Regional Agricultural Machinery Maintenance Center Location And Service Schedule Facing Agricultural Machinery Socialized Service

Agricultural machinery socialized service is one of the characteristics of Chinese agriculture.The maintenance ability of agricultural machinery is an important guarantee of the service.Agricultural machinery maintenance industry is confronted with great challenge due to the service subjects,mechanical structure,working condition and so on.These factors reflect badly on the working performance,production safety.Therefore,how to improve the service network of agricultural machinery maintenance and increase the capability of responding to a sudden malfunction has been proposed as a critical issue faced by the society.The thesis concentrates on the regional agricultural machinery maintenance center which provide comprehensive maintenance service for socialized agricultural machinery.Research target is to improve the quality of maintenance service and ensure the management benefit of center.The research adopts a problem-solution approach with three steps that problem recognition,problem definition and problem solution.In the view of problem recognition,the uncertainty of faulty agricultural machinery maintenance demand is identified.Then,the factors of maintenance center location decision and service schedule are analyzed deeply.Finally,the in-depth study is done depend on the operational research model made using location theory,two-stage chance-constrained programming,dynamic vehicle routing problem,genetic algorithm.In details,the studying works focus on the parts given below.Firstly,the thesis investigates the regional agricultural machinery maintenance center location decision problem to coordinate the conflict between service purpose and profit purpose of it.In this part,the relationship between the management status quo of regional agricultural machinery maintenance center and the original location decision in some uncertain demand scenarios is firstly identified.Then,a two-stage chance-constrained programming location model considering uncertain requirements is formulated.It aims to minimize location cost and expected operation cost.Finally,the model is solved by a two-layer nested genetic algorithm which is designed according to the structural characteristics of the model.Numerical example combined with can verify the model’s rationality.Secondly,the thesis explores an agricultural machinery maintenance service dynamic scheduling problem with circuit repair task.This is a uncertain problem which need to consider agricultural machinery failures maintenance demands’ randomness and frequency.First of all,when the maintenance demand information is uncertain and difficult to predict,the maintenance task profile is transformed into a series of static scheduling problems at discrete time points according to the changing requirements.The static scheduling model is invoked repeatedly to realize static processing of dynamic problems.And then,a VRP model is formulated to accomplish the two optimization objectives include minimize the cost of service resource acquisition and minimize service response time.At the same time,a driven strategy named “mixing batch” is proposed to determine the opportunity of rescheduling.At last,NSGA-Ⅱ is used to solve the model according to the dual-objective feature of the model.The rationality of the model is verified with the simulation case.In summary,the thesis gives support to the development of agricultural machinery repair industry.The research achievement related to regional agricultural machinery service center location and service schedule enriches a theoretical method to model the agricultural machinery maintenance service network optimization.It also provides a decision-making tool to make the schedule of agricultural machinery mobile maintenance vehicle when the maintenance demand is uncertain.