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Capacity Management for Contract Manufacturing

Author

Listed:
  • Diwakar Gupta

    (Graduate Program in Industrial and Systems Engineering, Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455)

  • Lei Wang

    (SmartOps Corporation, One North Shore Center, 12 Federal Street, Pittsburgh, Pennsylvania 15212)

Abstract

Contract manufacturers sell capacity under different terms to different buyers. In a common practice, the supplier offers a market standard price and lead-time combination for products listed in its catalog. At the same time, it strikes contracts with some high-volume customers who require recurring delivery of a custom product at a short notice, usually timed to meet the buyer’s production schedule. Whereas the manufacturer is obligated to satisfy demand from these customers, it can dynamically choose which transactional orders to accept. In this paper, we analyze two scenarios. In the first scenario, the manufacturer produces contractual orders on a make-to-order basis, and in the second, it maintains finished goods inventory for such orders. At each decision epoch, the manufacturer decides which transactional orders to accept to maximize its long-run expected profit. When contractual items are made to stock, the manufacturer also chooses how much extra capacity to allocate to contractual items, over and above what is needed to meet realized demand. We establish the structure of the optimal policies and propose scalable heuristics when optimal policies are hard to compute/implement. Our models are then used to study the effect of demand variability on the optimal profit. We also show how the amount of capacity available, relative to demand, changes the desirability of serving either transactional-only or both markets.

Suggested Citation

  • Diwakar Gupta & Lei Wang, 2007. "Capacity Management for Contract Manufacturing," Operations Research, INFORMS, vol. 55(2), pages 367-377, April.
  • Handle: RePEc:inm:oropre:v:55:y:2007:i:2:p:367-377
    DOI: 10.1287/opre.1060.0359
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    References listed on IDEAS

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    Cited by:

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    3. Long Gao & Susan H. Xu & Michael O. Ball, 2012. "Managing an Available-to-Promise Assembly System with Dynamic Short-Term Pseudo-Order Forecast," Management Science, INFORMS, vol. 58(4), pages 770-790, April.
    4. Pereira, Daniel Filipe & Oliveira, José Fernando & Carravilla, Maria Antónia, 2022. "Merging make-to-stock/make-to-order decisions into sales and operations planning: A multi-objective approach," Omega, Elsevier, vol. 107(C).
    5. Chevalier, Philippe & Lamas, Alejandro & Lu, Liang & Mlinar, Tanja, 2015. "Revenue management for operations with urgent orders," European Journal of Operational Research, Elsevier, vol. 240(2), pages 476-487.
    6. Beemsterboer, Bart & Land, Martin & Teunter, Ruud, 2016. "Hybrid MTO-MTS production planning: An explorative study," European Journal of Operational Research, Elsevier, vol. 248(2), pages 453-461.
    7. Han, Chaodong & Porterfield, Tobin & Li, Xiaolin, 2012. "Impact of industry competition on contract manufacturing: An empirical study of U.S. manufacturers," International Journal of Production Economics, Elsevier, vol. 138(1), pages 159-169.
    8. Quante, R. & Fleischmann, M. & Meyr, H., 2009. "A Stochastic Dynamic Programming Approach to Revenue Management in a Make-to-Stock Production System," ERIM Report Series Research in Management ERS-2009-015-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Sato, Yutaro & Maeda, Hiroyuki & Toshima, Ryusei & Nagasawa, Keisuke & Morikawa, Katsumi & Takahashi, Katsuhiko, 2023. "Switching decisions in a hybrid MTS/MTO production system comprising multiple machines considering setup," International Journal of Production Economics, Elsevier, vol. 263(C).
    10. Ray, Saibal & Song, Yuyue & Verma, Manish, 2010. "Comparison of two periodic review models for stochastic and price-sensitive demand environment," International Journal of Production Economics, Elsevier, vol. 128(1), pages 209-222, November.
    11. Klein, Robert & Koch, Sebastian & Steinhardt, Claudius & Strauss, Arne K., 2020. "A review of revenue management: Recent generalizations and advances in industry applications," European Journal of Operational Research, Elsevier, vol. 284(2), pages 397-412.
    12. Secil Savasaneril & Ece Sayin, 2017. "Dynamic lead time quotation under responsive inventory and multiple customer classes," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(1), pages 95-135, January.
    13. Kevin Taaffe & Edwin Romeijn & Deepak Tirumalasetty, 2008. "A selective newsvendor approach to order management," Naval Research Logistics (NRL), John Wiley & Sons, vol. 55(8), pages 769-784, December.
    14. Keumseok Kang & J. George Shanthikumar & Kemal Altinkemer, 2016. "Postponable Acceptance and Assignment: A Stochastic Dynamic Programming Approach," Manufacturing & Service Operations Management, INFORMS, vol. 18(4), pages 493-508, October.
    15. Moreira, Solon & Klueter, Thomas Maximilian & Asija, Aman, 2023. "Market for technology 2.0? Reassessing the role of complementary assets on licensing decisions," Research Policy, Elsevier, vol. 52(7).

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