Development of the temporal knowledge representation model for computer support of consumer goodd production processes at multi-nomenclature machine-building enterprise

Abstract

The object of research is the processes associated with the organization of the production of consumer goods (CG) at the multi-nomenclature machine-building enterprise (MME). These processes are considered in the aspect of automating the production of consumer goods by creating a special model of knowledge about the current state of production processes. One of the most problematic issues is the complex automation of combined processes for the production of basic products and CGs at MMEs. The solution of this question required the improvement of the formal apparatus for modeling time dependencies. In the course of the research, discrete mathematics methods, in particular set theory and mathematical logic, are used, as well as tools that are known in knowledge engineering, in particular production systems.

A temporal model of knowledge and technology is combined with the knowledge base of the decision support system. The peculiarity of this model is the possibility of adequate reflection of asynchrony and parallelism, which is inherent in the processes of CGs production at MMEs. The overall effect of the implementation of the developed model of knowledge will be achieved by reducing the incidence of disruptions in the production program, preserving the professional knowledge of experienced MME specialists in the production of consumer goods. In addition, the use of the temporal knowledge model as part of the intellectual core of the decision support system will ensure the reduction of the MME costs in the organization of production of consumer goods.