| With the intensification of economic globalization,rivalry among automakers has become more and more fierce.Growing demand from customers,the rapid shortening of product life cycles,the rise in the number and types of goods manufactured,and the contradiction between product quality and cost are now confronting car manufacturers.The content movement of the upstream process and the handling of the downstream process was incorporated into the workshop scheduling issue analysis in response to the above problems.The key material of the study is as follows:Firstly,the problem of clustering and nesting of automobile chassis parts is studied.First,the auto parts in the market order are decomposed,and then according to the production characteristics of the centralized blanking of the auto chassis workpieces,the workpieces are divided into several groups according to the width,height,thickness,raw material type and processing method,and the K-MEANS clustering algorithm is adopted.Carry out workpiece clustering,formulate a reasonable batch production plan for automobile chassis workpieces,use the nesting algorithm to nest the workpieces of each group,and verify the feasibility and effectiveness of the method through examples.Secondly,the scheduling optimization problem of multi-objective non-equivalent parallel machines is studied.In view of the wide variety of workpieces and low sorting efficiency in the production process of automobile chassis workpieces,considering the component requirements of the welding workshop,to reduce the overall component set time,to advance the number of components and defer the number of components,to create a multi-objective allometric parallel system scheduling model for automobile chassis workpieces and to construct an improved non-dominated sorting,the genetic algorithm is used to solve the model and the feasibility.Thirdly,the dynamic scheduling problem of automobile chassis workpiece production workshop is studied.A hybrid-driven rescheduling mechanism based on rescheduling needs is proposed to decide whether to trigger rescheduling.In the two circumstances of system breakdown and emergency order insertion,a dynamic scheduling model based on scheduling efficiency and scheduling stability evaluation metrics is developed to solve the dynamic scheduling issue of the automobile chassis workpiece development workshop,and an improved non-dominated genetic sequencing algorithm is used to perform multi-objective dynamic scheduling.Finally,the efficacy and usefulness of the procedure is checked by an example.Finally,design the production scheduling system of automobile chassis parts is designed.First,the demand analysis of the output scheduling system of the automotive chassis workpiece is done,and then the overall system configuration and feature modules are designed.Finally,the Plant Simulation program is used in a simulated world to create the vehicle chassis workpiece production scheduling model and to perform visual simulation. |