Decision Support Systems and Artificial Intelligence in Supply Chain Risk Management

George Baryannis, Samir Dani, Sahar Validi, Grigoris Antoniou

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

30 Citations (Scopus)

Abstract

This chapter considers the importance of decision support systems for supply chain risk management (SCRM). The first part provides an overview of the different operations research techniques and methodologies for decision making for managing risks, focusing on multiple-criteria decision analysis methods and mathematical programming. The second part is devoted to artificial intelligence (AI) techniques which have been applied in the SCRM domain to analyse data and make decisions regarding possible risks. These include Petri nets, multi-agent systems, automated reasoning and machine learning. The chapter concludes with a discussion of potential ways in which future decision support systems for SCRM can benefit from recent advances in AI research.
Original languageEnglish
Title of host publicationRevisiting Supply Chain Risk
EditorsGeorge A. Zsidisin, Michael Henke
PublisherSpringer, Cham
Pages53-71
Number of pages19
VolumeSSSCM, volume 7
Edition1st
ISBN (Electronic)9783030038137
ISBN (Print)9783030038120
DOIs
Publication statusPublished - 1 Jan 2019

Publication series

NameSpringer Series in Supply Chain Management
PublisherSpringer, Cham
Volume7
ISSN (Print)2365-6395
ISSN (Electronic)2365-6409

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