IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v172y2016icp1-18.html
   My bibliography  Save this article

A Stackelberg game theoretic model for optimizing product family architecting with supply chain consideration

Author

Listed:
  • Wang, Danping
  • Du, Gang
  • Jiao, Roger J.
  • Wu, Ray
  • Yu, Jianping
  • Yang, Dong

Abstract

Planning of an optimal product family architecture (PFA) plays a critical role in defining an organization׳s product platforms for product variant configuration while leveraging commonality and variety. The focus of PFA planning has been traditionally limited to the product design stage, yet with limited consideration of the downstream supply chain-related issues. Decisions of supply chain configuration have a profound impact on not only the end cost of product family fulfillment, but also how to design the architecture of module configuration within a product family. It is imperative for product family architecting to be optimized in conjunction with supply chain configuration decisions. This paper formulates joint optimization of PFA planning and supply chain configuration as a Stackelberg game. A nonlinear, mixed integer bilevel programming model is developed to deal with the leader–follower game decisions between product family architecting and supply chain configuration. The PFA decision making is represented as an upper-level optimization problem for optimal selection of the base modules and compound modules. A lower-level optimization problem copes with supply chain decisions in accordance with the upper-level decisions of product variant configuration. Consistent with the bilevel optimization model, a nested genetic algorithm is developed to derive near optimal solutions for PFA and the corresponding supply chain network. A case study of joint PFA and supply chain decisions for power transformers is reported to demonstrate the feasibility and potential of the proposed Stackelberg game theoretic joint optimization of PFA and supply chain decisions.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:proeco:v:172:y:2016:i:c:p:1-18
    DOI: 10.1016/j.ijpe.2015.11.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527315004181
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2015.11.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Cheng, Liang-Chieh (Victor), 2011. "Assessing performance of utilizing organizational modularity to manage supply chains: Evidence in the US manufacturing sector," International Journal of Production Economics, Elsevier, vol. 131(2), pages 736-746, June.
    4. Ulrich, Karl, 1995. "The role of product architecture in the manufacturing firm," Research Policy, Elsevier, vol. 24(3), pages 419-440, May.
    5. Masatoshi Sakawa & Ichiro Nishizaki, 2012. "Interactive fuzzy programming for multi-level programming problems: a review," International Journal of Multicriteria Decision Making, Inderscience Enterprises Ltd, vol. 2(3), pages 241-266.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Gang Du & Yi Xia & Roger J. Jiao & Xiaojie Liu, 2019. "Leader-follower joint optimization problems in product family design," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1387-1405, March.
    3. Biswajit Sarkar & Sharmila Saren & Mitali Sarkar & Yong Won Seo, 2016. "A Stackelberg Game Approach in an Integrated Inventory Model with Carbon-Emission and Setup Cost Reduction," Sustainability, MDPI, vol. 8(12), pages 1-23, December.
    4. Jha, Aditya & Fernandes, Kiran & Xiong, Yu & Nie, Jiajia & Agarwal, Neelesh & Tiwari, Manoj K., 2017. "Effects of demand forecast and resource sharing on collaborative new product development in supply chain," International Journal of Production Economics, Elsevier, vol. 193(C), pages 207-221.
    5. Soroush Safarzadeh, 2023. "A game theoretic approach for pricing and advertising of an integrated product family in a duopoly," Journal of Combinatorial Optimization, Springer, vol. 45(5), pages 1-26, July.
    6. Shih-Pin Chen, 2017. "Effects of fuzzy data on decision making in a competitive supply chain," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(10), pages 1146-1160, October.
    7. Wang, Jian & He, Shulin, 2022. "Optimal decisions of modularity, prices and return policy in a dual-channel supply chain under mass customization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    8. Qin, Yichen & Ng, Kam K.H., 2023. "Analysing the impact of collaborations between airlines and maintenance service company under MRO outsourcing mode: Perspective from airline's operations," Journal of Air Transport Management, Elsevier, vol. 109(C).
