Optimization Processes in Automotive Logistic Flow
This paper presents a logistic flow of assembling automotive rear axles. The product is presented in detail starting from the detailed research and analysis of relevant documentation about its functionality, including the manufacturing logistic flow diagram and the required equipment for the product...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/21/10064 |
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| author | Cicerone Laurentiu Popa Floarea-Loredana Seileanu Costel Emil Cotet Florina Chiscop Constantin-Adrian Popescu |
| author_facet | Cicerone Laurentiu Popa Floarea-Loredana Seileanu Costel Emil Cotet Florina Chiscop Constantin-Adrian Popescu |
| author_sort | Cicerone Laurentiu Popa |
| collection | DOAJ |
| description | This paper presents a logistic flow of assembling automotive rear axles. The product is presented in detail starting from the detailed research and analysis of relevant documentation about its functionality, including the manufacturing logistic flow diagram and the required equipment for the product manufacturing and assembly. This study is focused on optimizing the logistic flow for the manufacturing and assembly of automotive rear axles using WITNESS Horizon for system modeling and simulation in order to conduct system diagnostics, identify problems, and find solutions that will facilitate the optimization process. The study included a comprehensive assessment of the logistic flow, highlighting the performance of the equipment involved and identifying potential bottlenecks. Using the results obtained after the simulations, the Simplex linear mathematical method was applied to maximize production efficiency and profitability, considering the suppliers’ capacity constraints and the components’ delivery requirements. The results demonstrated a significantly optimized rear-axle production process, with increased profitability and improved productivity by eliminating identified bottlenecks. This research contributes to a deeper understanding of the complexities within the automotive industry and provides a solid foundation for continuously improving manufacturing and assembly processes. |
| format | Article |
| id | doaj-art-6a5271d55e954e00b91b79f9b45f9c02 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-6a5271d55e954e00b91b79f9b45f9c022024-11-08T14:34:18ZengMDPI AGApplied Sciences2076-34172024-11-0114211006410.3390/app142110064Optimization Processes in Automotive Logistic FlowCicerone Laurentiu Popa0Floarea-Loredana Seileanu1Costel Emil Cotet2Florina Chiscop3Constantin-Adrian Popescu4Robots and Production System Department, National University of Science and Technology POLITEHNICA Bucharest, Splaiul Independenței 313, 060041 Bucharest, RomaniaRobots and Production System Department, National University of Science and Technology POLITEHNICA Bucharest, Splaiul Independenței 313, 060041 Bucharest, RomaniaRobots and Production System Department, National University of Science and Technology POLITEHNICA Bucharest, Splaiul Independenței 313, 060041 Bucharest, RomaniaRobots and Production System Department, National University of Science and Technology POLITEHNICA Bucharest, Splaiul Independenței 313, 060041 Bucharest, RomaniaRobots and Production System Department, National University of Science and Technology POLITEHNICA Bucharest, Splaiul Independenței 313, 060041 Bucharest, RomaniaThis paper presents a logistic flow of assembling automotive rear axles. The product is presented in detail starting from the detailed research and analysis of relevant documentation about its functionality, including the manufacturing logistic flow diagram and the required equipment for the product manufacturing and assembly. This study is focused on optimizing the logistic flow for the manufacturing and assembly of automotive rear axles using WITNESS Horizon for system modeling and simulation in order to conduct system diagnostics, identify problems, and find solutions that will facilitate the optimization process. The study included a comprehensive assessment of the logistic flow, highlighting the performance of the equipment involved and identifying potential bottlenecks. Using the results obtained after the simulations, the Simplex linear mathematical method was applied to maximize production efficiency and profitability, considering the suppliers’ capacity constraints and the components’ delivery requirements. The results demonstrated a significantly optimized rear-axle production process, with increased profitability and improved productivity by eliminating identified bottlenecks. This research contributes to a deeper understanding of the complexities within the automotive industry and provides a solid foundation for continuously improving manufacturing and assembly processes.https://www.mdpi.com/2076-3417/14/21/10064logistic flowmanufacturing and assemblyoptimizationrear axle of motor vehicle |
| spellingShingle | Cicerone Laurentiu Popa Floarea-Loredana Seileanu Costel Emil Cotet Florina Chiscop Constantin-Adrian Popescu Optimization Processes in Automotive Logistic Flow Applied Sciences logistic flow manufacturing and assembly optimization rear axle of motor vehicle |
| title | Optimization Processes in Automotive Logistic Flow |
| title_full | Optimization Processes in Automotive Logistic Flow |
| title_fullStr | Optimization Processes in Automotive Logistic Flow |
| title_full_unstemmed | Optimization Processes in Automotive Logistic Flow |
| title_short | Optimization Processes in Automotive Logistic Flow |
| title_sort | optimization processes in automotive logistic flow |
| topic | logistic flow manufacturing and assembly optimization rear axle of motor vehicle |
| url | https://www.mdpi.com/2076-3417/14/21/10064 |
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