| Article ID: | iaor2000764 |
| Country: | South Korea |
| Volume: | 23 |
| Issue: | 3 |
| Start Page Number: | 123 |
| End Page Number: | 133 |
| Publication Date: | Sep 1998 |
| Journal: | Journal of the Korean ORMS Society |
| Authors: | Moon Chi-Ung, Kim Jae-Gyun |
| Keywords: | genetic algorithms |
A cell design model based on operation sequence is proposed for maximizing the total parts flow within cells considering the data of process plans for parts, production volume, and cell size. A relationship between machines is calculated on the basis of the process plans for parts obtained from process plan sheets. Then the machines are classified into machine cells using the relationship. The model is formulated as a 0–1 integer programming and a genetic algorithm approach is developed to solve the model. The developed approach is tested and proved using actual industrial data. Experimental results indicate that the approach is appropriate for large-size cell design problems efficiently.