Abstract
Concerning the increasing emphasis on risk management in this uncertain global environment, there is an urgent demand for practical decision support tools that support supply chain risk communication and management. This research proposes an integrated framework that takes explicit account of multiple types of risk in aiding decision-making, and compares and ranks alternative risk mitigation strategies individually and collectively in indicator basis using fuzzy set theory and multiple criteria decision analysis methods. Through an illustrative case, the research demonstrates that the proposed framework provides a holistic view of supply chain risks and enables firms to foresee, spot and respond to the exposed risks in an effective and efficient manner.
Original language | English |
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Pages (from-to) | 1023-1036 |
Number of pages | 14 |
Journal | Production Planning and Control |
Volume | 28 |
Issue number | 13 |
DOIs | |
Publication status | Published - 3 Oct 2017 |
Bibliographical note
Publisher Copyright:© 2017 Informa UK Limited, trading as Taylor & Francis Group.
Keywords
- fuzzy risk assessment
- multiple criteria decision analysis
- risk mitigation
- strategy evaluation
- Supply chain risk management
ASJC Scopus subject areas
- Computer Science Applications
- Strategy and Management
- Management Science and Operations Research
- Industrial and Manufacturing Engineering