Research On The Disassembly Depth And The Balancing And Optimization Of Disassembly Line On End-of-life Passenger Cars Under Uncertainty

Compared with other decommissioned products,end-of-life passenger vehicles have large,complex and precise characteristics,and because they contain dangerous parts and environmentally harmful substances,they are strictly regulated by national policies and regulations.Therefore,the disassembly process is time-wasting,difficult and costly.However,at present,Chinese end-of-life vehicle disassembly industry operate at a low technology level,and is still mainly based on manual dismantling,which cannot meet the high-capacity,high-efficiency,green and high-quality development needs.Aiming at the uncertain conditions such as the complexity of disassembly objects,the diversity of disassembly objectives and the uncertainty of disassembly depth,this paper focuses on two key technical issues: the generalized disassembly cost estimation and the decision-making of disassembly depth for end-of-life passenger vehicles,the paced disassembly process planning for end-of-life passenger vehicles and balanced optimization of disassembly production line.Key technologies such as the generalized cost evaluation,multi-objective optimization of disassembly depth and sequence,planning of paced disassembly process and disassembly production line,balanced optimization of efficient flexible disassembly line are studied.A generalized disassembly cost evaluation method based on dynamic fuzzy clustering algorithm,decision-making method of disassembly depth based on improved genetic algorithm and so on are proposed.Logistic simulation model and rhythmic disassembly process planning of disassembly line under uncertain conditions provide theoretical basis and key technical support for large-scale,highly flexible and green disassembly of retired passenger car products,and provide basic principles and practical cases for enriching relevant basic theories and methodologies in this field.The main content and innovative achievements of the thesis include the following aspects:(1)Aiming at the cost evaluation problem of end-of-life passenger car dismantling under uncertain conditions,based on the complete dismantling test of end-of-life passenger car,a generalized disassembly cost evaluation method based on dynamic fuzzy clustering algorithm was proposed.The generalization of the difficulty of the solution realizes the rapid evaluation of the cost of disassembly from parts to vehicles,and provides an effective method for enterprises to quickly predict the cost of disassembly.(2)Aiming at the multi-objective optimization problem of demolition depth decision of end-of-life passenger car under uncertain conditions,an improved genetic algorithm based on matrix coding and elite strategy is proposed,which is based on the economical,environmental impact,technical feasibility and other fitness parameters.The evolution process of the population realizes the heuristic solution of the Pareto optimal disassembly sequence under the condition of selective disassembly,which provides theoretical guidance for the dismantling decisionmaking of the dismantling enterprise seeking economic and environmental benefits.(3)Aiming at the planning and balance optimization problem of end-of-life passenger car dismantling production line under uncertain conditions,based on the real dismantling line layout,logistics and disassembly test parameters,the disassembly line logistics analysis logic simulation model and the beat-type disassembly are proposed.The process planning,through the simulation of the logistics analysis system,realizes the balanced scheduling and capacity optimization of the largecapacity,high-efficiency,flexible and compatible decommissioned passenger car dismantling line dismantling cycle and disassembly sequence,and is a flexible and efficient dismantling line for end-of-life passenger vehicles.The feasibility demonstration of the demonstration project construction provides a theoretical basis.In the context of modern production greening and sustainable manufacturing,this paper combines statistical,fuzzy mathematics,operations research,human factors engineering,intelligent algorithms and logistics simulation analysis to end-of-life passenger cars under uncertainties.The research on disassembly depth decision-making and disassembly line balance optimization has opened up a new way and has important theoretical and practical significance.