Multiobjective Optimization of Copper Coil Blanking Based on Niche Genetic Algorithm
The shear process of small batch and multivariety copper strip processing enterprises are the bottleneck of production, which often faces the contradiction between working efficiency (less tool changing) and yield (reducing geometric waste). The high yield of copper strip embryo is the core index of...
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| Published in | Journal of Engineering Vol. 2023; pp. 1 - 9 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Cairo
Hindawi
04.04.2023
John Wiley & Sons, Inc Wiley |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2314-4904 2314-4912 2314-4912 |
| DOI | 10.1155/2023/6103992 |
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| Abstract | The shear process of small batch and multivariety copper strip processing enterprises are the bottleneck of production, which often faces the contradiction between working efficiency (less tool changing) and yield (reducing geometric waste). The high yield of copper strip embryo is the core index of high yield and high benefit for enterprise. Less tool changing is a key step for high efficiency and fast product delivery in shear station. In this paper, we took the cutting production of the production management system as a research example in Hubei Lean High Precision Copper Strip Company when the system is developing. We used the penalty function to deal with the length floating constraint. Then, we established a multiobjective optimization model with the roll weight and the number of tool changing as the weights, which were calculated by an integrated weighting method. Three algorithms, namely, adaptive particle swarm optimization, niche genetic algorithm based on crowding, and niche genetic algorithm based on seed retention (NGA), were used to solve the problem. Through production examples, it was concluded that the solution solved by NGA has the highest utilization rate of the coil when the number of tool changing was as little as possible. This paper provides a new solution combining the efficiency and benefit for shear process in finished product delivery of copper strip processing enterprises. |
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| AbstractList | The shear process of small batch and multivariety copper strip processing enterprises are the bottleneck of production, which often faces the contradiction between working efficiency (less tool changing) and yield (reducing geometric waste). The high yield of copper strip embryo is the core index of high yield and high benefit for enterprise. Less tool changing is a key step for high efficiency and fast product delivery in shear station. In this paper, we took the cutting production of the production management system as a research example in Hubei Lean High Precision Copper Strip Company when the system is developing. We used the penalty function to deal with the length floating constraint. Then, we established a multiobjective optimization model with the roll weight and the number of tool changing as the weights, which were calculated by an integrated weighting method. Three algorithms, namely, adaptive particle swarm optimization, niche genetic algorithm based on crowding, and niche genetic algorithm based on seed retention (NGA), were used to solve the problem. Through production examples, it was concluded that the solution solved by NGA has the highest utilization rate of the coil when the number of tool changing was as little as possible. This paper provides a new solution combining the efficiency and benefit for shear process in finished product delivery of copper strip processing enterprises. |
| Audience | Academic |
| Author | Wei, Furong Li, Xuebing He, Di |
| Author_xml | – sequence: 1 givenname: Di orcidid: 0000-0003-0562-515X surname: He fullname: He, Di organization: Department of Statistical InformationLiyuan Hospital of Tongji Medical College of Huazhong University of Science and TechnologyWuhan 430077China – sequence: 2 givenname: Xuebing surname: Li fullname: Li, Xuebing organization: Department of Electronics and Information EngineeringHubei University of Automotive TechnologyShiyan 442002Chinahuat.edu.cn – sequence: 3 givenname: Furong surname: Wei fullname: Wei, Furong organization: China Mobile(Suzhou) Software Technology Co. Ltd.,Suzhou 215000China |
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| Copyright | Copyright © 2023 Di He et al. COPYRIGHT 2023 John Wiley & Sons, Inc. Copyright © 2023 Di He et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
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| References_xml | – ident: 11 doi: 10.1088/1755-1315/330/5/052038 – volume: 4 start-page: 103 year: 2018 ident: 4 article-title: Optimal design of rectangular layout based on rectangular mosaic with guillotine constraints[J] publication-title: Modern Manufacturing Engineering – volume: 10 year: 2018 ident: 14 article-title: Findings in the Area of Mathematics Reported from Qufu Normal University (An Objective Penalty Function-Based Method for Inequality Constrained Minimization Problem)[J] publication-title: Journal of Technology & Science – volume: 42 start-page: 13 issue: 2 year: 2021 ident: 1 article-title: Status quo and development trend of copper and copper alloy plate & strip products[J] publication-title: Nonferrous Metals Engineering & Research – volume-title: Collaborative Optimization Method for Batching and Packing in Customized Production of Plate Products[D] year: 2019 ident: 6 – volume: 24 start-page: 951 issue: 7 year: 2013 ident: 9 article-title: Research on Decision-making Method of One-dimensional Cutting Stock Problem Based on Multi-objective Optimization[J] publication-title: Chinese Journal of Mechanical Engineering – volume: 6 start-page: 86 year: 2020 ident: 3 article-title: Rule algorithms study for rectangle packing problem[J] publication-title: Modern Manufacturing Engineering – volume-title: On the Optimization of Cutting Process Reduce the Changeover Times year: 2020 ident: 7 – volume: 44 start-page: 46 issue: 9 year: 2019 ident: 10 article-title: Two-dimensional cutting stock algorithm of coil based on multi-segment layout[J] publication-title: Forging &Stamping Technology – volume-title: Research on the Niche and Parallel Genetic Algorithm[D] year: 2006 ident: 13 – volume: 13 start-page: 39 year: 2019 ident: 15 article-title: Advanced Genetic Algorithms and Engineering Applications publication-title: Journal of Northwestern University of Technology – volume: 1 start-page: 20 year: 2021 ident: 2 article-title: Based on the Factors Affecting the Yield of Medium and Thick Plate[J] publication-title: Metallurgy Management – volume: 43 start-page: 86 issue: 14 year: 2020 ident: 8 article-title: Multi-objective adaptive particle swarm algorithm optimization based on greedy strategy for one-dimension cutting stock problem[J] publication-title: Modern Electronics Technique – volume-title: Research on Rectangle Packing Problems with Guillotine Constraint[D] year: 2019 ident: 5 – volume-title: Collaborative Optimization Algorithm Study of Varietyraw Materials Two-Dimensional Blanking Based on Guillotine Cutting year: 2012 ident: 12 |
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| SubjectTerms | Adaptive algorithms Algorithms Blanking Copper Copper industry Copper products Design Efficiency Genetic algorithms Genetic research Mathematical optimization Multiple objective analysis Optimization algorithms Optimization models Particle swarm optimization Penalty function Production management Seeds Shear Strip Tool changing Weighting methods |
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| Title | Multiobjective Optimization of Copper Coil Blanking Based on Niche Genetic Algorithm |
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