Enhancing supply chain resilience using ontology-based decision support system

Today's scenario of manufacturing and supply chain is full of uncertainty because of numerous types of disruptions and failures such as fire, storm, machine failure, are a few names. Always supply chain disruptions present disastrous impacts, although probabilities of happening are low. In the...

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Bibliographic Details

Published in:	International journal of computer integrated manufacturing Vol. 32; no. 7; pp. 642 - 657
Main Authors:	Singh, Sube, Ghosh, Soumava, Jayaram, Jayanth, Tiwari, Manoj Kumar
Format:	Journal Article
Language:	English
Published:	Taylor & Francis 03.07.2019
Subjects:	hybrid particle swarm optimisation mixed integer linear programming model ontology semantic web rule language Supply chain resilience
ISSN:	0951-192X, 1362-3052
Online Access:	Get full text
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