Research On Bi-level Service Facility Location And Resource Allocation Optimization For Operation And Maintenance Of Agricultural Machinery Equipment

With the continuous development of agricultural modernization of our country,farm machinery equipment has become an important tool and safeguard in the development of modern agriculture.Because agricultural machinery equipment is prone to failure under highintensity operation,agricultural machinery equipment manufacturing enterprises need to provide timely operation and maintenance services for faulty agricultural machinery to ensure the safe operation of agricultural machinery equipment.Service facilities as a direct carrier to provide operation and maintenance services,its location directly affects the efficiency of operation and maintenance services.At present,domestic and foreign researchers have carried out a lot of research on operation and maintenance service decision,facility location and resource allocation,and put forward a series of models and algorithms.When agricultural machinery equipment operation and maintenance services are carried out,operation and maintenance service facilities are often divided into different levels and given different functional attributes.Different levels of service facilities coordinate and cooperate with each other to meet diversified operation and maintenance service needs,and optimize service efficiency,service cost and other objectives.Aiming at the problem of site selection and resource allocation of agricultural machinery equipment operation and maintenance service facilities,this thesis first constructed a bi-level facility location and resource allocation optimization model for static operation and maintenance service requirements.Then,considering the dynamic operation characteristics of agricultural machinery equipment,a bilevel facility dynamic location and resource allocation multi-objective optimization model was established.Finally,based on the principle of multi-direction flow allocation of service resources,the bi-level facility dynamic location and resource allocation multi-objective optimization model is further developed and improved.In this thesis,Epsilon constraint method was used to solve the above multi-objective optimization model,and the rice production in Jiangxi Province was taken as an example to demonstrate the feasibility and effectiveness of the model and algorithm.The main research content of this thesis is as follows:(1)Bi-level facility location and resource allocation optimization for static demand.In this thesis,service facilities are divided into two levels according to their different attributes.First,a bi-level facility location and resource allocation optimization model is constructed for static operation and maintenance service requirements and to minimize the cost of service resource allocation.Taking rice production in Jiangxi Province as an example,this thesis discussed the bi-level facility location and resource allocation scheme through data experiment,and analyzed the influence of the variation of the number of service facilities at different levels on the cost of service resource allocation.(2)Dynamic location selection and resource allocation optimization of bi-level facilities based on one-way flow of resources.According to the characteristics of dynamic changes in demand,this thesis further divides the planning period into several periods,constructs a bi-level facility dynamic location and resource allocation multi-objective optimization model with the goal of minimizing the cost of service resource allocation and minimizing the number of newly opened maintenance stations,and proposes a solution model with Epsilon constraint method.Taking rice production in Jiangxi Province as an example,the tradeoff decision relationship between different optimization objectives was discussed through data experiment,the advanced character of dynamic location model was verified,and the influence of the change of the number of service facilities at different levels on the cost of service resource allocation was analyzed.(3)Dynamic location selection and resource allocation optimization of bi-level facilities based on multi-direction flow of resources.In order to further optimize the operation and maintenance service network and improve the efficiency of operation and maintenance service,this thesis changes the functional attributes of service facilities based on the principle of multidirection flow allocation of service resources.Aiming at minimizing the cost of service resource allocation and minimizing the number of newly opened maintenance stations,the multiobjective optimization model of bi-level facility dynamic location and resource allocation was improved,and the model was solved by Epsilon constraint method.Taking rice production in Jiangxi Province as an example,the tradeoff decision relationship between different optimization objectives was discussed through data experiment,the influence of different levels of service facilities on service resource allocation cost was analyzed,and the different impacts of different levels of service facilities on service resource allocation cost were compared.