Research On Construction And Scheduling Of Seru Considering Worker Flexibility Under Equipment Failure

With the continuous development of information technology and automation,customers’ demand for products is increasingly personalized and diversified.In order to meet the everchanging market demand,the multi-variety and small-batch production mode has become the mainstream development direction of manufacturing enterprises.Seru has both the efficiency of the assembly line and the flexibility of celluar production,and can quickly respond to the market demand for multiple varieties and small batches,which has attracted wide attention from scholars and enterprises.The joint decision of Seru construction and scheduling is to reasonably divide the equipment and workers in the workshop and determine the processing sequence of batches in Seru.Seru construction and scheduling joint decision has always been a hot topic of discussion.However,most of these studies ignore the influence of worker flexibility on joint decision-making and the influence of equipment failure on the scheduling scheme,resulting in workers’ skill level can not be fully played,low production efficiency,frequent adjustment of the work plan and poor production stability.Therefore,considering worker flexibility and equipment failure,this thesis studies the construction and scheduling of Seru based on equipment,so as to give full play to workers’ skill level,improve production efficiency and enhance the response ability to equipment failure.Aiming at the construction and scheduling problem of Seru based on equipment,this thesis comprehensively considers the product type,equipment processing capacity and worker flexibility,and constructs a mathematical model aiming at minimizing the maximum completion time and workload balance among workers,and solves the problem by using the improved NSGA-Ⅱ algorithm.In order to improve the global search ability of the algorithm,the three-dimensional chromosome coding method based on process-equipment-worker is adopted,and the crossover and mutation methods are improved.This scheme can realize the relative balance of workloads among workers while ensuring the maximum completion time as short as possible,so as to give full play to the skill level of workers and improve the production efficiency of the workshop.On the basis of the above,this thesis considers the impact of equipment failure on job planning,establishes the Seru rescheduling model with the goal of balancing the maximum completion time and workload among workers,and designs an improved multi-objective artificial bee colony algorithm to solve the problem.The algorithm is improved in chromosome coding,file set,population generation mode and bee search mode.The algorithm can effectively avoid premature convergence.On this basis,a rescheduling mechanism based on right-shift rescheduling,transfer rescheduling and complete rescheduling is proposed to solve the problem of frequent adjustment of scheduling schemes caused by equipment failures in Seru.The indexes of maximum completion time deviation and process deviation are designed to evaluate and select rescheduling schemes.This scheme can comprehensively consider the impact of equipment failure on the initial scheduling scheme and then develop a rescheduling scheme that is more in line with the actual workshop,so as to achieve a continuous,efficient and stable production process.In summary,this thesis takes the engine piston production of A company as the background,and applies the proposed Seru construction and scheduling method considering worker flexibility and the rescheduling method under equipment failure to the actual situation of the enterprise,and compares the results with the actual scheme of the enterprise.The results show that the proposed method can shorten the maximum completion time by 10.54%,reduce the variance of workloads among workers by 12.11%,reduce the maximum completion time deviation by 94.51%,and reduce the process deviation by 1.12%.Therefore,the method proposed in this thesis can maintain the stability of the production process while ensuring the relative balance between the production efficiency and the workload of workers,and provide certain guidance and method references for relevant enterprises to implement the Seru production mode.