Development of a reliable and flexible supply chain network design model: a genetic algorithm based approach-Reference-Cited by-同舟云学术

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

Published:2020-09-01 Issue:20 Volume:59 Page:6185-6209
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Vishnu C. R.¹,Das Sangeeth P.¹,Sridharan R.¹^ORCID,Ram Kumar P. N.²,Narahari N. S.³

Affiliation:

1. Department of Mechanical Engineering, National Institute of Technology Calicut, Calicut, India

2. Quantitative Methods and Operations Management, Indian Institute of Management Kozhikode, Calicut, India

3. Department of Industrial Engineering and Management, R V College of Engineering, Bengaluru, India

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2020.1808256

Reference43 articles.

1. Altiparmak, F., M. Gen, and L. Lin. 2005. “A Genetic Algorithm for Supply Chain Network Design.” Paper presented at the 35th International Conference on Computers and Industrial Engineering, Istanbul, 19–25.

2. A steady-state genetic algorithm for multi-product supply chain network design

3. A genetic algorithm approach for multi-objective optimization of supply chain networks

4. National and Global Risk Studies: How Can the Field of Risk Analysis Contribute?

5. Bundschuh, M., D. Klabjan, and D. L. Thurston. 2003. “Modeling Robust and Reliable Supply Chains.” Working Paper, University of Illinois, Urbana-Champaign.

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