Rescheduling Optimization Method For Discrete Manufacturing Workshop Based On Integrated Equipment Layout And Its Application

Under the modern manufacturing mode,the integrated scheduling of materials,processes,and equipment in discrete manufacturing workshops directly affects product quality,production efficiency,and cost.How to achieve efficient scheduling is to achieve modern,intelligent,highly flexible,and agile production.The essential.In the actual production workshop,a variety of emergencies will occur,which will make the preset scheduling schemes ineffective or even negative.Therefore,there is a need for a rescheduling method that can cope with production disturbances.At the same time,for the selection of rescheduling schemes,an excellent decision scheme needs to be established,and the performance of the scheme is described quantitatively through the rescheduling decision indicators.Based on this,Workshop Rescheduling with Integrated Equipment Layout(WRIEL)is an effective way to solve this problem.This paper studies the modeling,solving and decision-making of WRIEL problems.The main contents of this article are as follows:In the first chapter,the background and research significance of workshop scheduling with integrated equipment layout are introduced firstly.Second,the current status of domestic and foreign research is described on static scheduling of integrated materials,processes,and equipment,workshop rescheduling based on production disturbances,and scheduling optimization scheme decisions.The shortcomings of the existing research are analyzed,and the research content of this article is put forward,and the structural framework is introduced.In the second chapter,aiming at the WRIEL problem,the coupling relationship of the overall scheduling of materials,processes,and equipment is analyzed.The possible disturbance events are classified and described.The uncertain events that have the greatest impact on production are analyzed.Based on this,the workshop is established.Coupling model of scheduling and equipment layout.Finally,the initial scheduling scheme is developed using the reverse order method.In the third chapter,aiming at the coupling model of shop floor scheduling with integrated equipment layout,an improved immune genetic algorithm was used to solve the problem.First,the population generation similarity was calculated based on the information entropy.Based on this,a dynamic adaptive vaccine extraction strategy was proposed,and the mutation probability and Cross probability,improve convergence speed and prevent falling into local optimum.A multi-strategy redundant rescheduling strategy is used to design a rescheduling scheme after production disturbances occur.In the fourth chapter,based on the Pareto solution set obtained in Chapter 3,a decisionmaking model for plant rescheduling schemes with integrated equipment layout is established.Based on the three optimization goals,two new evaluation indexes are proposed: stability index and additional energy consumption index,which are used to describe the adjustment range and change cost of the new scheme compared to the initial scheme.At the same time,an improved decision-making method is established to solve the model,determine the pros and cons between the schemes,and finally decide the selection of the rescheduling scheme for the discrete manufacturing workshop.In the fifth chapter,based on the proposed discrete manufacturing plant scheduling coupling model modeling method,rescheduling solution method and decision method proposed in this paper,combined with the academician workstation project "Design of Wood-Plastic Composite Automated Production Line",based on the production data of the workshop,the research results of this article will be Used in the company’s production line deployment and optimization to improve the production efficiency of the workshopIn the sixth chapter,the research content of the full text is summarized,and the deficiencies in the article and future research directions are prospected.