Intelligent Scheduling of a Pulsating Assembly Flow Shop Considering a Multifunctional Automated Guided Vehicle
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| Publicat a: | Applied Sciences vol. 15, no. 5 (2025), p. 2593 |
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| Autor principal: | |
| Altres autors: | , , , |
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MDPI AG
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| Accés en línia: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 001 | 3176306853 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2076-3417 | ||
| 024 | 7 | |a 10.3390/app15052593 |2 doi | |
| 035 | |a 3176306853 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231338 |2 nlm | ||
| 100 | 1 | |a Song, Hailong |u Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China; <email>songhailong@sia.cn</email> (H.S.); <email>jywang@sia.cn</email> (J.W.); <email>zgxu@sia.cn</email> (Z.X.); University of Chinese Academy of Sciences, Beijing 100049, China | |
| 245 | 1 | |a Intelligent Scheduling of a Pulsating Assembly Flow Shop Considering a Multifunctional Automated Guided Vehicle | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The pulsating assembly line is widely used in modern manufacturing, particularly in high-precision industries such as aerospace, where it greatly enhances production efficiency. To achieve overall optimization, both product scheduling and Automated Guided Vehicle (AGV) scheduling must be simultaneously optimized. However, existing research predominantly focuses on product scheduling, with limited attention given to AGV scheduling. This paper proposes an optimized solution for the pulsating assembly line scheduling problem, incorporating multifunctional AGV scheduling. A mathematical model is developed and three AGV selection strategies and three AGV standby strategies are designed to optimize AGV scheduling and control. To improve scheduling efficiency, nine heuristic strategies are introduced, along with the Variable Neighborhood Descent (VND) algorithm as a metaheuristic method for product scheduling. The VND algorithm refines the solution through multiple neighborhood searches, enhancing both the precision and efficiency of product scheduling. Our experimental results demonstrate that the proposed strategies significantly improve the production efficiency of pulsating assembly workshops, reduce AGV scheduling costs, and optimize overall production workflows. This study offers novel methods for intelligent scheduling in pulsating assembly workshops, contributing to the advancement of manufacturing toward “multiple varieties, small batches, and customization”. | |
| 653 | |a Scheduling | ||
| 653 | |a Design | ||
| 653 | |a Job shops | ||
| 653 | |a Linear programming | ||
| 653 | |a Production planning | ||
| 653 | |a Deep learning | ||
| 653 | |a Assembly lines | ||
| 653 | |a Algorithms | ||
| 653 | |a Automation | ||
| 653 | |a Manufacturing | ||
| 653 | |a Mathematical models | ||
| 653 | |a Optimization | ||
| 653 | |a Efficiency | ||
| 700 | 1 | |a Yang, Shengluo |u School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; <email>yinshuoxin1223@163.com</email> | |
| 700 | 1 | |a Yin, Shuoxin |u School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; <email>yinshuoxin1223@163.com</email> | |
| 700 | 1 | |a Wang, Junyi |u Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China; <email>songhailong@sia.cn</email> (H.S.); <email>jywang@sia.cn</email> (J.W.); <email>zgxu@sia.cn</email> (Z.X.) | |
| 700 | 1 | |a Xu, Zhigang |u Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China; <email>songhailong@sia.cn</email> (H.S.); <email>jywang@sia.cn</email> (J.W.); <email>zgxu@sia.cn</email> (Z.X.) | |
| 773 | 0 | |t Applied Sciences |g vol. 15, no. 5 (2025), p. 2593 | |
| 786 | 0 | |d ProQuest |t Publicly Available Content Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3176306853/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3176306853/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3176306853/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |