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Application of Hybrid Genetic Algorithm for CLSC Network Design Problem in Fashion Footwear Industry—A Case Study Approach

机译:混合遗传算法在时尚鞋业CLSC网络设计问题中的应用-案例研究

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This research paper deals with the implementation of suitable meta-heuristic for the closed loop supply chain network design problem of a fashion product industry. First, the paper presents a comprehensive literature review on the applications of reverse and closed loop supply chain network design problems in Fashion Footwear Industry. The research work employs the case study approach to implement the model and algorithm. Closed loop supply chain network design problem of a Fashion Footwear Industry in South India is studied and considered for the purpose. Then it deals with the application of mathematical model and a suitable hybrid genetic algorithm (HGA) developed for the CLSC network design problem of the Industry this research. The MINLP model and suitable HGA developed are implemented in the industrial case as per the reverse supply chain process conditions and model adopted in the respective closed loop supply chain and the results are presented.
机译:本文研究了针对时尚产品行业的闭环供应链网络设计问题的适当元启发式方法的实现。首先,本文提供了关于反向和闭环供应链网络设计问题在时尚鞋业中的应用的综合文献综述。研究工作采用案例研究方法来实现模型和算法。为此,研究并考虑了印度南部时尚鞋业的闭环供应链网络设计问题。然后研究了数学模型的应用以及针对该行业的CLSC网络设计问题开发的合适的混合遗传算法(HGA)。根据反向供应链流程条件和相应闭环供应链中采用的模型,在工业案例中实施了MINLP模型和开发的合适的HGA。

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