Author： Prakash Anuj Deshmukh S.G.
Publisher： Inderscience Publishers
ISSN： 1748-5037
Source： International Journal of Industrial and Systems Engineering, Vol.8, Iss.1, 2011-06, pp. : 38-60
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Abstract
In this paper, an artificial immune system- (AIS-)based fuzzy expert system is developed for a flexible manufacturing system (FMS) to make the real-time decision in the randomly changing marketing and production environments. In FMS context, any direct mathematical relationship between system attributes and performance measures and their effect on controlling policy is not available. The novelty of the paper is that it makes a unique attempt to map an abstract relationship of system attributes with various performance measures. It also provides the estimation of the change required in the self-configured control policy of an FMS. The evolutionary algorithm AIS is used for searching the suboptimal rule base. The efficacy of the proposed system has been shown by an illustrative example.
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