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The evolutionary complexity of complex adaptive supply networks: A simulation and case study

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  • Li, Gang
  • Yang, Hongjiao
  • Sun, Linyan
  • Ji, Ping
  • Feng, Lei

Abstract

A supply chain should be treated not just as a supply chain but also as a complex adaptive supply network (CASN). However, the literature on supply chain management has given little attention to the evolutionary complexity of the network structure and collaboration mechanism of CASNs. In this paper, we first model and simulate the evolution of CASNs based on complex adaptive system and fitness landscape theory. The simulation results indicate the evolutionary complexities such as emergence, quasi-equilibrium, chaos, and lock-in of CASNs. Then, a case study of the evolution of the LVEA (low voltage equipment apparatus) supply network in the emerging Chinese market has been explored to validate the findings from the simulation and develop a better understanding of the general principles influencing the emergence, adaptation and evolution of CASNs in the real world. Based on the simulation and the case study, we propose some propositions about the factors and principles influencing the evolutionary complexity of CASNs. The external environment factors and firm-internal mechanisms appear to be the dominant forces that shape the gradual evolution of CASNs. Factors in the external environment, such as government regulation, market demand and market structure appear to have a long-term impact on the evolution, while a firm's strategies, product structure, technology, and organization appear to be the internal factors that exert an immediate influence on the evolution of CASNs. Among these factors, cost and quality considerations appear to be the primary forces that influence the structure complexity, centralization and formalization of CASNs.

Suggested Citation

  • Li, Gang & Yang, Hongjiao & Sun, Linyan & Ji, Ping & Feng, Lei, 2010. "The evolutionary complexity of complex adaptive supply networks: A simulation and case study," International Journal of Production Economics, Elsevier, vol. 124(2), pages 310-330, April.
    • Handle: RePEc:eee:proeco:v:124:y:2010:i:2:p:310-330
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    6. Izunildo Cabral & Antonio Grilo, 2018. "Impact of Business Interoperability on the Performance of Complex Cooperative Supply Chain Networks: A Case Study," Complexity, Hindawi, vol. 2018, pages 1-30, February.
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    8. Roberto Dominguez & Salvatore Cannella, 2020. "Insights on Multi-Agent Systems Applications for Supply Chain Management," Sustainability, MDPI, vol. 12(5), pages 1-13, March.
    9. Goknur Arzu Akyuz & Guner Gursoy, 2020. "Strategic management perspectives on supply chain," Management Review Quarterly, Springer, vol. 70(2), pages 213-241, May.
    10. Cecile Gerwel Proches & Shamim Bodhanya, 2015. "Exploring stakeholder interactions through the lens of complexity theory: lessons from the sugar industry," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2507-2525, November.
    11. Sarah Schiffling & Claire Hannibal & Matthew Tickle & Yiyi Fan, 2022. "The implications of complexity for humanitarian logistics: a complex adaptive systems perspective," Annals of Operations Research, Springer, vol. 319(1), pages 1379-1410, December.
    12. Fan, Huan & Li, Gang & Sun, Hongyi & Cheng, T.C.E., 2017. "An information processing perspective on supply chain risk management: Antecedents, mechanism, and consequences," International Journal of Production Economics, Elsevier, vol. 185(C), pages 63-75.
    13. Marcus A. Bellamy & Rahul C. Basole, 2013. "Network analysis of supply chain systems: A systematic review and future research," Systems Engineering, John Wiley & Sons, vol. 16(2), pages 235-249, June.
    14. Efthymios Katsoras & Patroklos Georgiadis, 2022. "A Dynamic Analysis for Mitigating Disaster Effects in Closed Loop Supply Chains," Sustainability, MDPI, vol. 14(9), pages 1-20, April.
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