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Machine-tool selection and operation allocation in FMS: solving a fuzzy goal-programming model using a genetic algorithm

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.

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Official URL: http://www.tandfonline.com/doi/abs/10.1080/0020754...

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
Additional Information: Copyright of this article belongs to Taylor and Francis Group.
Department/Centre: Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)
Date Deposited: 20 Jul 2011 05:06
Last Modified: 20 Jul 2011 05:06
URI: http://eprints.iisc.ernet.in/id/eprint/39266

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