Warranty and Preventive Maintenance Analysis for Sustainable Reverse Supply Chains

In addition to being environmentally friendly,remanufactured products are popular with consumers because they offer the latest technology at a lower price,in comparison to brand new products.However,some consumers hesitate to buy remanufactured products because they are skeptical about their quality.Thus,they are unsure of the extent to which the product will render services when compared to a new product.A promotional marketing strategy employed by remanufacturers is to offer warranties for these products.To that end,this study scrutinizes the impact of offering non-renewing warranties on remanufactured products.Specifically,in this paper,a methodology is suggested,which simultaneously minimizes the cost incurred by the remanufacturers and maximizes consumer confidence toward buying remanufactured products.This study uses a discrete-event simulation to optimize the implementation of a two-dimensional non-renewing warranty policy for remanufactured products.The implementation is illustrated using a specific product recovery system called the Advanced Remanufacturing-To-Order system.The experiments in the study were designed using Taguchi’s Orthogonal Arrays to represent the entire domain of the recovery system to observe system behavior under various experimental conditions.

Pricing and production strategies in remanufacturing from the perspectives of supply chain: Review and future directions

Remanufacturing is widely recognized as beneficial to the environment and a circular economy. However, remanufacturing is more complex than traditional manufacturing due to the effects of government policy, uncertainty of consumer preferences, competition and cooperation among firms, and so on. These factors motivate academics to optimize remanufacturing outcomes, especially for product pricing and production. This study reviews the published literature on pricing and production strategies in remanufacturing from four perspectives of supply chain, namely, government policy, consumer characteristics, relationships among firms, and supply chain structures. Review results can benefit scholars/practitioners in the future by highlighting the challenges and opportunities in remanufacturing strategies.

Managing economic and social profit of cooperative models in three-echelon reverse supply chain for waste electrical and electronic equipment

In addition to maximizing economic benefits, reverse supply chains should further seek to maximize social benefits by increasing the quantity of waste electrical and electronic equipment （WEEE）. The paper investigates cooperative models with different parties in a three-echelon reverse supply chain for WEEE consisting of a single collector, a single remanufacturer, and two retailers based on complete information. In acldition, the optimal decisions of four cooperative models and the effect of the market demand of remanufactured WEEE products and the market share of two retailers on the optimal decisions are discussed. The results indicate that optimal total channel profit and recycle quantity in a reverse supply chain are maximized in a centralized model. The optimal total channel profit and recycle quantity increase with an increase in the market demand of remanufactured WEEE products. The three-echelon reverse supply chain consisting of duopolistic retailers maximizes total channel profit and recycle quantity in a reverse supply chain fbr WEEE.

Study on Participant Behavior Game of Electronic Products Reverse Supply Chain Based on ECP

In this paper, a game model composed of three subjects — government, manufacturer and consumer has been built by using Evolutionary Game Theory on the basis of analyzing the trilateral game strategy of waste mobile reverse supply chain based on ECP; an evolutionary equilibrium model is to be sought for by utilizing the replication dynamic differential equation method; and the trilateral game strategy’s revolutionary trend and consistency have been analyzed by means of SD simulation method when government implements the static or dynamic reward and punishment strategy. The finding results reveal that, under the static reward and punishment strategy, the revolutionary process of trilateral game strategy is always unstable whether the initial behavior strategy is unitary or mixed.Therefore, it is more reasonable for the government to adopt the strategy of dynamic reward and punishment, and it is also stable and reciprocal for all the stakeholders when implementing this strategy.

A study on recycling of discarded garments based on the seller＇ s responsibility for recycling

By the closed-loop supply chain responsibility model, analysis the condition of seller taking the responslblhty for recychng of discarded clothes and derived utility of recycling by UNIQLO. The author thinks that the best choice is to recycle by seller. At present, it should be encouraged that seller, who are at dominant position in the supply chain, to carry out recycling old clothing so as to lead the other members in the supply chain to participate in recycling. Meanwhile, establish the corresponding legal provisions for the recycling of discarded clothing.

Implementation of Hybrid Genetic Algorithm for CLSC Network Design Problem—A Case Study on Fashion Leather Goods Industry

The implementation of closed loop supply chain system is becoming essential for fashion leather products industry to ensure an economically sustainable business model and eco-friendly industrial practice as demanded by the environmental regulations, consumer awareness and the prevailing social consciousness. In this context, this research work addresses a closed loop supply chain network problem of fashion leather goods industry, with an objective of minimizing the total cost of the entire supply chain and also reducing the total waste from the end of life product returns. The research work commenced with a literature review on the reverse and closed loop supply chain network design problems of fashion and leather goods industry dealt in the past. Then, the identified CLSCND problem is solved using a mathematical model based on Mixed Integer Non-Linear Programme (MINLP) and then a suitable Hybrid Genetic Algorithm (HGA) developed for the CLSCND is implemented for obtaining optimum solution. Both the MINLP model and HGA are customized as per the CLSCND problem chosen and implemented for the industrial case of an Indian Fashion Leather Goods Industry. Finally, the solutions obtained for MINLP model in LINGO 15 and for HGA in VB.NET platform are compared and presented. The optimum solution obtained from the suitable HGA is illustrated as an optimum shipment pattern for the closed loop supply chain network design problem of the fashion leather goods industry case.