Research On Fuzzy Process Planning And Scheduling Of Remanufacturing Workshop From The Perspective Of Carbon Emission Reduction

With the deterioration of the global ecological environment and the gradual intensification of the greenhouse effect,it has become the general consensus of countries around the world to maximise carbon emission reduction while developing the economy.As an important part of the circular economy,remanufacturing is considered to be one of the main ways to achieve carbon emission reduction.However,a series of complex processes such as dismantling,cleaning and restoration in the remanufacturing and repair process will generate a large amount of carbon emissions.Without good optimised control of the remanufacturing system,the carbon reduction benefits of remanufacturing will not be reflected.As remanufacturing repair process planning and workshop scheduling is an important part of the remanufacturing repair process,the results of process planning and scheduling directly affect the carbon emissions of the remanufacturing repair process and the whole remanufacturing workshop.Therefore,in this paper,the fuzzy low carbon process planning and low carbon scheduling of remanufacturing workshop are addressed,and the fuzzy low carbon process planning and scheduling model of remanufacturing workshop and its solution strategy are studied in depth,and the main research contents are as follows:Firstly,the carbon emission footprint of the remanufacturing repair workshop is analyzed,and the triangular fuzzy number is used to represent the uncertain repair time and carbon emission of the remanufacturing process,and the total carbon emission is divided into the carbon emission of the remanufacturing repair equipment and the carbon emission of the auxiliary facilities of the remanufacturing workshop,and the mathematical model of the carbon emission of each part in the remanufacturing workshop is constructed.Secondly,the fuzzy low carbon process planning problem of the remanufacturing workshop is studied.A triangular fuzzy number is used to represent the uncertain repair time and carbon emission of the repair process,a multi-objective process planning mathematical model to minimize the fuzzy total carbon emission and fuzzy total completion time is established,and a non-dominated ranking genetic algorithm(NSGA-II)is introduced to optimize the solution.Finally,the effectiveness and feasibility of the remanufacturing fuzzy low-carbon process planning model and optimization algorithm are verified by examples.Then,the fuzzy low-carbon scheduling problem of remanufacturing plant is studied.A dual-objective remanufacturing plant low-carbon scheduling model that minimizes fuzzy maximum completion time and fuzzy total carbon emissions is established,a remanufacturing plant low-carbon optimization strategy is proposed,and an improved NSGA-II algorithm is introduced to solve the low-carbon scheduling model,an improved elite retention strategy and a variable neighborhood search strategy are designed to enhance the algorithm’s optimizationseeking capability,and finally,the improved algorithm is verified by benchmark cases Finally,the superiority of the improved algorithm to solve the fuzzy low-carbon scheduling problem is verified by a benchmark case,and the effectiveness and practicality of the remanufacturing lowcarbon scheduling model and low-carbon optimization strategy are verified by a remanufacturing restoration example.Finally,combining the above research results,the fuzzy low-carbon process planning and low-carbon scheduling system of remanufacturing workshop is designed and developed,each functional module of the system is introduced in detail,the optimization results are visualized on the system,and the remanufacturing low-carbon process planning and scheduling system is tested and verified through examples.