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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Vydané v:	International journal of computer integrated manufacturing Ročník 32; číslo 7; s. 642 - 657
Hlavní autori:	Singh, Sube, Ghosh, Soumava, Jayaram, Jayanth, Tiwari, Manoj Kumar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Taylor & Francis 03.07.2019
Predmet:	hybrid particle swarm optimisation mixed integer linear programming model ontology semantic web rule language Supply chain resilience
ISSN:	0951-192X, 1362-3052
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