Scheduling of Changes in Complex Engineering Design Process via Genetic Algorithm and Elementary Effects Method
Engineering design changes constantly occur in a complex engineering design process. Designers have to put an appropriate procedure in place to handle these changes in order to realize successful product development in a timely and cost-effective manner. When many change propagation paths are presen...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2014-06-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1155/2014/169097 |
| _version_ | 1818536662041362432 |
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| author | Yuliang Li Wei Zhao Yongsheng Ma Lichen Hu |
| author_facet | Yuliang Li Wei Zhao Yongsheng Ma Lichen Hu |
| author_sort | Yuliang Li |
| collection | DOAJ |
| description | Engineering design changes constantly occur in a complex engineering design process. Designers have to put an appropriate procedure in place to handle these changes in order to realize successful product development in a timely and cost-effective manner. When many change propagation paths are present, selection of the best change evolution paths and distribution of change results to downstream tasks become critical to the progress management of the project. In this paper, based on the available change propagation simulation algorithm, a global sensitivity analysis method known as elementary effects (EE) is employed to rank the importance of each potential propagation path with those involved design dependencies in the process. Further, an EE-based heuristic design dependency encoding method is applied to the genetic algorithm which is then adopted to schedule the change updating process. Finally, the optimal results obtained by the complete search and the heuristic dependency encoding methods are compared to illustrate the improvements and effectiveness of the latter method. |
| first_indexed | 2024-12-11T18:40:50Z |
| format | Article |
| id | doaj.art-6f65b3e73179431b90e7285db26008d2 |
| institution | Directory Open Access Journal |
| issn | 1687-8132 |
| language | English |
| last_indexed | 2024-12-11T18:40:50Z |
| publishDate | 2014-06-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-6f65b3e73179431b90e7285db26008d22022-12-22T00:54:38ZengSAGE PublishingAdvances in Mechanical Engineering1687-81322014-06-01610.1155/2014/16909710.1155_2014/169097Scheduling of Changes in Complex Engineering Design Process via Genetic Algorithm and Elementary Effects MethodYuliang Li0Wei Zhao1Yongsheng Ma2Lichen Hu3 The State Key Lab of CAD&CG, Zhejiang University, 38 Zheda Road, Hangzhou, Zhejiang 310027, China Department of Foreign Language, Zhejiang University of Finance and Economics, 18 Xueyuan Street, Hangzhou, Zhejiang 310018, China Department of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada, T6G 2G8 China North Vehicle Research Institute, Mailbox 969-11, Beijing 100072, ChinaEngineering design changes constantly occur in a complex engineering design process. Designers have to put an appropriate procedure in place to handle these changes in order to realize successful product development in a timely and cost-effective manner. When many change propagation paths are present, selection of the best change evolution paths and distribution of change results to downstream tasks become critical to the progress management of the project. In this paper, based on the available change propagation simulation algorithm, a global sensitivity analysis method known as elementary effects (EE) is employed to rank the importance of each potential propagation path with those involved design dependencies in the process. Further, an EE-based heuristic design dependency encoding method is applied to the genetic algorithm which is then adopted to schedule the change updating process. Finally, the optimal results obtained by the complete search and the heuristic dependency encoding methods are compared to illustrate the improvements and effectiveness of the latter method.https://doi.org/10.1155/2014/169097 |
| spellingShingle | Yuliang Li Wei Zhao Yongsheng Ma Lichen Hu Scheduling of Changes in Complex Engineering Design Process via Genetic Algorithm and Elementary Effects Method Advances in Mechanical Engineering |
| title | Scheduling of Changes in Complex Engineering Design Process via Genetic Algorithm and Elementary Effects Method |
| title_full | Scheduling of Changes in Complex Engineering Design Process via Genetic Algorithm and Elementary Effects Method |
| title_fullStr | Scheduling of Changes in Complex Engineering Design Process via Genetic Algorithm and Elementary Effects Method |
| title_full_unstemmed | Scheduling of Changes in Complex Engineering Design Process via Genetic Algorithm and Elementary Effects Method |
| title_short | Scheduling of Changes in Complex Engineering Design Process via Genetic Algorithm and Elementary Effects Method |
| title_sort | scheduling of changes in complex engineering design process via genetic algorithm and elementary effects method |
| url | https://doi.org/10.1155/2014/169097 |
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