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Modular product platforming with supply chain postponement decisions by leader-follower interactive optimization

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  • Xiong, Yixuan
  • Du, Gang
  • Jiao, Roger J.

Abstract

Modular product platforming empowers product family design by identifying the common product platform and configuration of product variants for mass customization. The prevailing practice of fulfilling product families is to postpone certain customization modules in the downstream supply chain. Product platforming and postponement decisions are inherently coupled in terms of developing a modular product architecture to leverage product variety and the supply chain. This paper is motivated towards integrated decision making underlying modular product platforming (MPP) with supply chain postponement (SCP). The paper formulates integrated MPP and SCP decisions as a Stackelberg game that entails joint optimization for interactive evaluation of product modularity and supply chain fulfillment costs. A bilevel mixed 0–1 programming model is developed to characterize the leader-follower decision making process. Virtual compound modules are introduced to justifying which modules should be postponed. An upper level optimization problem is established for identification of basic modules and compound modules by maximizing customer-perceived utilities and postponement utilities of product families, whereas a lower level optimization problem deals with the selection of most appropriate postponement service providers for a minimal total supply chain cost. A nested genetic algorithm is developed to solve the bilevel joint optimization model. A case study of laser printer product platforming and supply chain postponement is reported to illustrate the feasibility and potential of the proposed decision model.

