Task Decomposition Based on Cloud Manufacturing Platform
As a new service-oriented manufacturing paradigm, cloud manufacturing (CMfg) realizes the optimal allocation of resources in the product manufacturing process through the network. Task decomposition is a key problem of the CMfg system for resource scheduling. A high-quality task decomposition method...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Symmetry |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-8994/13/8/1311 |
| _version_ | 1797522041834831872 |
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| author | Yanjuan Hu Ziyu Zhang Jinwu Wang Zhanli Wang Hongliang Liu |
| author_facet | Yanjuan Hu Ziyu Zhang Jinwu Wang Zhanli Wang Hongliang Liu |
| author_sort | Yanjuan Hu |
| collection | DOAJ |
| description | As a new service-oriented manufacturing paradigm, cloud manufacturing (CMfg) realizes the optimal allocation of resources in the product manufacturing process through the network. Task decomposition is a key problem of the CMfg system for resource scheduling. A high-quality task decomposition method can shorten product development time, reduce costs for resource service providers, and provide technical support for the application of CMfg. However, a cloud manufacturing system has to manage the allocation the correct amount of manufacturing resources, complex production processes, and highly dynamic production environments. At the same time, the tasks issued by service demanders are usually asymmetric and tightly coupled. We solve the complex task decomposition problem by using the traditional methods, that are hard to complete in CMfg. To overcome the shortcomings of CMfg, this paper proposed a task decomposition method based on the cloud platform. For achieving modular production, this approach creatively divides the product production process into four stages: design, manufacturing, transportation, and maintenance. Then a hybrid method, which combines with depth-first search algorithm, fast modular optimization algorithm, and artificial bee colony algorithm, is introduced. The method can obtain a multi-stage task optimization decomposition plan in CMfg. Simulation results demonstrate the proposed method can achieve complex task optimization decomposition in a CMfg environment. |
| first_indexed | 2024-03-10T08:21:02Z |
| format | Article |
| id | doaj.art-efd9b88dfadb4d7b83f93a413aee0496 |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-03-10T08:21:02Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-efd9b88dfadb4d7b83f93a413aee04962023-11-22T09:59:12ZengMDPI AGSymmetry2073-89942021-07-01138131110.3390/sym13081311Task Decomposition Based on Cloud Manufacturing PlatformYanjuan Hu0Ziyu Zhang1Jinwu Wang2Zhanli Wang3Hongliang Liu4School of Mechatronic Engineering, Changchun University of Technology, Changchun 130012, ChinaSchool of Mechatronic Engineering, Changchun University of Technology, Changchun 130012, ChinaSchool of Mechatronic Engineering, Changchun University of Technology, Changchun 130012, ChinaSchool of Mechatronic Engineering, Changchun University of Technology, Changchun 130012, ChinaSchool of Mechatronic Engineering, Changchun University of Technology, Changchun 130012, ChinaAs a new service-oriented manufacturing paradigm, cloud manufacturing (CMfg) realizes the optimal allocation of resources in the product manufacturing process through the network. Task decomposition is a key problem of the CMfg system for resource scheduling. A high-quality task decomposition method can shorten product development time, reduce costs for resource service providers, and provide technical support for the application of CMfg. However, a cloud manufacturing system has to manage the allocation the correct amount of manufacturing resources, complex production processes, and highly dynamic production environments. At the same time, the tasks issued by service demanders are usually asymmetric and tightly coupled. We solve the complex task decomposition problem by using the traditional methods, that are hard to complete in CMfg. To overcome the shortcomings of CMfg, this paper proposed a task decomposition method based on the cloud platform. For achieving modular production, this approach creatively divides the product production process into four stages: design, manufacturing, transportation, and maintenance. Then a hybrid method, which combines with depth-first search algorithm, fast modular optimization algorithm, and artificial bee colony algorithm, is introduced. The method can obtain a multi-stage task optimization decomposition plan in CMfg. Simulation results demonstrate the proposed method can achieve complex task optimization decomposition in a CMfg environment.https://www.mdpi.com/2073-8994/13/8/1311cloud manufacturingasymmetrictask decompositiondepth first searchfast modularartificial bee colony |
| spellingShingle | Yanjuan Hu Ziyu Zhang Jinwu Wang Zhanli Wang Hongliang Liu Task Decomposition Based on Cloud Manufacturing Platform Symmetry cloud manufacturing asymmetric task decomposition depth first search fast modular artificial bee colony |
| title | Task Decomposition Based on Cloud Manufacturing Platform |
| title_full | Task Decomposition Based on Cloud Manufacturing Platform |
| title_fullStr | Task Decomposition Based on Cloud Manufacturing Platform |
| title_full_unstemmed | Task Decomposition Based on Cloud Manufacturing Platform |
| title_short | Task Decomposition Based on Cloud Manufacturing Platform |
| title_sort | task decomposition based on cloud manufacturing platform |
| topic | cloud manufacturing asymmetric task decomposition depth first search fast modular artificial bee colony |
| url | https://www.mdpi.com/2073-8994/13/8/1311 |
| work_keys_str_mv | AT yanjuanhu taskdecompositionbasedoncloudmanufacturingplatform AT ziyuzhang taskdecompositionbasedoncloudmanufacturingplatform AT jinwuwang taskdecompositionbasedoncloudmanufacturingplatform AT zhanliwang taskdecompositionbasedoncloudmanufacturingplatform AT hongliangliu taskdecompositionbasedoncloudmanufacturingplatform |