Supply chain network modeling, analysis and performance evaluation
using AI tool with industrial case studies
(Sprache: Englisch)
It is hoped that the modeling, analysis, insights, and concepts provided for various supply chain network based problems that arise in diverse sourcing, routing, location allocation, production, distribution and supply chain network design contexts, will...
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It is hoped that the modeling, analysis, insights, and concepts provided for various supply chain network based problems that arise in diverse sourcing, routing, location allocation, production, distribution and supply chain network design contexts, will provide guidelines for studying many other problems that arise in related situations. It is concluded that the present study on the performance analysis demonstrates the application of new PSO algorithms. It is found that the PSO algorithms are more effective and competitive to the existing state-of-the-art heuristic algorithms in terms of quality of the solutions and computational complexity for the performance analysis of multi-stage multi-echelon supply chain network architectures.
Autoren-Porträt von Rajeshwar S. Kadadevaramath
Kadadevaramath, Dr. Rajeshwar S.Dr. Rajeshwar S. Kadadevaramath has received PhD Degree in Supply chain management from Anna University Chennai (India). He is currently working as Professor and Head in the Department of Industrial Engineering and Management, Siddaganga Institute of Technology, Tumkur (India).
Bibliographische Angaben
- Autor: Rajeshwar S. Kadadevaramath
- 2019, 248 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 333035190X
- ISBN-13: 9783330351905
Sprache:
Englisch
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