Suggested Citation

  • Xiong, Yixuan & Du, Gang & Jiao, Roger J., 2018. "Modular product platforming with supply chain postponement decisions by leader-follower interactive optimization," International Journal of Production Economics, Elsevier, vol. 205(C), pages 272-286.
    • Handle: RePEc:eee:proeco:v:205:y:2018:i:c:p:272-286
    DOI: 10.1016/j.ijpe.2018.09.013
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    as
    1. V. Krishnan & Saurabh Gupta, 2001. "Appropriateness and Impact of Platform-Based Product Development," Management Science, INFORMS, vol. 47(1), pages 52-68, January.
    2. Paul K. Humphreys, 2010. "Simultaneous configuration of platform products and manufacturing supply chains: comparative investigation into impacts of different supply chain coordination schemes," Post-Print hal-01789110, HAL.
    3. Winfried Steiner & Harald Hruschka, 2002. "A Probabilistic One-Step Approach to the Optimal Product Line Design Problem Using Conjoint and Cost Data," Review of Marketing Science Working Papers 1-4-1003, Berkeley Electronic Press.
    4. Lamothe, Jacques & Hadj-Hamou, Khaled & Aldanondo, Michel, 2006. "An optimization model for selecting a product family and designing its supply chain," European Journal of Operational Research, Elsevier, vol. 169(3), pages 1030-1047, March.
    5. Biao Yang & Kiran Jude Fernandes, 2010. "Global supply chain risk management: a socio-technical perspective," International Journal of Business Environment, Inderscience Enterprises Ltd, vol. 3(2), pages 240-249.
    6. Huang, Yun & Huang, George Q. & Newman, Stephen T., 2011. "Coordinating pricing and inventory decisions in a multi-level supply chain: A game-theoretic approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(2), pages 115-129, March.
    7. S Kumar & D A Nottestad & E E Murphy, 2009. "Effects of product postponement on the distribution network: a case study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(4), pages 471-480, April.
    8. Bish, Ebru K. & Suwandechochai, Rawee, 2010. "Optimal capacity for substitutable products under operational postponement," European Journal of Operational Research, Elsevier, vol. 207(2), pages 775-783, December.
    9. Ma, Shihua & Wang, Wei & Liu, Liming, 2002. "Commonality and postponement in multistage assembly systems," European Journal of Operational Research, Elsevier, vol. 142(3), pages 523-538, November.
    10. Jerome Bracken & James T. McGill, 1973. "Mathematical Programs with Optimization Problems in the Constraints," Operations Research, INFORMS, vol. 21(1), pages 37-44, February.
    11. Yang, Dong & Jiao, Jianxin (Roger) & Ji, Yangjian & Du, Gang & Helo, Petri & Valente, Anna, 2015. "Joint optimization for coordinated configuration of product families and supply chains by a leader-follower Stackelberg game," European Journal of Operational Research, Elsevier, vol. 246(1), pages 263-280.
    12. Li Li & Sridhar Tayur, 2005. "Medium-Term Pricing and Operations Planning in Intermodal Transportation," Transportation Science, INFORMS, vol. 39(1), pages 73-86, February.
    13. Ernst, Ricardo & Kamrad, Bardia, 2000. "Evaluation of supply chain structures through modularization and postponement," European Journal of Operational Research, Elsevier, vol. 124(3), pages 495-510, August.
    14. Brun, Alessandro & Zorzini, Marta, 2009. "Evaluation of product customization strategies through modularization and postponement," International Journal of Production Economics, Elsevier, vol. 120(1), pages 205-220, July.
    15. Wang, Danping & Du, Gang & Jiao, Roger J. & Wu, Ray & Yu, Jianping & Yang, Dong, 2016. "A Stackelberg game theoretic model for optimizing product family architecting with supply chain consideration," International Journal of Production Economics, Elsevier, vol. 172(C), pages 1-18.
    16. Daniel Granot & Shuya Yin, 2008. "Price and Order Postponement in a Decentralized Newsvendor Model with Multiplicative and Price-Dependent Demand," Operations Research, INFORMS, vol. 56(1), pages 121-139, February.
    17. Du, Gang & Jiao, Roger J. & Chen, Mo, 2014. "Joint optimization of product family configuration and scaling design by Stackelberg game," European Journal of Operational Research, Elsevier, vol. 232(2), pages 330-341.
    18. Nepal, Bimal & Monplaisir, Leslie & Famuyiwa, Oluwafemi, 2012. "Matching product architecture with supply chain design," European Journal of Operational Research, Elsevier, vol. 216(2), pages 312-325.
    19. Jan A. Van Mieghem & Maqbool Dada, 1999. "Price Versus Production Postponement: Capacity and Competition," Management Science, INFORMS, vol. 45(12), pages 1639-1649, December.
    20. Zhang, Xinyan & Huang, George Q., 2010. "Game-theoretic approach to simultaneous configuration of platform products and supply chains with one manufacturing firm and multiple cooperative suppliers," International Journal of Production Economics, Elsevier, vol. 124(1), pages 121-136, March.
    21. Maud Van den Broeke & Robert Boute & Behzad Samii, 2015. "Evaluation of product-platform decisions based on total supply chain costs," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5545-5563, September.
    22. Hau L. Lee & Christopher S. Tang, 1997. "Modelling the Costs and Benefits of Delayed Product Differentiation," Management Science, INFORMS, vol. 43(1), pages 40-53, January.
    23. Baud-Lavigne, Bertrand & Agard, Bruno & Penz, Bernard, 2012. "Mutual impacts of product standardization and supply chain design," International Journal of Production Economics, Elsevier, vol. 135(1), pages 50-60.
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    Cited by:

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    4. Qiu-Ping Bi & Yu-Cheng Li & Rong Li & Cheng Shen & Huan-Zhi Lou & Yuan-Yuan Zhang, 2022. "Modularized Design of ACDCD: An Improved Spectral Clustering-Based Approach," Sustainability, MDPI, vol. 14(3), pages 1-17, January.
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    6. Gauss, Leandro & Lacerda, Daniel P. & Cauchick Miguel, Paulo A., 2022. "Market-Driven Modularity: Design method developed under a Design Science paradigm," International Journal of Production Economics, Elsevier, vol. 246(C).
    7. Chen, Wenchong & Gong, Xuejian & Rahman, Humyun Fuad & Liu, Hongwei & Qi, Ershi, 2021. "Real-time order acceptance and scheduling for data-enabled permutation flow shops: Bilevel interactive optimization with nonlinear integer programming," Omega, Elsevier, vol. 105(C).

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