| Article ID: | iaor20081732 |
| Country: | China |
| Volume: | 36 |
| Issue: | 5 |
| Start Page Number: | 65 |
| End Page Number: | 72 |
| Publication Date: | May 2006 |
| Journal: | Mathematics in Practice and Theory |
| Authors: | Zhao Jianhua, Guo Zengxiao, Liu Xuejun, Sun Na |
| Keywords: | production: JIT, heuristics: genetic algorithms |
Production planning with fuzzy demands is described, and three types of fuzzy programming model are proposed. For solving these fuzzy models, fuzzy simulation and genetic algorithm are integrated to produce a hybrid intelligent algorithm, and a numerical example is given to illustrate its effectiveness.