Abstract
This paper presents the game of production technical standards between downstream and upstream suppliers on a manufacturing supply chain network when the two parties have different partnership densities, namely, the numbers of replaceable and mature manufacturing partners. We firstly constructed a manufacturing chain network and analyzed its three relationship structures among suppliers with the presence of different relationship densities, and found that all the three relationships brought about the game of production technical standards between partnership- rich and partnership-scanty suppliers. Then we built a two-party payoff matrix, and analyzed the two-party game and evolutionary stable strategy, based on replication dynamic equation and asymmetric evolutionary game theory. The evolutionary stable strategies of two parties under varying payoff parameters were validated through numerical simulation. Finally, we proposed some suggestions for both those manufacturers with more partners and fewer partners, respectively.
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Chang C W, Chiang D M, Pai F Y. Cooperative strategy in supply chain networks[J]. Industrial Marketing Management, 2012, 41(7): 1114–1124.
Chen I J, Paulraj A. Towards a theory of supply chain management: The constructs and measurements[J]. Journal of Operations Management, 2004, 22(2): 119–150.
Jiao J, You X, Kumar A. An agent-based framework for collaborative negotiation in the global manufacturing supply chain network[J]. Robotics and Computer-Integrated Manufacturing, 2006, 22(3): 239–255.
Johanson J, Mattsson L G. Interorganizational relations in industrial systems: A network approach compared with the transaction-cost approach[J]. International Studies of Management & Organization, 1987, 17(1): 34–48.
Lin H, Darnall N. Strategic alliance formation and structural configuration[J]. Journal of Business Ethics, 2015, 127(3): 549–564.
Kothandaraman P, Wilson D T. The future of competition: value-creating networks[J]. Industrial Marketing Management, 2001, 30(4): 379–389.
Inman R R, Blumenfeld D E. Product complexity and supply chain design[J]. International Journal of Production Research, 2014, 52(7):1956–1969.
Arshinder Kanda A, Deshmukh S G. Supply chain coordination: Perspectives, empirical studies and research directions [J]. International Journal of Production Economics, 2008, 115(2): 316–335.
Petersen K J, Handfield R B, Ragatz G L. Supplier integration into new product development: Coordinating product, process and supply chain design[J]. Journal of Operations Management, 2005, 23(3-4): 371–388.
Mcivor R, Humphreys P. Early supplier involvement in the design process: Lessons from the electronics industry[J]. Omega, 2004, 32(3): 179–199.
Qian Y, Chen J, Miao L, et al. Information sharing in a competitive supply chain with capacity constraint[J]. Flexible Services & Manufacturing Journal, 2012, 24(4): 549–574.
Hendricks K B, Singhal V R. The effect of supply chain glitches on shareholder wealth [J]. Journal of Operations Management, 2003, 21(5): 501–522.
Adner R, Kapoor R. Value creation in innovation ecosystems: how the structure of technological interdependence affects firm performance in new technology generations [J]. Strategic Management Journal, 2010, 31(3):306–333.
Ganesh M, Raghunathan S, Rajendran C. The value of information sharing in a multi-product, multi-level supply chain: Impact of product substitution, demand correlation, and partial information sharing [J]. Decision Support Systems, 2014, 58: 79–94.
Sun D, He W, Zheng L, et al. Scheduling flexible job shop problem subject to machine breakdown with game theory[J]. International Journal of Production Research, 2014, 52(13):3858–3876.
Cachon G P, Zipkin P H. Competitive and cooperative inventory policies in a two-stage supply chain [J]. Management Science, 1999, 45(7): 936–953.
Arshinder Kanda A, Deshmukh S G. Supply chain coordination: Perspectives, empirical studies and research directions [J]. International Journal of Production Economics, 2008, 115(2): 316–335.
Nair A, Jayaram J, Das A. Strategic purchasing participation, supplier selection, supplier evaluation and purchasing performance [J]. International Journal of Production Research, 2015, 53(20): 6263–6278.
Zsidisin G A, Smith M E. Managing supply risk with early supplier involvement: A case study and research propositions [J]. Journal of Supply Chain Management, 2005, 41(4): 44–57.
Vonderembse M A, Tracey M. The impact of supplier selection criteria and supplier involvement on manufacturing performance [J]. Journal of Supply Chain Management, 1999, 35(2): 33–39.
Cachon G P, Lariviere M A. Capacity choice and allocation: Strategic behavior and supply chain performance[J]. Management Science, 1999, 45(8): 1091–1108.
Powell W W. Interorganizationalcollaboration and the locus of innovation: Networks of learning in biotechnology [J]. Administrative Science Quarterly, 1996, 41(1): 116–145.
Mailath G J. Do people play Nash equilibrium? Lessons from evolutionary game theory [J]. Journal of Economic Literature, 1998, 36(3): 1347–1374.
Roca C P, Cuesta J A, Sánchez A. Evolutionary game theory: Temporal and spatial effects beyond replicator dynamics [J]. Physics of Life Reviews, 2009, 6(4): 208–249.
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Foundation item: Supported by the Science and Technology Development Strategy Research Project of Tianjin (13ZLZLZF08900)
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Zhang, H., Li, Z. Strategy selection of production technical standards in a manufacturing supply chain network: the role of partnership density. Wuhan Univ. J. Nat. Sci. 22, 517–522 (2017). https://doi.org/10.1007/s11859-017-1282-x
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DOI: https://doi.org/10.1007/s11859-017-1282-x