Development of a reliable and flexible supply chain network design model: a genetic algorithm based approach

Enhancing the proactive strategic capabilities to withstand the most unfavourable circumstances is always appreciated as a long-term policy rather than incident-based responses. The present research is positioned on this fundamental notion of supply chain risk management with a particular focus on s...

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Bibliographic Details

Published in:	International journal of production research Vol. 59; no. 20; pp. 6185 - 6209
Main Authors:	Vishnu, C. R., Das, Sangeeth P., Sridharan, R., Ram Kumar, P. N., Narahari, N. S.
Format:	Journal Article
Language:	English
Published:	London Taylor & Francis 18.10.2021 Taylor & Francis LLC
Subjects:	Case studies Flexibility fuzzy TOPSIS genetic algorithm Genetic algorithms Mathematical models Network design Reliability Risk management Simulated annealing supply chain network design Supply chain risk management Supply chains
ISSN:	0020-7543, 1366-588X
Online Access:	Get full text
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