Development of A Method of Providing Ergonomics of A Web-interface for Customers of A Virtual Instrument-making Enterprise with Limited Physical Capabilities

A method has been developed and implemented to ensure the ergonomics of using the Web interface for customers of a virtual instrument-making enterprise with limited capabilities through the use of expert systems. The essence of this method is to supplement the dialog component of the Information and Analytical Portal (IAP) with a specialized shell of the expert system (ES), which, being filled with knowledge about the limited capabilities of users caused by various pathologies, makes it possible to adapt the interface in the dialogue to the capabilities of a particular user. implementations of this solution method are fully consistent with the results obtained using the principles of interface improvement. However, due to the use in this synthesis method of various approaches to the technology of expert systems development, additional opportunities open up in solving the problem of providing the convenience of using the interface for customers with limited capabilities. When using the proposed method, it becomes possible to simplify the procedure of interaction "man-machine", to solve the problems of people with disabilities, to increase the volume of consumers who have access to advanced information technologies. These facts, confirmed by the results of numerical modeling, showed the effectiveness of the presented method and an individual approach to users with disabilities. The software implementation of the logical-linguistic hierarchical model on the example of “strong myopia” with the help of the production shell ES is proposed and substantiated. As the initial data, information about hardware was used, the use of which, in appropriate cases, will make it possible to increase the ergonomics of the IAP for users with disabilities

Building an Ontological Information-analytical System to Manage Quality of Double-glazed Windows in the Production of Solar Panels

This paper reports an ontological approach to designing intelligent decision support to control the quality of multi-layered double-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 platform "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 process that led to the emergence of damage. This procedure implies the implementation of direct and reverse inference based on the knowledge in the ontological environment and makes it possible to identify the sources of defects and damage and generate a solution to eliminating these sources. Procedures have been devised to assess the effectiveness of the development and application of OIAS to automate the quality management of multi-layered double-glazed windows. These procedures employ a set of indicators that reflect both the technical and economic components of the quality control process. It has been shown that during 2019 a typical subcontractor enterprise that applied the developed system managed to reduce the number of defective products by about 73 %. Further research areas have been identified, including the development of methodical means and, based on them, the toolsets for the deployment of industrial ontological quality management system