Abstract
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.
Highlights
The fashion, leather and lifestyle products industries have been witnessing positive growth across all price points and product categories in India
The HGA4 has emerged as the best hybrid genetic algorithm providing the best optimum solution for the generic CLSCND problem as presented by Aravendan and Panneerselvam [15].This best hybrid genetic algorithm is adapted and customized for solving the specific CLSCND problem of the fashion footwear industry considered in this research work
In the implementation of the methods to solve the CLSC network design problem of the industry case study, first the mixed integer programming model has been applied to check whether the optimum solution could be obtained in reasonable time using LINGO 15
Summary
The fashion, leather and lifestyle products industries have been witnessing positive growth across all price points and product categories in India. The integration of the both forward and reverse supply chain systems is gaining importance in the fashion product industries and the companies are looking into developing an efficient supply chain models to implement the integrated supply chain concepts In this context, the closed loop supply chain model and hybrid genetic algorithm developed are very much in need for the present situations prevailing in the fashion product industries. The researcher approached a couple of industries who have shown interests to implement the CLSC network design model and Hybrid Genetic Algorithm developed for solving their supply chain network design problems. The Case Study discusses and presents the implementation of the CLSC model and hybrid genetic algorithm to solve the supply chain network design problem of a footwear industry which manufactures and supplies footwear made out of leather and non-leather materials to the domestic consumers in India. The final section concludes the research with a summary of findings
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