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Development of a knowledge-based intelligent decision support system for operational risk management of global supply chains

Author

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  • Yang-Byung Park
  • Sung-Joon Yoon
  • Jun-Su Yoo

Abstract

This paper proposes a knowledge-based intelligent decision support system for operational risk management of global supply chains (DSSRMG), a full-phase system not yet treated in the literature. DSSRMG predicts the supply chain performance using the enhanced artificial neural network combined with particle swarm optimisation, infers the core risk source using a method based on principle component analysis, and evaluates risk mitigation alternatives using the digraph-matrix approach combined with principle component analysis. A methodology using an adaptive-network-based fuzzy inference system is suggested to construct the knowledge base for mitigation alternatives. An industrial example is used to illustrate the performance of DSSRMG. Computational experiments show that the techniques used for DSSRMG are excellent. Especially, the algorithm for selecting the useful operation indicators improves the performance prediction accuracy by 7.1% on average. DSSRMG provides supply chain managers with a practical tool to accurately predict and effectively control the operational risk. [Received: 9 March 2017; Revised: 22 July 2017; Accepted: 2 October 2017]

Suggested Citation

  • Yang-Byung Park & Sung-Joon Yoon & Jun-Su Yoo, 2018. "Development of a knowledge-based intelligent decision support system for operational risk management of global supply chains," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 12(1), pages 93-115.
    • Handle: RePEc:ids:eujine:v:12:y:2018:i:1:p:93-115
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    Cited by:

    1. Mingjuan Bi & Fushan Zheng & Fengxiang Wang & Tiantian Chen & Yingying Cui, 2022. "Application of Microbial Degradation Technology in Oil Pollution Control," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 15(5), pages 1-16, June.
    2. Fawad Ahmed & Yuan Jian Qin & Luis Martínez, 2019. "Sustainable Change Management through Employee Readiness: Decision Support System Adoption in Technology-Intensive British E-Businesses," Sustainability, MDPI, vol. 11(11), pages 1-28, May.
    3. Yuan Ni & Jia Wang & Cui Li, 2022. "The Power of Sustainability in the “Black Swan” Event: Entrepreneurial Cognition of Top Management Team and Dual Business Model Innovation," Sustainability, MDPI, vol. 14(6), pages 1-22, March.

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