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Managing Flexible Capacity in a Make-to-Order Environment

Author

Listed:
  • Ebru K. Bish

    (Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia)

  • Ana Muriel

    (Mechanical and Industrial Engineering Department, University of Massachusetts, Amherst, Massachusetts, and Departamento de Economia e Historia Económica, Universidad de Salamanca, Salamanca, Spain)

  • Stephan Biller

    (Manufacturing Systems Research Laboratory, General Motors Research and Development Center, Warren, Michigan)

Abstract

Flexible capacity has been shown to be very effective to hedge against forecast errors at the investment stage. In a make-to-order environment, this flexibility can also be used to hedge against variability in customer orders in the short term. For that purpose, production levels must be adjusted each period to match current demands, to give priority to the higher margin product, or to satisfy the closest customer. However, this will result in swings in production, inducing larger order variability at upstream suppliers and significantly higher component inventory levels at the manufacturer. Through a stylized two-plant, two-product capacitated manufacturing setting, we show that the performance of the system depends heavily on the allocation mechanism used to assign products to the available capacity. Although managers would be inclined to give priority to higher-margin products or to satisfy customers from their closest production site, these practices lead to greater swings in production, result in higher operational costs, and may reduce profits.

Suggested Citation

  • Ebru K. Bish & Ana Muriel & Stephan Biller, 2005. "Managing Flexible Capacity in a Make-to-Order Environment," Management Science, INFORMS, vol. 51(2), pages 167-180, February.
  • Handle: RePEc:inm:ormnsc:v:51:y:2005:i:2:p:167-180
    DOI: 10.1287/mnsc.1040.0322
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    References listed on IDEAS

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    Cited by:

    1. Jodlbauer, Herbert & Altendorfer, Klaus, 2010. "Trade-off between capacity invested and inventory needed," European Journal of Operational Research, Elsevier, vol. 203(1), pages 118-133, May.
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    3. Marc Reimann & Philippe Schiltknecht, 2009. "The role of risk preferences and flexibility for risk management: lessons from a custom manufacturing environment," Review of Managerial Science, Springer, vol. 3(2), pages 117-140, July.
    4. Süleyman Demirel & Izak Duenyas & Roman Kapuscinski, 2015. "Production and Inventory Control for a Make-to-Stock/Calibrate-to-Order System with Dedicated and Shared Resources," Operations Research, INFORMS, vol. 63(4), pages 823-839, August.
    5. Marta Pérez-Pérez & Canan Kocabasoglu-Hillmer & Ana María Serrano-Bedia & María Concepción López-Fernández, 2019. "Manufacturing and Supply Chain Flexibility: Building an Integrative Conceptual Model Through Systematic Literature Review and Bibliometric Analysis," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(1), pages 1-23, December.
    6. Turgay Ayer & Can Zhang & Chenxi Zeng & Chelsea C. White III & V. Roshan Joseph, 2019. "Analysis and Improvement of Blood Collection Operations," Service Science, INFORMS, vol. 21(1), pages 29-46, January.
    7. Kim, Hyunjung & Kim, Eungab, 2022. "A hybrid manufacturing system with demand for intermediate goods and controllable make-to-stock production rate," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1244-1257.
    8. Yang, Liu & Ng, C.T., 2014. "Flexible capacity strategy with multiple market periods under demand uncertainty and investment constraint," European Journal of Operational Research, Elsevier, vol. 236(2), pages 511-521.
    9. Nicholas G. Hall & Zhixin Liu, 2010. "Capacity Allocation and Scheduling in Supply Chains," Operations Research, INFORMS, vol. 58(6), pages 1711-1725, December.
    10. Verma, Nishant Kumar & Chatterjee, Ashish K., 2023. "Process flexibility in the presence of product modularity: Does modularity help?," International Journal of Production Economics, Elsevier, vol. 256(C).
    11. Tanrisever, Fehmi & Morrice, Douglas & Morton, David, 2012. "Managing capacity flexibility in make-to-order production environments," European Journal of Operational Research, Elsevier, vol. 216(2), pages 334-345.
    12. Saurabh Bansal & James S. Dyer, 2017. "Technical Note—Multivariate Partial-Expectation Results for Exact Solutions of Two-Stage Problems," Operations Research, INFORMS, vol. 65(6), pages 1526-1534, December.
    13. Oben Ceryan & Ozge Sahin & Izak Duenyas, 2013. "Dynamic Pricing of Substitutable Products in the Presence of Capacity Flexibility," Manufacturing & Service Operations Management, INFORMS, vol. 15(1), pages 86-101, April.
    14. Altendorfer, Klaus, 2017. "Relation between lead time dependent demand and capacity flexibility in a two-stage supply chain with lost sales," International Journal of Production Economics, Elsevier, vol. 194(C), pages 13-24.
    15. Boulaksil, Y. & Grunow, M. & Fransoo, J.C., 2011. "Capacity flexibility allocation in an outsourced supply chain with reservation," International Journal of Production Economics, Elsevier, vol. 129(1), pages 111-118, January.
    16. 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.
    17. Altendorfer, Klaus & Jodlbauer, Herbert, 2011. "Which utilization and service level lead to the maximum EVA?," International Journal of Production Economics, Elsevier, vol. 130(1), pages 16-26, March.
    18. Wei, Liqun & Zhang, Jianxiong, 2021. "Strategic substitutes or complements? The relationship between capacity sharing and postponement flexibility," European Journal of Operational Research, Elsevier, vol. 294(1), pages 138-148.
    19. Mabel C. Chou & Geoffrey A. Chua & Chung-Piaw Teo & Huan Zheng, 2010. "Design for Process Flexibility: Efficiency of the Long Chain and Sparse Structure," Operations Research, INFORMS, vol. 58(1), pages 43-58, February.
    20. Volling, Thomas & Matzke, Andreas & Grunewald, Martin & Spengler, Thomas S., 2013. "Planning of capacities and orders in build-to-order automobile production: A review," European Journal of Operational Research, Elsevier, vol. 224(2), pages 240-260.
    21. Reimann, Marc & Schiltknecht, Philippe, 2009. "Studying the interdependence of contractual and operational flexibilities in the market of specialty chemicals," European Journal of Operational Research, Elsevier, vol. 198(3), pages 760-772, November.
    22. Ana Muriel & Anand Somasundaram & Yongmei Zhang, 2006. "Impact of Partial Manufacturing Flexibility on Production Variability," Manufacturing & Service Operations Management, INFORMS, vol. 8(2), pages 192-205, April.
    23. Mabel C. Chou & Geoffrey A. Chua & Huan Zheng, 2014. "On the Performance of Sparse Process Structures in Partial Postponement Production Systems," Operations Research, INFORMS, vol. 62(2), pages 348-365, April.
    24. Kristine Watson Hankins, 2011. "How Do Financial Firms Manage Risk? Unraveling the Interaction of Financial and Operational Hedging," Management Science, INFORMS, vol. 57(12), pages 2197-2212, December.

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