Building an ontological information-analytical system to manage quality of double-glazed windows in the production of solar panels

Abstract

This paper reports an ontological approach to designing intelligent decision support to control the quality of multi-layered dou-ble-glazed windows within the framework of a virtual instrument-building enterprise (VIE) that produces solar energy complexes. It is shown that improving the efficiency in solving the tasks related to managing the quality of VIE products necessitates the application of an ontological engineering toolset to create a unified knowledge space that would cover the manufacturing phase of a product’s life cycle. The methodical basis for making an ontological information-analytical system (OIAS) to manage product quality was the tool plat-form “TODOS” (Ukraine) whose means were used to synthesize a set of ontological models that make up the intelligent core of OIAS. The OIAS knowledge-based inference procedure has been described when making a decision about a deviation in the manufacturing pro-cess that led to the emergence of damage.