Research On Optimization Of Monthly Training Process For Locomotive Crew Positions In Railway D Power Supply Section

Employee training is an important means for enterprises to improve their professional quality and has significant implications for improving the efficiency of enterprise operations.This thesis is based on the discipline of business administration,from the perspective of process optimization,using tools such as statistics,operations research,and intelligent optimization algorithms to conduct process optimization research on the monthly training process of Railway D Power Supply Section for locomotive crew positions.The research purpose is to address the issues of insufficient targeted course setting during the planning stage,difficulty in scheduling and assigning instructors during the plan implementation stage,and incomplete evaluation system during the effectiveness evaluation stage in the monthly training process for locomotive crew positions in the enterprise.In Chapter 4 of this thesis,descriptive statistical methods is used to compare and analyze the monthly training course data of Railway D Power Supply Section for locomotive crew positions and the error operation data of the personnel during on-site construction operations from the past three years.The key issue of insufficient targeted course settings in the monthly training process planning stage of the enterprise is identified.In this regard,this thesis uses the TOPSIS method to model and optimize the training course setting points,to scientifically calculate the theoretical score weights of each optimized training course point,and to point out optimization measures of corresponding course setting,providing reasonable suggestions for the course setting of the enterprise in the monthly training plan development stage.In Chapter 5 of this thesis,starting from the difficulty of scheduling and assigning instructors during the implementation phase of the monthly training process plan,a non-standard assignment operations research model with "fewer personnel and more tasks" for training instructors is constructed,which is based on operations research.To solve this problem and make the algorithm designed in this thesis have certain generalization significance,this thesis adopts the Particle Swarm Optimization algorithm in heuristic algorithms.The thesis builds on the research of previous scholars and further improves the nonlinear dynamic adaptive inertia weight particle swarm optimization algorithm based on sigmoid neural network activation function.It introduces the crossover and mutation strategies of Genetic Algorithm,which extends the above algorithm from solving continuous mathematical problems to solving discrete mathematical problems.This thesis designs an adaptive inertia weight discrete particle swarm optimization algorithm that introduces crossover and mutation based on this scheme.This thesis verifies that the introduction of crossover and mutation strategies can increase the probability of the algorithm jumping out of the local optimal solution when solving integer programming problems,and the solution results are more accurate and stable through numerical simulation testing.This algorithm not only solves the problem of scheduling and assigning instructors in the enterprise,but also provides reference for other types of work in this enterprise or other enterprises facing similar problems.The enterprise can input the calculated time cost matrix into the algorithm designed in this thesis to quickly obtain the instructor training assignment plan for the current month.The thesis provides a scientific tool for optimizing instructor scheduling and assignment during the implementation phase of monthly training plans for the enterprise.In Chapter 6 of this thesis,the Kirkpatrick Four Level Training Evaluation model is used to sort out and improve the monthly training effectiveness evaluation system for the locomotive crew positions of the enterprise,which is based on the actual situation of the enterprise.The study has comprehensively optimized the effectiveness evaluation stage of the monthly training process for enterprises from four aspects: reaction level,learning level,behavior level,and result level.At the end of this thesis,corresponding institutional guarantee suggestions are provided based on the overall situation of the research object.