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Analysis Effect of Parameters of Genetic Algorithm on a Model for Optimization Design of Sustainable Supply Chain Network Under Disruption Risks Cover

Analysis Effect of Parameters of Genetic Algorithm on a Model for Optimization Design of Sustainable Supply Chain Network Under Disruption Risks

Management Systems in Production Engineering
Volume 32 (2024): Issue 2 (June 2024)
By: Atiya Al-Zuheri,  Hussein S. Ketan and  Layla L. Alwan  
Open Access
|Jun 2024

Authors

Atiya Al-Zuheri

atiya.a.jiryo@uotechnology.edu.iq

University of Technology, Baghdad

Hussein S. Ketan

hussein.ke@uowa.edu.iq

University of Warith Al Anbiyaa, Karbala

Layla L. Alwan

layla.lateef@sadiq.edu.iq

Imam Ja’afar Al-Sadiq University, Baghdad
DOI: https://doi.org/10.2478/mspe-2024-0025 | Journal eISSN: 2450-5781 | Journal ISSN: 2299-0461
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Language: English
Page range: 252 - 264
Submitted on: Nov 1, 2023
Accepted on: Apr 1, 2024
Published on: Jun 23, 2024
Published by: STE Group sp. z.o.o.
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
genetic algorithm,
supply chain networks,
genetic operators,
disruption risks
Related subjects:
Business and economics,
Business management,
Management accounting, financial controlling, cost calculation, investment,
Engineering,
Mechanical engineering,
Production technology,
Tools and methods,
Process engineering and industrial engineering

© 2024 Atiya Al-Zuheri, Hussein S. Ketan, Layla L. Alwan, published by STE Group sp. z.o.o.
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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