Green Supply Chain Network Equilibrium Model with Genetic Algorithm

Jing Long Jiang; Yan Zhou; Jing Jing Wang; Rui Jing Han

doi:10.4028/www.scientific.net/AMR.712-715.3031

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The Application of Information Technology in Green Supply Chain
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Diagnosis Method and Empirical Study of Supply Chain Performance Based on Bayesian Network
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 712-715Green Supply Chain Network Equilibrium Model with...

Green Supply Chain Network Equilibrium Model with Genetic Algorithm

Abstract:

In this paper, a new model of oligopolistic competition for green supply chains is developed in the case of single product with the inclusion of environmental concerns. Each firm aims to not only maximize its profit but also minimize its emissions throughout its supply chain. Genetic algorithm is utilized for solving the Nash-Cournot equilibrium without any assumption of continuity and differentiability. With the numerical examples, we not only illustrate the generality of the modeling framework but also how the model can be used in practice to comprehend the effects of changes in the weights.

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Periodical:

Advanced Materials Research (Volumes 712-715)

Pages:

3031-3037

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.712-715.3031

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Online since:

June 2013

Authors:

Jing Long Jiang*, Yan Zhou, Jing Jing Wang, Rui Jing Han

Keywords:

Genetic Algorithm (GA), Nash-Cournot Equilibrium, Oligopolistic Competition, Supply Chain Networks

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* - Corresponding Author

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