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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jiang Zhaoliang Liu Wenping Xuanyuan Sisi |
| Copyright Year | 2010 |
| Description | Author affiliation: Shandong Academy of Information & Communication Technology, Jinan, 250101, China (Xuanyuan Sisi) || School of Mechanical Engineering, Shandong University, Jinan, 250061, China (Jiang Zhaoliang; Liu Wenping) |
| Abstract | Product configuration solution is a critical problem significantly affecting production efficiency, cost and the lead time. It plays an important role for enterprises to sharpen their cutting edge under mass customerization manufacturing mode. But configuration optimization without considering assembly sequencing is difficult to get global optimization. In this paper, a new multi-objective genetic algorithm for product configuration optimization based on assembly sequencing is proposed to meet the manufacturing requirements by considering impactive cost, lead time, inventory storage and assembly sequencing. It extends the products configuration optimization from design stage to assembly manufacturing stage. By means of this research, the valid solutions for products configuration optimization can be offered to the decision makers effectively. |
| Starting Page | 5343 |
| Ending Page | 5348 |
| File Size | 254049 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424462636 |
| e-ISBN | 9787894631046 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Chinese Association of Aut |
| Subject Keyword | Multi-objective Optimization Production Assembly Sequencing Workstations Product Configuration Optimization Assembly Equations Manganese |
| Content Type | Text |
| Resource Type | Article |
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