Setlak G. Intelligent decision support systems in production management in fuzzy conditions

In dissertational work the actual scientific problem of development of theoretical bases of designing and creation of the intelligent decision support systems in production management in fuzzy conditions is solved. New approach to designing of the intelligent decision support systems in the operations management in fuzzy conditions is proposed, based on integration of technologies of artificial intelligence (the fuzzy set theory and fuzzy logic, artificial neural networks, expert systems and genetic algorithms) with exact methods and models of search of decisions, and also simulation techniques. The proposed approach allows creating intelligent decision support system, providing the decision of complex, unstructured problems of management in the conditions of statistical and structural uncertainties, which learn by accumulated data and adapt to changes for conditions of operation. The software package implementation an intelligent decision support system (IDSS) in strategic management is designed. With usage of IDSS the practical problems of strategic management of industrial firm operating in conditions of market economy are solved. The application package of implementation of a CAAPP system (Computer Aided Assembly Process Planning), intended for support of decision making in problems of designing and planning in assembly systems is designed. The system provides the accelerated analysis of states of industrial processes and administrative decision-making and distinguished by high quality and flexibility.