient emission reduction through dynamic supply mode selection," European Journal of Operational Research, Elsevier, vol. 311(3), pages 925-941.
    17. Tong Wang & Xiaoyue Yan & Chaolin Yang, 2021. "Managing a Hybrid RDC‐DC Inventory System," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3679-3697, October.
    18. Chand, Suresh & Li, Jian & Xu, Yanyi, 2016. "A periodic review inventory model with two delivery modes, fractional lead-times, and age-and-period-dependent backlogging costs," International Journal of Production Economics, Elsevier, vol. 173(C), pages 199-206.
    19. Hekimoğlu, Mustafa & Scheller-Wolf, Alan, 2023. "Dual sourcing models with stock-out dependent substitution," European Journal of Operational Research, Elsevier, vol. 311(2), pages 472-485.
    20. Chaolin Yang & Diyuan Huang & Chenyang Xu, 2022. "Multi-index base-stock policy for inventory systems with multiple capacitated suppliers," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(1), pages 155-177, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orinte:v:43:y:2013:i:1:p:62-78. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.