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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Veröffentlicht in:	International journal of production research Jg. 59; H. 20; S. 6185 - 6209
Hauptverfasser:	Vishnu, C. R., Das, Sangeeth P., Sridharan, R., Ram Kumar, P. N., Narahari, N. S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Taylor & Francis 18.10.2021 Taylor & Francis LLC
Schlagworte:	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-Zugang:	Volltext
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