Research On Many-Objective Production Scheduling Model And Optimization Method Of Aluminum Alloy Large Components Production Line

With the implementation of "Made in China 2025" and the development of a new generation of intelligent manufacturing technology,the manufacturing industry urgently needs a revolutionary industrial upgrading,needs speed up the deep integration of the new generation of information technology and the manufacturing industry,can realize the optimization of products and their production and service processes,and obtains the effects of high efficiency,high quality,flexibility,agility,low consumption and pleasant.Due to the increasingly customized product requirements of customers,the production characteristics of aluminum alloy large aerospace component manufacturing industry have changed to multiple varieties and small batches.The aluminum alloy large-scale aerospace component production line has the problems of complex production organization,low efficiency and high cost,which cannot meet the manufacturing requirements of modern aluminum alloy large-scale aerospace components.Therefore,it is necessary to transform and upgrade the manufacturing mode,and finally need realize intelligent manufacturing.Intelligent workshop scheduling is an important part of the intelligent manufacturing system and the core decision-making content of the new generation of intelligent manufacturing production management.This paper takes the aluminum alloy aerospace component production line as the engineering background.Aiming at the many-objective in the process of production line intelligent scheduling,a high-dimensional manyobjective production scheduling optimization decision-making method is proposed in this paper;In order to reduce the impact of interference events in aluminum alloy large aerospace component production scheduling process,a dynamic scheduling interference management method is proposed;In the distributed manufacturing environment of aluminum alloy aerospace components,in order to improve the scheduling coordination and optimization ability among multiple workshops,a high-dimensional manyobjective distributed workshop collaborative scheduling optimization decision-making method is proposed;The whole process production scheduling model of high-performance aluminum alloy smelting and casting production line and the whole process production scheduling model of aluminum alloy aerospace components creep forming production line are established,which solves the production scheduling problem of aluminum alloy smelting and casting production line and creep forming production line.For the related intelligent scheduling problems of aluminum alloy aerospace component production line,the specific research contents are as follows:(1)In order to achieve high quality,flexibility,high efficiency and low consumption in aluminum alloy large aerospace component manufacturing process,many optimization objectives need to be comprehensively considered in the scheduling process.A high-dimensional many-objective workshop intelligent scheduling model is established.This model needs to comprehensively consider constraints such as resources and processes.An improved intelligent decision optimization method(NSGA-APEV)based on NSGA-Ⅲ is proposed.In the association operation,the PBI distance which can take into account the convergence and diversity is used to calculate the distance between the individual and the reference vector.In the individual retention operation,the deletion mechanism based on PBI distance is used to retain the individual.This method effectively improves the convergence and diversity of the population.The feasibility and superiority of this method in solving high-dimensional many-objective job shop scheduling problem are demonstrated by computational experiments.(2)In order to reduce the impact of interference events in aluminum alloy large component production scheduling process,a dynamic scheduling interference management method is proposed.The new interference management method includes interference management pre-judgment mechanism based on offset and interference management final-judgment mechanism based on comparative advantage.This method comprehensively measures the deviation between the interference adjustment scheduling scheme and the initial scheduling scheme,including objective deviation and subjective deviation of actors.Compared with the results of other rescheduling methods,the interference adjustment scheme generated by the new interference management method has the least disturbance to the system and takes into account the scheduling performance.(3)For the many-objective the whole process production scheduling problem of high-performance aluminum alloy melting and casting production line,a many-objective the whole process production scheduling model of smelting and casting production line is established.Meanwhile,the model is optimized by high-dimensional many-objective optimization decision-making method(SPEALNS).Through the calculation experiments of industrial data set and industrial field actual data,the feasibility and superiority of the aluminum alloy casting production line whole process production scheduling model and optimization decision algorithm are verified.Then,the proposed new interference management method is applied to the dynamic scheduling problem of high-performance aluminum alloy melting and casting production line.The new interference management method effectively reduces the impact of interference events on the production of melting and casting production line,and ensures the stable operation of the production line.(4)The many-objective the whole process production scheduling problem of aluminum alloy aerospace component creep forming production line is studied,and the many-objective the whole process production scheduling model of aerospace component creep forming production line is established.Meanwhile,the high-dimensional many-objective optimization decision-making method(NSGA-APEV)is used to solve the model.Through the calculation experiments of industrial data set and industrial field actual data,the feasibility and superiority of the aluminum alloy aerospace component creep forming production line whole process production scheduling model and optimization decision algorithm are verified.(5)According to the distributed manufacturing characteristics of aluminum alloy aerospace component intelligent factory,a high-dimensional many-objective distributed workshop collaborative scheduling model is established.In order to effectively solve the model,an effective manyobjective memetic algorithm HMOMA(high dimensional many-objective memetic algorithm)is proposed,which designs a dual-mode environment selection method and a local search method.The experimental results verify the feasibility and superiority of HMOMA algorithm in solving highdimensional many-objective distributed workshop collaborative scheduling problem.This research work has a guiding role in the actual production scheduling of the large aluminum alloy components distributed production system.