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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhengying Cai Hanwei Fang Renbin Xiao Rong Xin |
| Copyright Year | 2009 |
| Description | Author affiliation: Institute of Systems Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China (Hanwei Fang; Renbin Xiao) || Information Technology Center, China Three Gorges University, Yichang, Hubei 443002, China (Zhengying Cai; Rong Xin) |
| Abstract | A closed-loop supply chain operation integrating forward and reverse supplies, productions and distributions are established here based on the control engineering theory, and the status equations and mathematical model of supply chain planning and operation with existed uncertainties are analyzed also. To integrate the uncertain forward and reverse supply chain planning information, a fuzzy adaptive planning strategy based on genetic algorithm is designed, where the information of demand, purchasing, recovery, inventory and production is fuzzy. The program uses fuzzy adaptive genetic algorithm to optimize fuzzy rule table, so planning parameters can be changed with the supply chain operation and be self-adjusted according to fuzzy rules to improve the static and dynamic performance characteristics of the system. Finally, a closed-loop operation case is analyzed for authentication. |
| Starting Page | 1474 |
| Ending Page | 1478 |
| File Size | 654647 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424448692 |
| DOI | 10.1109/IEEM.2009.5373071 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Uncertainty adaptive genetic algorithm closed-loop supply chain Supply chains Strategic planning Equations Fuzzy planning Genetic algorithms Control engineering product recycle Production planning Mathematical model Fuzzy systems |
| Content Type | Text |
| Resource Type | Article |
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