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Modeling and analysis of build-to-order supply chains

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  • Gunasekaran, Angappa
  • Ngai, Eric W.T.

Abstract

The build-to-order supply chain (BTO-SC) or make-to-order (MTO) system has received a great deal of attention in recent years because of the success of high-tech companies such as Dell, BMW, Compaq, and Gateway. Some auto companies have also implemented BTO-SC. Quite a few research articles have been written on BTO-SC and MTO. However, those that explicitly address the problems of BTO-SCM with modeling are rather limited in number. Considering the growing importance of more informed and timely decision making in these areas, there is a need to encourage further research on the modeling and analysis of global outsourcing, optimization between product variants and the cost of production, the point of differentiation along the production/assembly process, the selection of suppliers, logistics costs, and customer relationship management. Traditional operations research models have been used to solve supply chain management problems. Considering the importance of BTO or MTO, an attempt has been made to review the selected literature on the modeling and analysis of BTO-SC with the objectives of providing assistance to and motivating both researchers and practitioners to design, develop, and manage BTO-SC effectively; and suggesting some future research directions on BTO supply chain management (BTO-SCM). The literature available on BTO-SCM has been classified based on the nature of the decision-making areas and then sub-classified to focus on solving problems with modeling and analysis. We have focused mostly on the modeling aspect of the BTO-SC, but have not extended our efforts to empirical research. We have developed a unified framework for modeling and analyzing BTO-SCM and suggest some future research directions.

Suggested Citation

  • Gunasekaran, Angappa & Ngai, Eric W.T., 2009. "Modeling and analysis of build-to-order supply chains," European Journal of Operational Research, Elsevier, vol. 195(2), pages 319-334, June.
  • Handle: RePEc:eee:ejores:v:195:y:2009:i:2:p:319-334
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    2. Carole Camisullis & Vincent Giard & Gisele Mendy-Bilek, 2010. "The information to share in upstream supply chains dedicated to mass production of customized products for allowing a decentralized management," Working Papers hal-00876993, HAL.
    3. Enrico Teich & Thorsten Claus, 2017. "Measurement of Load and Capacity Flexibility in Manufacturing," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(4), pages 291-302, December.
    4. Ivanov, Dmitry & Sokolov, Boris & Kaeschel, Joachim, 2010. "A multi-structural framework for adaptive supply chain planning and operations control with structure dynamics considerations," European Journal of Operational Research, Elsevier, vol. 200(2), pages 409-420, January.
    5. Xiaoqin Wen & Chenhanzhi Wang, 2022. "Optimal-Quality Choice and Committed Delivery Time in Build-To-Order Supply Chain," Sustainability, MDPI, vol. 14(18), pages 1-20, September.
    6. Afshin Mansouri, S. & Gallear, David & Askariazad, Mohammad H., 2012. "Decision support for build-to-order supply chain management through multiobjective optimization," International Journal of Production Economics, Elsevier, vol. 135(1), pages 24-36.
    7. Carole Camisullis & Vincent Giard & Gisele Mendy-Bilek, 2011. "Information to share in supply chains dedicated to the mass production of customized products for decentralized management," Working Papers hal-00876865, HAL.
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    9. Lin, Cheng-Chang & Wang, Tsai-Hsin, 2011. "Build-to-order supply chain network design under supply and demand uncertainties," Transportation Research Part B: Methodological, Elsevier, vol. 45(8), pages 1162-1176, September.
    10. Wang, X.J. & Choi, S.H., 2015. "Stochastic lot sizing manufacturing under the ETS system for maximisation of shareholder wealth," European Journal of Operational Research, Elsevier, vol. 246(1), pages 66-75.
    11. Romero-Silva, Rodrigo & de Leeuw, Sander, 2021. "Learning from the past to shape the future: A comprehensive text mining analysis of OR/MS reviews," Omega, Elsevier, vol. 100(C).
    12. Bhamra, Ran & Hicks, Christian & Small, Adrian & García-Villarreal, Enrique, 2022. "Value, product delivery strategies and operational performance in the medical technology industry," International Journal of Production Economics, Elsevier, vol. 245(C).
    13. 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.
    14. Xie, Gang & Yue, Wuyi & Wang, Shouyang & Lai, Kin Keung, 2011. "Quality investment and price decision in a risk-averse supply chain," European Journal of Operational Research, Elsevier, vol. 214(2), pages 403-410, October.
    15. Moon, Karen Ka-Leung & Yi, Candace Ying & Ngai, E.W.T., 2012. "An instrument for measuring supply chain flexibility for the textile and clothing companies," European Journal of Operational Research, Elsevier, vol. 222(2), pages 191-203.
    16. Song, Zhe & Kusiak, Andrew, 2010. "Mining Pareto-optimal modules for delayed product differentiation," European Journal of Operational Research, Elsevier, vol. 201(1), pages 123-128, February.
    17. Mihiotis A., 2014. "Management of Supply Chain: X-to-order Concepts vs Make-to-stock Model," International Journal of Business Administration, International Journal of Business Administration, Sciedu Press, vol. 5(3), pages 30-33, May.
    18. Gunasekaran, Angappa & Ngai, Eric W.T., 2012. "The future of operations management: An outlook and analysis," International Journal of Production Economics, Elsevier, vol. 135(2), pages 687-701.
    19. X.J. Wang & S.H. Choi, 2016. "Impacts of carbon emission reduction mechanisms on uncertain make-to-order manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 54(11), pages 3311-3328, June.
    20. De Giovanni, Pietro & Cariola, Alfio & Passarelli, Mariacarmela, 2013. "Recent developments on Reactivity: Theoretical conceptualization and empirical verification," European Journal of Operational Research, Elsevier, vol. 231(3), pages 690-701.

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