Non-linear behavior of supply chains under chaos environment with disruptions: Based on coupled map lattices

被引:3
作者
Liu X. [1 ]
Wen K. [1 ]
Xu Y. [2 ,3 ]
Yu G. [4 ]
机构
[1] School of Management Engineering, Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou, Henan
[2] Business School, Sias International University, Xinzheng, Henan
[3] School of Electronic Commerce, Ningbo Dahongying University, Ningbo, Zhejiang
[4] Department of Industrial and Systems Engineering, National University of Singapore, Singapore
关键词
Coupled map lattices; Networks; Non-linear behavior; Resilience; Supply chains systems;
D O I
10.3233/IDT-1700303
中图分类号
学科分类号
摘要
Increasingly, scholars have been recognizing the importance of designing resilient supply chains (SCRES) within infrastructure networks. However, the existing literature discussed little on the non-linear behavior of the supply chain systems under chaos environment with disruptions. To fill the gaps, this paper aims to propose a more general formulation based on the coupled map lattices model for SCRES. The proposed model considers a multi-coupling and multi-level supply chain network. We use partial differential equations to form the coupled map lattices (CML) to model the behavior of non-linear network systems from perspectives of space and time dimension under different disruptions. Based on the simulation of two proposed indicators (Invulnerability and Restoration ability), we deduce four principles supporting to design SCRES; Finally, to further verify the feasibility of principles, we conduct a practical analysis as the comparison between our achievement and previous researches. © 2017 - IOS Press and the authors.
引用
收藏
页码:399 / 414
页数:15
相关论文
共 71 条
[1]  
Gong J., Mitchell J.E., Krishnamurthy A., Wallace W.A., An interdependent layered network model for a resilient supply chain, Omega-International Journal of Management Science, 46, pp. 104-116, (2014)
[2]  
Akcali E., Cetinkaya S., Uster H., Network design for reverse and closed-loop supply chains: An annotated bibliography of models and solution approaches, Networks, 53, pp. 231-248, (2009)
[3]  
Choi T.M., Li Y.J., Xu L., Channel leadership, performance and coordination in closed loop supply chains, International Journal of Production Economics, 146, pp. 371-380, (2013)
[4]  
Pan F., Nagi R., Multi-echelon supply chain network design in agile manufacturing, Omega-International Journal of Management Science, 41, pp. 969-983, (2013)
[5]  
Kim Y., Chen Y.S., Linderman K., Supply network disruption and resilience: A network structural perspective, Journal of Operations Management, 33-34, pp. 43-59, (2015)
[6]  
Rice J., Caniato F., Building a secure and resilient supply network, Supply Chain Management Review, 7, pp. 22-30, (2003)
[7]  
Christopher M., Peck H., Building the resilient supply chain, The International Journal of Logistics Management, 15, pp. 1-14, (2004)
[8]  
Bhamra R., Dani S., Burnard K., Resilience: The concept, a literature review and future directions, International Journal of Production Research, 49, pp. 5375-5393, (2011)
[9]  
Karacapilidis N., Adamides E., Computer-supported collaborative supply chain modeling and simulation: A knowledgecentric approach, International Journal of Simulation and Process Modeling, 4, pp. 246-258, (2007)
[10]  
Goutsos S., Karacapilidis N., Enhanced supply chain management for e-business transactions, International Journal of Production Economics, 89, pp. 141-152, (2004)