Rai, R and Kameshwaran, S and Tiwari, MK (2002) Machine-tool selection and operation allocation in FMS: solving a fuzzy goal-programming model using a genetic algorithm. In: International Journal of Production Research, 40 (3). pp. 641-665.
Full text not available from this repository. (Request a copy)Abstract
The decision-making process for machine-tool selection and operation allocation in a flexible manufacturing system (FMS) usually involves multiple conflicting objectives. Thus, a fuzzy goal-programming model can be effectively applied to this decision problem. The paper addresses application of a fuzzy goal-programming concept to model the problem of machine-tool selection and operation allocation with explicit considerations given to objectives of minimizing the total cost of machining operation, material handling and set-up. The constraints pertaining to the capacity of machines, tool magazine and tool life are included in the model. A genetic algorithm (GA)-based approach is adopted to optimize this fuzzy goal-programming model. An illustrative example is provided and some results of computational experiments are reported.
| Item Type: | Journal Article |
|---|---|
| Publication: | International Journal of Production Research |
| Publisher: | Taylor and Francis Group |
| Additional Information: | Copyright of this article belongs to Taylor and Francis Group. |
| Department/Centre: | Division of Electrical Sciences > Computer Science & Automation |
| Date Deposited: | 20 Jul 2011 05:06 |
| Last Modified: | 20 Jul 2011 05:06 |
| URI: | http://eprints.iisc.ac.in/id/eprint/39266 |
Actions (login required)
 |
View Item |
