A risk-based optimization framework for integrated supply chains using genetic algorithm and artificial neural networks-Reference-Cited by-同舟云学术

A risk-based optimization framework for integrated supply chains using genetic algorithm and artificial neural networks

Published:2020-07 Issue: Volume:225 Page:107569
ISSN:0925-5273
Container-title:International Journal of Production Economics
language:en
Short-container-title:International Journal of Production Economics

Author:

Nezamoddini Nasim,Gholami Amirhosein,Aqlan Faisal

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Economics and Econometrics,General Business, Management and Accounting

Reference55 articles.

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3. A genetic algorithm approach for multi-objective optimization of supply chain networks;Altiparmak;Comput. Ind. Eng.,2006

4. Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption;Azadeh;Appl. Math. Comput.,2007

5. A multi-objective stochastic programming approach for supply chain design considering risk;Azaron;Int. J. Prod. Econ.,2008

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