Manufacturing network flow （MNF） is a generalized network model that overcomes the limitation of an ordinary network flow in modeling more complicated manufacturing scenarios, in particular the synthesis of differen...Manufacturing network flow （MNF） is a generalized network model that overcomes the limitation of an ordinary network flow in modeling more complicated manufacturing scenarios, in particular the synthesis of different materials into one product and/or the distilling of one type of material into many different products. Though a network simplex method for solving a simplified version of MNF has been outlined in the literature, more research work is still needed to give a complete answer whether some classical duality and optimality results of the classical network flow problem can be extended in MNF. In this paper, we propose an algorithmic method for obtaining an initial basic feasible solution to start the existing network simplex algorithm, and present a network-based approach to checking the dual feasibility conditions. These results are an extension of those of the ordinary network flow problem.展开更多
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 hes...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.展开更多
基金Supported by the National Natural Science Foundation of China(No.10371028,No.10671177)the Key Project of Chinese Ministry of Education(No.1080607)+1 种基金the Scientific Research Grant of Jiangnan University(No.314000-52210382)the Youth Foundation from School of Science of Jiangnan University(January 2008-December 2009)
文摘Manufacturing network flow （MNF） is a generalized network model that overcomes the limitation of an ordinary network flow in modeling more complicated manufacturing scenarios, in particular the synthesis of different materials into one product and/or the distilling of one type of material into many different products. Though a network simplex method for solving a simplified version of MNF has been outlined in the literature, more research work is still needed to give a complete answer whether some classical duality and optimality results of the classical network flow problem can be extended in MNF. In this paper, we propose an algorithmic method for obtaining an initial basic feasible solution to start the existing network simplex algorithm, and present a network-based approach to checking the dual feasibility conditions. These results are an extension of those of the ordinary network flow problem.
文摘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.
