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Production and Inventory Control for a Make-to-Stock/Calibrate-to-Order System with Dedicated and Shared Resources

Author

Listed:
  • Süleyman Demirel

    (Amazon, Seattle, Washington 98109)

  • Izak Duenyas

    (Ross School of Business, University of Michigan, Ann Arbor, Michigan 48109)

  • Roman Kapuscinski

    (Ross School of Business, University of Michigan, Ann Arbor, Michigan 48109)

Abstract

Consider a firm that produces multiple products on dedicated production lines (stage 1), which are further customized/calibrated on a shared resource (stage 2), common to all products. The dedicated production lines and the shared resource for calibration face capacity uncertainties. The firm holds inventory of products that are not yet calibrated and carries out calibration when an order is received. We analyze a multiperiod inventory model for two products and derive the optimal production policy at stage 1 as well as the optimal allocation of the shared resource to demands at stage 2. For the shared resource, because of its capacity uncertainty, not only the total planned production quantities matter, but also the sequence in which the products are processed. We characterize the optimal allocation of the shared resource and show that the optimal policy keeps the ending inventories of products as close to a so-called “ target path ” as possible. For the dedicated production lines, because of their capacity uncertainty, the optimal production policy depends on the initial inventories. We identify and characterize the structural properties of the optimal production policy. Through a numerical study, we explore how the presence of finite shared capacity influences the inventory targets. We find that the behavior may be counterintuitive: when multiple products share a finite capacity in stage 2, the inventory target for the product having a larger dedicated production capacity or less capacity variability in stage 1 can be higher than the other product. We finally provide sensitivity analysis for the optimal policy and test the performance of simple heuristic policies.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:oropre:v:63:y:2015:i:4:p:823-839
    DOI: 10.1287/opre.2015.1387
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    References listed on IDEAS

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    1. Francis De Vericourt & Fikri Karaesmen & Yves Dallery, 2000. "Dynamic Scheduling in a Make-to-Stock System: A Partial Characterization of Optimal Policies," Operations Research, INFORMS, vol. 48(5), pages 811-819, October.
    2. Ramesh Bollapragada & Uday S. Rao & Jun Zhang, 2004. "Managing Inventory and Supply Performance in Assembly Systems with Random Supply Capacity and Demand," Management Science, INFORMS, vol. 50(12), pages 1729-1743, December.
    3. Andrew J. Clark & Herbert Scarf, 2004. "Optimal Policies for a Multi-Echelon Inventory Problem," Management Science, INFORMS, vol. 50(12_supple), pages 1782-1790, December.
    4. Ganesh Janakiraman & John A. Muckstadt, 2009. "A Decomposition Approach for a Class of Capacitated Serial Systems," Operations Research, INFORMS, vol. 57(6), pages 1384-1393, December.
    5. Erica L. Plambeck & Amy R. Ward, 2007. "Note: A Separation Principle for a Class of Assemble-to-Order Systems with Expediting," Operations Research, INFORMS, vol. 55(3), pages 603-609, June.
    6. 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.
    7. 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.
    8. Frank W. Ciarallo & Ramakrishna Akella & Thomas E. Morton, 1994. "A Periodic Review, Production Planning Model with Uncertain Capacity and Uncertain Demand---Optimality of Extended Myopic Policies," Management Science, INFORMS, vol. 40(3), pages 320-332, March.
    9. Arthur F. Veinott, Jr., 1966. "The Status of Mathematical Inventory Theory," Management Science, INFORMS, vol. 12(11), pages 745-777, July.
    10. Yossi Aviv & Awi Federgruen, 2001. "Capacitated Multi-Item Inventory Systems with Random and Seasonally Fluctuating Demands: Implications for Postponement Strategies," Management Science, INFORMS, vol. 47(4), pages 512-531, April.
    11. Izak Duenyas & Wallace J. Hopp & Yehuda Bassok, 1997. "Production Quotas as Bounds on Interplant JIT Contracts," Management Science, INFORMS, vol. 43(10), pages 1372-1386, October.
    12. Ke Fu & Vernon Ning Hsu & Chung-Yee Lee, 2006. "Inventory and Production Decisions for an Assemble-to-Order System with Uncertain Demand and Limited Assembly Capacity," Operations Research, INFORMS, vol. 54(6), pages 1137-1150, December.
    13. Gregory A. DeCroix & Antonio Arreola-Risa, 1998. "Optimal Production and Inventory Policy for Multiple Products Under Resource Constraints," Management Science, INFORMS, vol. 44(7), pages 950-961, July.
    14. Jan A. Van Mieghem & Nils Rudi, 2002. "Newsvendor Networks: Inventory Management and Capacity Investment with Discretionary Activities," Manufacturing & Service Operations Management, INFORMS, vol. 4(4), pages 313-335, August.
    15. Xinxin Hu & Izak Duenyas & Roman Kapuscinski, 2008. "Optimal Joint Inventory and Transshipment Control Under Uncertain Capacity," Operations Research, INFORMS, vol. 56(4), pages 881-897, August.
    16. Savas Dayanik & Jing-Sheng Song & Susan H. Xu, 2003. "The Effectiveness of Several Performance Bounds for Capacitated Production, Partial-Order-Service, Assemble-to-Order Systems," Manufacturing & Service Operations Management, INFORMS, vol. 5(3), pages 230-251, December.
    17. Chen Shaoxiang, 2004. "The Optimality of Hedging Point Policies for Stochastic Two-Product Flexible Manufacturing Systems," Operations Research, INFORMS, vol. 52(2), pages 312-322, April.
    18. Rodney P. Parker & Roman Kapuscinski, 2004. "Optimal Policies for a Capacitated Two-Echelon Inventory System," Operations Research, INFORMS, vol. 52(5), pages 739-755, October.
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