Integrated Optimization Of Product Line Design And Market Launch In A Remanufacturing Environment

The product line optimization considering remanufacturing can not only meet the diversification of market segment demand at a lower cost,but also achieve the effect of energy saving,material saving and emission reduction.However,if the manufacturers only consider the needs of customers when designing the original new products,it may lead to more difficulty or even impossible to remanufacture,thus causing waste of resources.In addition,customers often pursue innovative technologies and have great requirements on the quality of remanufactured products.If remanufacturing is done without changing the initial product configuration,it is difficult to attract a wide range of customers.But,upgrading the product attribute level may be a promising solution to overcome this obsolescence.Then,recycling parts with less quality loss is one of the ways to ensure the quality of remanufactured products,but the cost of recycling is higher.Otherwise,although it can reduce the cost of recycling,it will increase its remanufacturing processing cost.Therefore,managers should balance customer preference,product remanufacturability,reliability and cost in product line design,and they will avoid unreasonable product configuration and unnecessary costs,then bringing economic benefits to the company.The research of this paper is carried out from the following three aspects:(1)This article studies the product line design optimization problem of new products and remanufactured products for niche markets.A 0-1 nonlinear programming mathematical model is constructed to optimize the new product configuration,remanufacture upgrade,and market launch decisions with profit maximization as the goal and remanufacturability,reliability,product remanufacturing cost as the constraints,and a Hybrid League Competition Algorithm(HLCA)is designed to solve the model.(2)This thesis studies the optimization problem of remanufacturing product line design considering quality loss.With the dual objectives of minimizing the loss of recycled product quality and minimizing the total cost of the remanufacturing process,a 0-1 dual-objective nonlinear mathematical model is constructed with the constraints of remanufacturing treatment method of recycled parts,customer utility and remanufacturing configuration of remanufactured parts.The Multi-Objective League Competition Algorithm(MOLCA)is designed to solve the model,and the optimal solution is finally obtained for the recycled parts recycling treatment method and the remanufacturing production configuration.(3)The large scale numerical and algorithmic comparison experiments of product line design optimization models were conducted.The input parameters of the model are taken in a certain reasonable range,and the HLCA and MOLCA are compared with the basic product line optimization algorithms GA and NSGA-II.In the same running time,the validity of the model built in this paper and the superiority of the solution quality of the designed algorithms are verified according to some evaluation indexes,and the final iterative results are output and further analyzed.