    9. Eltoukhy, Abdelrahman E.E. & Wang, Z.X. & Chan, Felix T.S. & Fu, X., 2019. "Data analytics in managing aircraft routing and maintenance staffing with price competition by a Stackelberg-Nash game model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 143-168.
    10. Qiu, Xuan & Huang, George Q., 2016. "Transportation service sharing and replenishment/delivery scheduling in Supply Hub in Industrial Park (SHIP)," International Journal of Production Economics, Elsevier, vol. 175(C), pages 109-120.
    11. Kailash Lachhwani, 2021. "Solving the general fully neutrosophic multi-level multiobjective linear programming problems," OPSEARCH, Springer;Operational Research Society of India, vol. 58(4), pages 1192-1216, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. Li, Xiaohong & Yang, Dong & Hu, Mengqi, 2018. "A scenario-based stochastic programming approach for the product configuration problem under uncertainties and carbon emission regulations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 126-146.
    5. Arman Avadikyan & Gilles Lambert & Christophe Lerch, 2016. "A Multi-Level Perspective on Ambidexterity: The Case of a Synchrotron Research Facility," Working Papers of BETA 2016-44, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    6. Nuno Gil & Marcela Miozzo, 2007. "Innovation in Private Infrastructure Development Effects of the Selection Environment and Modularity," DRUID Working Papers 07-23, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    7. Manuel E. Sosa & Steven D. Eppinger & Craig M. Rowles, 2004. "The Misalignment of Product Architecture and Organizational Structure in Complex Product Development," Management Science, INFORMS, vol. 50(12), pages 1674-1689, December.
    8. Sharon Novak & Scott Stern, 2009. "Complementarity Among Vertical Integration Decisions: Evidence from Automobile Product Development," Management Science, INFORMS, vol. 55(2), pages 311-332, February.
    9. Cecere, Grazia & Corrocher, Nicoletta & Battaglia, Riccardo David, 2015. "Innovation and competition in the smartphone industry: Is there a dominant design?," Telecommunications Policy, Elsevier, vol. 39(3), pages 162-175.
    10. Tian Heong Chan & Shi-Ying Lim, 2023. "The Emergence of Novel Product Uses: An Investigation of Exaptations in IKEA Hacks," Management Science, INFORMS, vol. 69(5), pages 2870-2892, May.
    11. Tsuru, Tsuyoshi & Nakajima, Kentaro, 2012. "Product Architecture and Human Resource Management: Comparing Japanese, Chinese, and Korean Firms Based on a Questionnaire Survey," Discussion Paper Series 563, Institute of Economic Research, Hitotsubashi University.
    12. Giovanna Devetag & Enrico Zaninotto, 2001. "The imperfect hiding: Some introductory concepts and preliminary issues on modularity," ROCK Working Papers 010, Department of Computer and Management Sciences, University of Trento, Italy, revised 13 Jun 2008.
    13. Battke, Benedikt & Schmidt, Tobias S. & Stollenwerk, Stephan & Hoffmann, Volker H., 2016. "Internal or external spillovers—Which kind of knowledge is more likely to flow within or across technologies," Research Policy, Elsevier, vol. 45(1), pages 27-41.
    14. Arman Avadikyan & Patrick Llerena, 2009. "Socio-technical transition processes: A real option based reasoning," Working Papers of BETA 2009-21, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    15. Richter, Alexander, 2010. "Industrielle Produkt-Service-Systeme: Eine vertragstheoretische Analyse," Arbeitsberichte des Lehrstuhls für Produktionswirtschaft 9, Ruhr-Universität Bochum (RUB), Lehrstuhl für Produktionswirtschaft.
    16. Pero, Margherita & Stößlein, Martin & Cigolini, Roberto, 2015. "Linking product modularity to supply chain integration in the construction and shipbuilding industries," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 602-615.
    17. Stefano Brusoni & Paola Criscuolo & Aldo Geuna, 2005. "The knowledge bases of the world's largest pharmaceutical groups: what do patent citations to non-patent literature reveal?," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(5), pages 395-415.
    18. Johnson, Michael D. & Kirchain, Randolph E., 2009. "Quantifying the effects of product family decisions on material selection: A process-based costing approach," International Journal of Production Economics, Elsevier, vol. 120(2), pages 653-668, August.
    19. Wallace J. Hopp & Xiaowei Xu, 2005. "Product Line Selection and Pricing with Modularity in Design," Manufacturing & Service Operations Management, INFORMS, vol. 7(3), pages 172-187, August.
    20. Sheth, Ananya & Sinfield, Joseph V., 2022. "An analytical framework to compare innovation strategies and identify simple rules," Technovation, Elsevier, vol. 115(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:172:y:2016:i:c:p:1-18. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.