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Research On Flexible Manufacturing Scheduling Of Complex And Precision Parts Of Electronic Products

Posted on:2022-12-03Degree:MasterType:Thesis
Country:ChinaCandidate:Y M FengFull Text:PDF
GTID:2518306764477584Subject:Automation Technology
Abstract/Summary:PDF Full Text Request
As China gradually focuses on the manufacturing of advanced,precision and highgrade products,the market demand for the number and types of complex precision parts of electronic products is gradually increasing,which makes a manufacturing enterprise of electronic products have an extraordinary variety of products,large manufacturing scale and a great quantity of orders in process.Therefore,the enterprise has planned different flexible manufacturing schemes to improve production efficiency.However,the flexible production mode and huge demand lead to the problem of difficult scheduling,unreasonable resource allocation and frequent disturbance,which seriously reduces the production efficiency of enterprises.Therefore,it is necessary to carry out the research on production scheduling for the flexible manufacturing of complex precision parts of electronic products.Aiming at the two kinds of production schemes planned by the enterprise for manufacturing complex and precision parts of electronic products: hybrid flexible workshop which contains manual station and automatic station and fully automated flexible production line,this thesis carried out the following research from two aspects of static scheduling and dynamic scheduling:Firstly,aiming at flexible job shop scheduling problem of hybrid flexible workshop which contains manual station and automatic station,taking the maximum completion time,minimum production cost,minimum proportion of switching time and maximum equipment operation load rate as the optimization objectives,a hybrid partial flexible job shop problem model under multi-objective was established;The uncertain distribution probability of man hour was analyzed,and the fluctuating man hour based on normal distribution was established;An improved competitive particle swarm optimization algorithm based on simulated annealing algorithm was designed to solve the problem of "dimension disaster" and improve the performance of the algorithm in high-dimensional calculation the effectiveness due to the large variety and quantity of products in scheduling.The scheduling model and algorithm was verified by simulation.Secondly,aiming at the scheduling problem of automatic flexible production line,an order urgency determination mechanism based on grey correlation method and analytic hierarchy process was established,and the selection rules of scheduling orders were designed.Taking maximizing the on-time delivery quantity of orders and minimizing order delay as the optimization objectives,considering the unique transportation and switching constraints of full-automatic production line,the scheduling model of fullautomatic flexible production line was established.The effectiveness of the scheduling method which have modified the decoding method was verified by simulation.Finally,the main disturbance types in the two flexible manufacturing scenarios were analyzed,the basic scheduling mode based on sliding window technology was established,the cycle and event hybrid driving mode with screening mechanism was established,and the combined rescheduling method including tail insertion scheduling,complete rescheduling and right shift insertion rescheduling was established.The effectiveness of the dynamic scheduling strategy was verified by simulation.This thesis provides some basic ideas for the scheduling problem of hybrid flexible workshop and automatic flexible production line for manufacturing complex and precision parts of electronic products,and provides theoretical support for improving the applicability and stability of scheduling.
Keywords/Search Tags:Complex and Precision Parts of Electronic Products, Flexible Scheduling, Improved Competitive Particle Swarm Optimization, Dynamic Scheduling
PDF Full Text Request
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