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Selecting sourcing partners for a make-to-order supply chain

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  • Yue, Jinfeng
  • Xia, Yu
  • Tran, Thuhang

Abstract

Make-to-order manufacturers face an idiosyncratic and complex situation in the sourcing selection process. Although they can source from several key suppliers, each order requires custom key parts that cannot be stocked. Our research provides a decision model to facilitate the sourcing process for these manufacturers using information about their sourcing partners' cost and processing time. The manufacturer can calculate the total cost and on-time probability for all possible combinations of certified suppliers and key part allotments to obtain a sourcing portfolio with several sourcing alternatives for a desired service level. The portfolio allows the manufacturer to make trade-offs between cost and reliability to finish the job on time. Additionally, the portfolio can be obtained for a given due date or for reduced due dates in a competitive bid situation. The portfolio approach allows the manufacturer to maintain control over the sourcing selection process by partnering with sourcing members to keep costs low without losing the needed flexibility to meet customer demands.

Suggested Citation

  • Yue, Jinfeng & Xia, Yu & Tran, Thuhang, 2010. "Selecting sourcing partners for a make-to-order supply chain," Omega, Elsevier, vol. 38(3-4), pages 136-144, June.
    • Handle: RePEc:eee:jomega:v:38:y:2010:i:3-4:p:136-144
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    References listed on IDEAS

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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. Sawik, Tadeusz, 2014. "Joint supplier selection and scheduling of customer orders under disruption risks: Single vs. dual sourcing," Omega, Elsevier, vol. 43(C), pages 83-95.
    3. Kshitija Taywade & Brent Harrison & Judy Goldsmith, 2022. "Using Non-Stationary Bandits for Learning in Repeated Cournot Games with Non-Stationary Demand," Papers 2201.00486, arXiv.org.
    4. Kaya, Onur, 2011. "Outsourcing vs. in-house production: a comparison of supply chain contracts with effort dependent demand," Omega, Elsevier, vol. 39(2), pages 168-178, April.
    5. Sawik, Tadeusz, 2011. "Selection of supply portfolio under disruption risks," Omega, Elsevier, vol. 39(2), pages 194-208, April.
    6. Qi, Lian & Shi, Jim (Junmin) & Xu, Xiaowei, 2015. "Supplier competition and its impact on firm׳s sourcing strategy," Omega, Elsevier, vol. 55(C), pages 91-110.
    7. Zeng, Amy Z. & Xia, Yu, 2015. "Building a mutually beneficial partnership to ensure backup supply," Omega, Elsevier, vol. 52(C), pages 77-91.
    8. Zhu, Xiaowei, 2016. "Managing the risks of outsourcing: Time, quality and correlated costs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 121-133.
    9. Heese, H. Sebastian, 2015. "Single versus multiple sourcing and the evolution of bargaining positions," Omega, Elsevier, vol. 54(C), pages 125-133.
    10. Tadeusz Sawik, 2018. "Selection of a dynamic supply portfolio under delay and disruption risks," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 760-782, January.
    11. Balachandran, Kashi R. & Wang, Hsiao-Wen & Li, Shu-Hsing & Wang, Taychang, 2013. "In-house capability and supply chain decisions," Omega, Elsevier, vol. 41(2), pages 473-484.
    12. Zhang, Jianxiong & Tang, Wansheng & Hu, Mingmao, 2015. "Optimal supplier switching with volume-dependent switching costs," International Journal of Production Economics, Elsevier, vol. 161(C), pages 96-104.
    13. Tunc, Huseyin & Kilic, Onur A. & Tarim, S. Armagan & Eksioglu, Burak, 2011. "The cost of using stationary inventory policies when demand is non-stationary," Omega, Elsevier, vol. 39(4), pages 410-415, August.
    14. Luminiţa Nicolescu & Cristina Galalae & Alexandru Voicu, 2013. "Solving a Supply Chain Management Problem to Near Optimality Using Ant Colony Optimization, in an International Context," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 15(33), pages 8-26, February.
    15. Li, Deng-Feng, 2011. "Linear programming approach to solve interval-valued matrix games," Omega, Elsevier, vol. 39(6), pages 655-666, December.

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