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Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Volume 1 pp 357–371Cite as

Supply Chain Risk Mitigation and the Application Potential of Complex Systems Approaches

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Part of the book series: Proceedings in Adaptation, Learning and Optimization ((PALO,volume 1))

Abstract

Supply chains are becoming more complex and vulnerable. How to mitigate supply chain risks (SCRs) becomes a critical issue in supply chain management (SCM). This paper reviews the researches on SCR mitigation and identifies the current status and limitations. A new framework on SCR mitigation is proposed which intends to draw a clear roadmap for identifying, prioritizing and mapping SCRs to mitigation policies, evaluating and implementing related mitigation policies. Considering the complexities of SCR issues, the paper also elaborates the application potential of complex systems (CS) approaches for SCR mitigation.

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Authors and Affiliations

  1. Singapore Institute of Manufacturing Technology, 71 Nanyang Drive, Singapore, 638075, Singapore

    Zhengping Li & Rajpreet Kaur Gulati

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  1. Zhengping Li
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  2. Rajpreet Kaur Gulati
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Correspondence to Zhengping Li .

Editor information

Editors and Affiliations

  1. Department of Infomatics, Kindai University, Faculty of Science and Technology, Higashi-Osaka, Japan

    Hisashi Handa

  2. Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Osaka, Japan

    Hisao Ishibuchi

  3. School of Computer Engineering, Nanyang Technological University, Singapore, Singapore

    Yew-Soon Ong

  4. Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore

    Kay Chen Tan

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Li, Z., Gulati, R.K. (2015). Supply Chain Risk Mitigation and the Application Potential of Complex Systems Approaches. In: Handa, H., Ishibuchi, H., Ong, YS., Tan, K. (eds) Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Volume 1. Proceedings in Adaptation, Learning and Optimization, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-319-13359-1_28

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  • DOI: https://doi.org/10.1007/978-3-319-13359-1_28

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13358-4

  • Online ISBN: 978-3-319-13359-1

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