Research On Hierarchical Coordinated Optimization In Product Family Design And Manufacturing Process For Remanufacturing

The increasingly serious problems of resource depletion and ecological environment destruction require manufacturing companies to adopt a "circular" development model.Remanufacturing,as an effective way to achieve "circulation" in the field of product manufacturing,is more and more accepted by people.Therefore,the concept of remanufacturing should run through the whole process of product development,companies must not only take remanufacturing into account in the manufacturing stage,but also consider how to remanufacture in the initial product design and redesign stages.The product family design or redesign process for remanufacturing can not only meet the differentiated needs of consumers,but also effectively reduce the difficulty of product disassembly and remanufacturing.However,due to the complexity and specialization of remanufacturing technology for different parts and components,more professional enterprises are encouraged to engage and cooperate in remanufacturing activities,which leads to the extensive "leader-follower" relationship between different decision makers involved in the product family design and manufacturing process for remanufacturing.At the same time,because the product design or redesign process should consider the remanufacturing or restrictions by the original product structure,it is necessary to conduct the correlative and collaborative optimization for decision-making agents with the "leader-follower" relationship.Therefore,some valuable leader-follower coordinated optimization problems derived from product design and manufacturing process for remanufacturing are deeply studied in this thesis.The main contents are as follows:(1)The leader-follower coordinated optimization problem of product upgrade design and remanufacturing outsourcing for remanufacturing in the product design stage is studied.A three-level optimization model for this problem based on Stackelberg game theory is established,which is a nonlinear and mixed integer model considering multiple remanufacturers and their outsourcers.This model provides the theoretical support for solving complex interactive decision-making problems involving one dominant decision-making agent and several relevant two types of agents with the leader-follower relationship.The solving process of this three-level leader-follower optimization model is divided into two steps.First,the model is transformed into a bilevel optimization model by the analytic method.Then,according to the inherent decision mechanism of bilevel programming,the nested genetic algorithm is used to solve this bilevel optimization model.In addition,the three-level optimization model and algorithm proposed in this thesis are applied to a typical engine remanufacturing product upgrade design case,and management enlightenment is given by analyzing the case results.(2)The leader-follower optimization problem of product family design considering disassembly and remanufacturing is investigated.The leader-follower structure framework of this problem is scientifically expounded and analyzed.A bilevel optimization model with two followers is established,and a nested genetic algorithm is designed.In addition,a case study of the notebook computer product family is focused on,and the obtained results are compared with the results of the two-stage method and the integrated optimization method.It is found that the leader-follower coordinated optimization method proposed in this thesis can solve the optimization problem of product family architecture design considering disassembly and remanufacturing more effectively.(3)The leader-follower coordinated optimization problem about reconfigurable process planning of remanufactured parts after disassembly and the optimal crowdsourcing is researched.Starting from actual problems,a bilevel optimization decision-making framework is constructed,and the viewpoint of defining remanufactured parts family according to feature is set up.A feature-based part family optimization design plan is proposed,and the feature commonality and process commonality measurement formulas are established respectively.Furthermore,some problems encountered in the constructing mathematical expression are solved.A bilevel optimization model is developed,and a nested genetic algorithm is designed.Take a batch of automobile parts that need to be remanufactured as an example to verify the effectiveness of the proposed model and algorithm.The common feature cost saving parameter of remanufactured part family is proposed,and the influence of this parameter on the upper-and lower-level objective functions is studied in order to help manufacturers and contracting companies make reasonable decisions.(4)The coordinated optimization problem of process planning and production scheduling for remanufacturing parts or components based on crowdsourcing is studied.The research strategy of remanufacturing parts production process is described.Based on the leader-follower coordinated structure of the problem,a bilevel optimization model is established to optimize the process planning of parts and the production scheduling decision scheme considering crowdsourcing factors.Taking automobile parts as an example,the effectiveness of the proposed model and algorithm is verified through comparative analysis.Comparative experiments with and without crowdsourcing and inventory are designed,and management implications are obtained from the analysis results.This thesis uses quantitative optimization to study the important leader-follower optimization problems in product family design and manufacturing process for remanufacturing,and gives management enlightenment.It plays an important role in promoting the development and improvement of the whole life cycle design process of product family for remanufacturing.At the same time,it has certain guidance and reference significance for solving the scientific problems with conflicting goals in the product family design and manufacturing process for remanufacturing.