Journal Article10.1016/J.CIE.2006.07.011
A genetic algorithm approach for multi-objective optimization of supply chain networks
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TL;DR: A new solution procedure based on genetic algorithms to find the set of Pareto-optimal solutions for multi-objective SCN design problem and two different weight approaches are implemented in the proposed solution procedure.
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About: This article is published in Computers & Industrial Engineering. The article was published on 01 Sep 2006. The article focuses on the topics: Supply chain network & Supply chain management.
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Citations
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Analyzing the Resilience of Complex Supply Network Topologies Against Random and Targeted Disruptions
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References
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Multi-Objective Optimization Using Evolutionary Algorithms
Kalyanmoy Deb,Deb Kalyanmoy +1 more
- 01 Jan 2001
TL;DR: This text provides an excellent introduction to the use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study.
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Gary B. Lamont,David A. Van Veldhuizen +1 more
- 30 Jun 2002
TL;DR: This paper presents a meta-anatomy of the multi-Criteria Decision Making process, which aims to provide a scaffolding for the future development of multi-criteria decision-making systems.
Genetic algorithms and engineering optimization
Mitsuo Gen,Runwei Cheng +1 more
- 17 Dec 1999
TL;DR: This paper presents a meta-modelling framework that automates the very labor-intensive and therefore time-heavy and therefore expensive and labor-heavy process of designing and solving optimization problems.
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Multiobjective Decision Making: Theory and Methodology
Vira Chankong,Yacov Y. Haimes +1 more
- 01 Jan 1983
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Supply chain design and analysis:: Models and methods
TL;DR: In this article, the authors provide a focused review of literature in multi-stage supply chain modeling and define a research agenda for future research in this area, which is largely a result of the rising costs of manufacturing, the shrinking resources of manufacturing bases, shortened product life cycles, the leveling of the playing field within manufacturing, and the globalization of market economies.
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