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Modeling dual-channel supply chain based on fuzzy system and genetic algorithm

Mahmoudi, A ; Sharif University of Technology | 2017

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  1. Type of Document: Article
  2. DOI: 10.1142/S0218488517500258
  3. Publisher: World Scientific Publishing Co. Pte Ltd , 2017
  4. Abstract:
  5. In this paper, we have proposed a dual-channel supply chain model in uncertain environment to analyze the demand of manufacturer and retailer demand in which the profit being maximized. Linguistic terms are also utilized to establish two fuzzy systems for estimating the demand in direct and retail channels. In order to do that, a mathematical model is proposed based on decentralized situation of supply chain. To solve the model, we have developed a hybrid solution method of genetic algorithm, fuzzy system, and L-P metric. Finally, several test problems are first generated; then, the computational results are analyzed. © 2017 World Scientific Publishing Company
  6. Keywords:
  7. Dual-channel supply chain ; fuzzy system ; genetic algorithm ; L-P metric ; pricing ; Costs ; Fuzzy systems ; Genetic algorithms ; Linguistics ; Computational results ; Dual channel supply chain ; Hybrid solution methods ; L-P metric ; Linguistic terms ; Retail channel ; Test problem ; Uncertain environments ; Supply chains
  8. Source: International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems ; Volume 25, Issue 4 , 2017 , Pages 573-598 ; 02184885 (ISSN)
  9. URL: https://www.worldscientific.com/doi/abs/10.1142/S0218488517500258