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Title:Application on multi-objective copper coil shearing scheduling based on time and cost constraints
Authors: Wei Furong Li Xuebing 
Unit: Hubei University of Automotive Technology 
KeyWords: coiled material two-dimensional cutting stock shearing  niche genetic algorithm  length fluctuation  productivity yield 
ClassificationCode:TP391
year,vol(issue):pagenumber:2023,48(2):250-256
Abstract:

 The shearing process is the production bottleneck faced by copper strip production enterprises in small batches and multiple varieties, and there is a contradiction between the number of tool changes and productivity yield. Therefore, for TP2 coopper strip coiled material, a multi-objective adaptive modified production scheduling model was established, and the input order, utilization rate, workload and working hours were modified by the improved niche genetic algorithm based on superior species reservation. Furthermore, the blanking was optimized, and the suitable scheduling plan group was generated. The experimental results show that compared with the genetically simulated annealing mixed algorithm and DNA calculation algorithm, the improved niche genetic algorithm based on superior species reservation has a better scheduling scheme, a shorter algorithm time, and a more realistic space for workers to choose that is more close to reality, which is of referential significance to solve the problems faced by the same industry in blanking efficiency and cost.

Funds:
教育部产学合作协同育人项目(202101355003);湖北省中央引导地方科技发展专项(2018ZYYD007)
AuthorIntro:
作者简介:魏芙蓉(1996-),女,硕士研究生,E-mail:15161185055@163.com;通信作者:李学兵(1970-),男,硕士,副教授,E-mail:490406916@qq.com
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