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The Impact of Adding a Make-to-Order Item to a Make-to-Stock Production System

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  • Awi Federgruen

    (Graduate School of Business, Columbia University, New York, New York 10027)

  • Ziv Katalan

    (The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

Abstract

Stochastic Economic Lot Scheduling Problems (ELSPs) involve settings where several items need to be produced in a common facility with limited capacity, under significant uncertainty regarding demands, unit production times, setup times, or combinations thereof. We consider systems where some products are made-to-stock while another product line is made-to-order. We present a rich and effective class of strategies for which a variety of cost and performance measures can be evaluated and optimized efficiently by analytical methods. These include inventory level and waiting-time distributions, as well as average setup, holding, and backlogging costs. We also characterize how strategy choices are affected by the system parameters. The availability of efficient analytical evaluation and optimization methods permits us to address the impact of product line diversification or standardization on the performance of the manufacturing system, in particular the logistical implications of adding low-volume specialized models to a given make-to-stock product line.

Suggested Citation

  • Awi Federgruen & Ziv Katalan, 1999. "The Impact of Adding a Make-to-Order Item to a Make-to-Stock Production System," Management Science, INFORMS, vol. 45(7), pages 980-994, July.
  • Handle: RePEc:inm:ormnsc:v:45:y:1999:i:7:p:980-994
    DOI: 10.1287/mnsc.45.7.980
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Olhager, Jan & Prajogo, Daniel I., 2012. "The impact of manufacturing and supply chain improvement initiatives: A survey comparing make-to-order and make-to-stock firms," Omega, Elsevier, vol. 40(2), pages 159-165, April.
    2. Soman, Chetan Anil & Pieter van Donk, Dirk & Gaalman, Gerard, 2006. "Comparison of dynamic scheduling policies for hybrid make-to-order and make-to-stock production systems with stochastic demand," International Journal of Production Economics, Elsevier, vol. 104(2), pages 441-453, December.
    3. Beemsterboer, Bart & Land, Martin & Teunter, Ruud, 2017. "Flexible lot sizing in hybrid make-to-order/make-to-stock production planning," European Journal of Operational Research, Elsevier, vol. 260(3), pages 1014-1023.
    4. Zhang, Zhe George & Kim, Ilhyung & Springer, Mark & Cai, Gangshu (George) & Yu, Yugang, 2013. "Dynamic pooling of make-to-stock and make-to-order operations," International Journal of Production Economics, Elsevier, vol. 144(1), pages 44-56.
    5. Beemsterboer, Bart & Land, Martin & Teunter, Ruud & Bokhorst, Jos, 2017. "Integrating make-to-order and make-to-stock in job shop control," International Journal of Production Economics, Elsevier, vol. 185(C), pages 1-10.
    6. Winands, E.M.M. & Adan, I.J.B.F. & van Houtum, G.J., 2011. "The stochastic economic lot scheduling problem: A survey," European Journal of Operational Research, Elsevier, vol. 210(1), pages 1-9, April.
    7. Hongler, Max-Olivier & Ciprut, Philippe, 2001. "Production indices obtained by a myopic policy for non-Markovian dynamics," International Journal of Production Economics, Elsevier, vol. 74(1-3), pages 115-123, December.
    8. 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).
    9. Tang, Loon Ching & Lee, Loo Hay, 2005. "A simple recovery strategy for economic lot scheduling problem: A two-product case," International Journal of Production Economics, Elsevier, vol. 98(1), pages 97-107, October.
    10. Xin, Linwei & Goldberg, David A., 2021. "Time (in)consistency of multistage distributionally robust inventory models with moment constraints," European Journal of Operational Research, Elsevier, vol. 289(3), pages 1127-1141.
    11. repec:dgr:rugsom:02a49 is not listed on IDEAS
    12. Martínez-Olvera, César, 2009. "Benefits of using hybrid business models within a supply chain," International Journal of Production Economics, Elsevier, vol. 120(2), pages 501-511, August.
    13. Beemsterboer, Bart & Land, Martin & Teunter, Ruud & Bokhorst, Jos, 2017. "Reprint of “Integrating make-to-order and make-to-stock in job shop control”," International Journal of Production Economics, Elsevier, vol. 194(C), pages 3-12.
    14. Soman, Chetan Anil & Donk, Dirk Pieter van & Gaalman, Gerard, 2002. "Combined make-to-order and make-to-stock in a food production system," Research Report 02A49, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    15. Jiahua Zhang & Lian Qi & Shilu Tong, 2021. "Dynamic Contract under Quick Response in a Supply Chain with Information Asymmetry," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1273-1289, May.
    16. Jelmer P. Gaast & Ivo J. B. F. Adan & René B. M. Koster, 2017. "The analysis of batch sojourn-times in polling systems," Queueing Systems: Theory and Applications, Springer, vol. 85(3), pages 313-335, April.
    17. S. Rajagopalan, 2002. "Make to Order or Make to Stock: Model and Application," Management Science, INFORMS, vol. 48(2), pages 241-256, February.
    18. 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.
    19. Garn, Wolfgang & Aitken, James, 2015. "Agile factorial production for a single manufacturing line with multiple products," European Journal of Operational Research, Elsevier, vol. 245(3), pages 754-766.
    20. 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).
    21. Iman Ghalehkhondabi & Ehsan Ardjmand & Gary Weckman, 2017. "Integrated decision making model for pricing and locating the customer order decoupling point of a newsvendor supply chain," OPSEARCH, Springer;Operational Research Society of India, vol. 54(2), pages 417-439, June.
    22. Ghose, Sanjoy & Liu, John J. & Bhatnagar, Amit & Kurata, Hisashi, 2005. "Modeling the role of retail price formats, and retailer competition types on production schedule strategy," European Journal of Operational Research, Elsevier, vol. 164(1), pages 173-184, July.
    23. Soman, Chetan Anil & van Donk, Dirk Pieter & Gaalman, Gerard, 2004. "Combined make-to-order and make-to-stock in a food production system," International Journal of Production Economics, Elsevier, vol. 90(2), pages 223-235, July.
    24. Konur, Dinçer, 2017. "Non-collaborative emission targets joining and quantity flow decisions in a Stackelberg setting," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 60-82.
    25. Calle, Marcos & González-R, Pedro L. & Leon, Jose M. & Pierreval, Henri & Canca, David, 2016. "Integrated management of inventory and production systems based on floating decoupling point and real-time information: A simulation based analysis," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 48-57.

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