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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhongzhong Jiang Dingwei Wang Ip, W.H. |
| Copyright Year | 2007 |
| Description | Author affiliation: Northeastern Univ., Shenyang (Zhongzhong Jiang) |
| Abstract | With respect to the customer characteristics of little demand, multi-commodity, and dispersed location, a fuzzy programming model is proposed to optimize the design of distribution centers for business-to-consumer (B2C) e-commerce, in which a hierarchical agglomerative clustering method is introduced to classify customers and estimate the unit weight fuzzy delivery cost from distribution centers to customers. Both commodity supplies and customer demands in the whole plan period are treated as fuzzy numbers. The model is nonlinear because of the scale-economy effect. Therefore, it is not easy to obtain the optimal solution with conventional methods. The problem is solved firstly, by converting it into a crisp model, followed by the implementation of a genetic algorithm with particle swarm optimization. The computational results on simulative examples have demonstrated the effectiveness and feasibility of the model and algorithm. |
| Starting Page | 1533 |
| Ending Page | 1539 |
| File Size | 270138 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424415311 |
| DOI | 10.1109/ICAL.2007.4338815 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Computational modeling fuzzy programming E-commerce particle swarm optimization Electronic commerce Particle swarm optimization distribution centers Genetic algorithms Design optimization genetic algorithm Design engineering Cost function Logistics Fuzzy systems |
| Content Type | Text |
| Resource Type | Article |
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