4 Citations (Scopus)

Abstract

This work presents an application of the Supply Chain Disturbance Management Fuzzy Decision Support System designed to support decision-making processes aimed at improving the performance/resilience of Supply Chains. The Fuzzy Decision Support System analyses the effects of Supply Chain disturbances and the effects of implementing mitigation (proactive) and/or contingency (reactive) plans set to counter such disturbances, reducing their negative impacts. This paper illustrates the application of the Fuzzy Decision Support System in real life support of Supply Chain management using an academic case study where four scenarios related with an automotive Supply Chain are presented. The analysis of the Performance Index of each Supply Chain entity and the analysis of the Supply Chain Performance Index allow the selection of the operational policy whose implementation ensures best Supply Chain resilience.
Original languageEnglish
Title of host publicationEWG-DSS
EditorsJorge E. Hernández, Pascale Zaraté, Fátima Dargam, Boris Delibasic, Shaofeng Liu , Rita Ribeiro
Pages42-58
Number of pages16
Volume121
DOIs
Publication statusPublished - 2012
EventEWG-DSS London-2011 WORKSHOP on Decision Systems -
Duration: 1 Jan 2011 → …

Publication series

NameLecture Notes in Business Information Processing
PublisherSpringer Berlin Heidelberg

Conference

ConferenceEWG-DSS London-2011 WORKSHOP on Decision Systems
Period1/01/11 → …

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Keywords

  • Supply chains
  • chain risks
  • Risks
  • Fuzzy Decision Support System
  • Supply Chain Disturbances Management
  • Contingency plan
  • Performance Index
  • Mitigation plan
  • Systems analysis

Cite this

Nunes, I. L., Figueira, S., & Machado, V. A. C. (2012). Combining FDSS and simulation to improve Supply Chain resilience. In J. E. Hernández, P. Zaraté, F. Dargam, B. Delibasic, S. Liu , & R. Ribeiro (Eds.), EWG-DSS (Vol. 121, pp. 42-58). (Lecture Notes in Business Information Processing). https://doi.org/10.1007/978-3-642-32191-7_4