Dynamic Bottleneck Identification of Manufacturing Resources in Complex Manufacturing System
Bottleneck identification is of great interest in discrete manufacturing fields, as they limit the system’s throughput. However, the bottlenecks are difficult to accurately identify due to the instability and complexity of discrete manufacturing systems. This paper proposes a dynamic bottleneck iden...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/9/4195 |
| _version_ | 1797505772013223936 |
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| author | Xuan Su Jingyu Lu Chen Chen Junjie Yu Weixi Ji |
| author_facet | Xuan Su Jingyu Lu Chen Chen Junjie Yu Weixi Ji |
| author_sort | Xuan Su |
| collection | DOAJ |
| description | Bottleneck identification is of great interest in discrete manufacturing fields, as they limit the system’s throughput. However, the bottlenecks are difficult to accurately identify due to the instability and complexity of discrete manufacturing systems. This paper proposes a dynamic bottleneck identification method (DBI-BS) that is based on effective buffers and fine-grained machine states to identify bottlenecks accurately. First, the complex manufacturing system (CMS) with strong coupling between elements is decoupled into several independent parts under the guidance of the effective buffer theory. Then, the machine activity duration method is improved through further fine-grained division, and the machine states are described by the timing flow model. The method to quantify the degree of bottleneck that restricts the system throughput (TH) is proposed on the basis of the turning point theory, and the one-to-one mapping relationship between the simulated and authentic complex manufacturing systems is also studied. Simulation results show that the DBI-BS can effectively identify dynamic bottlenecks in complex manufacturing processes, and the decoupling of complex systems can effectively improve the accuracy of dynamic bottleneck identification. |
| first_indexed | 2024-03-10T04:23:02Z |
| format | Article |
| id | doaj.art-96bf6d1e124a4fc0abe6c5a8cae2f7d9 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T04:23:02Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-96bf6d1e124a4fc0abe6c5a8cae2f7d92023-11-23T07:45:35ZengMDPI AGApplied Sciences2076-34172022-04-01129419510.3390/app12094195Dynamic Bottleneck Identification of Manufacturing Resources in Complex Manufacturing SystemXuan Su0Jingyu Lu1Chen Chen2Junjie Yu3Weixi Ji4School of Mechanical Engineering, Jiangnan University, Wuxi 214122, ChinaSchool of Mechanical Engineering, Jiangnan University, Wuxi 214122, ChinaSchool of Mechanical Engineering, Jiangnan University, Wuxi 214122, ChinaSchool of Mechanical Engineering, Jiangnan University, Wuxi 214122, ChinaSchool of Mechanical Engineering, Jiangnan University, Wuxi 214122, ChinaBottleneck identification is of great interest in discrete manufacturing fields, as they limit the system’s throughput. However, the bottlenecks are difficult to accurately identify due to the instability and complexity of discrete manufacturing systems. This paper proposes a dynamic bottleneck identification method (DBI-BS) that is based on effective buffers and fine-grained machine states to identify bottlenecks accurately. First, the complex manufacturing system (CMS) with strong coupling between elements is decoupled into several independent parts under the guidance of the effective buffer theory. Then, the machine activity duration method is improved through further fine-grained division, and the machine states are described by the timing flow model. The method to quantify the degree of bottleneck that restricts the system throughput (TH) is proposed on the basis of the turning point theory, and the one-to-one mapping relationship between the simulated and authentic complex manufacturing systems is also studied. Simulation results show that the DBI-BS can effectively identify dynamic bottlenecks in complex manufacturing processes, and the decoupling of complex systems can effectively improve the accuracy of dynamic bottleneck identification.https://www.mdpi.com/2076-3417/12/9/4195complex manufacturing systemeffective buffersfine-grained statesdynamic bottlenecksIndustry 4.0discrete simulation |
| spellingShingle | Xuan Su Jingyu Lu Chen Chen Junjie Yu Weixi Ji Dynamic Bottleneck Identification of Manufacturing Resources in Complex Manufacturing System Applied Sciences complex manufacturing system effective buffers fine-grained states dynamic bottlenecks Industry 4.0 discrete simulation |
| title | Dynamic Bottleneck Identification of Manufacturing Resources in Complex Manufacturing System |
| title_full | Dynamic Bottleneck Identification of Manufacturing Resources in Complex Manufacturing System |
| title_fullStr | Dynamic Bottleneck Identification of Manufacturing Resources in Complex Manufacturing System |
| title_full_unstemmed | Dynamic Bottleneck Identification of Manufacturing Resources in Complex Manufacturing System |
| title_short | Dynamic Bottleneck Identification of Manufacturing Resources in Complex Manufacturing System |
| title_sort | dynamic bottleneck identification of manufacturing resources in complex manufacturing system |
| topic | complex manufacturing system effective buffers fine-grained states dynamic bottlenecks Industry 4.0 discrete simulation |
| url | https://www.mdpi.com/2076-3417/12/9/4195 |
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