Title: Modelling of FMS control policy: AIS-based fuzzy expert system
Author: Anuj Prakash, S.G. Deshmukh
Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India.
ABV-IIITM, Gwalior, Madhya Pradesh, India and Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India
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.
Keywords: FMS control; flexible manufacturing systems; AIS; artificial immune systems; fuzzy logic; fuzzy expert systems; control policy; modelling; system attributes; performance measures.
Int. J. of Industrial and Systems Engineering, 2011 Vol.8, No.1, pp.38 - 60
Available online: 23 Jun 2011