The National Fourteenth Five-Year Plan clearly proposes to insist on giving priority to agricultural and rural development,comprehensively promote rural revitalization,and improve agricultural quality,efficiency and competitiveness.And to vigorously promote the priority development of agriculture,it must be supported by agricultural machinery and agricultural equipment technology.Nowadays,with the continuous development of information technology and the integration of Internet of Things technology and manufacturing technology,agricultural machinery equipment manufacturing companies have begun to move from traditional manufacturing production models to intelligent manufacturing production models.The core of intelligent manufacturing is to realize the automatic identification,perception and intelligent processing of multi-source information in the manufacturing process through information technology.In the context of intelligent manufacturing,the traditional material distribution model cannot cope with the complex and changeable production environment of mixed-flow assembly workshops,and cannot realize the coordination between production and material distribution,which will seriously hinder the development of enterprise intelligent manufacturing.Therefore,studying the accurate and real-time distribution of materials in the mixed-flow assembly line of agricultural machinery equipment based on MES is of great significance in dealing with the production dynamics of mixed-flow assembly workshops and enhancing the market competitiveness of agricultural machinery equipment manufacturers.This paper takes YT enterprises as the research object,analyzes the production and material distribution characteristics of the traditional agricultural machinery equipment mixed-flow assembly line,deeply researches the material distribution mode compatible with the mixed-flow assembly line,and proposes a dynamic material distribution mode based on MES,that is,the dynamic change of the mixed-flow assembly line production A coordinated and precise material distribution model.First,analyze the production characteristics and material distribution characteristics of agricultural machinery equipment,and design a dynamic material distribution model based on MES through the application of the manufacturing execution system(MES),so as to realize the coordination of production and material distribution;Secondly,with the shortest distribution path and the minimum energy consumption of the distribution vehicle as the optimization goal,considering the load constraint of the distribution vehicle,the material distribution volume and the distribution time window,the material distribution path optimization model is established,and the solution is solved by the improved ant colony algorithm;Then,considering the related constraints such as the on-line inventory and production tact of the mixed-flow assembly line,taking material distribution costs and assembly station inventory costs as the optimization goals,a dynamic material distribution period optimization model is established,and a dynamic distribution period calculation algorithm based on SIMIO simulation is used to Solve;Finally,taking YT enterprise as an example,a case study was carried out.Through simulation analysis,the effectiveness and practicability of the material distribution route optimization model and the dynamic distribution period optimization model were verified,so as to realize the material distribution route optimization purpose of the mixed-flow assembly workshop.The standard for the dynamic distribution period of materials that is compatible with the production dynamics of the mixed-flow assembly line is established.The research results show that the mixed-flow assembly line material distribution model proposed in this article based on MES can realize the synergy of mixed-flow assembly line production and material distribution,and can be used as a reference for the optimization of mixed-flow assembly line material distribution in agricultural machinery equipment manufacturing enterprises,Has certain application value. |