Abstract:

The Industry 4.0 solutions have capabilities of enriching the labor of the 4.0 operator, so they are perceived as the ergonomic interventions. According to the analysis of technological processes (TP) in a world-class organization of manufacturing, the complexity of human-machine-environment (HME) systems contributes to the occurrence of ergonomic factors adversely affecting the efficiency of the pursued tasks. In this context, it is important to develop the proper methodology for comprehensive determination of the ergonomic intervention scope within the 4.0 Industry, as well as the artificial intelligence systems taking into account the impact of ergonomic interventions within the 4.0 Industry. The purpose of this papers is the holistic approach into the TP ergonomics intervention management, within the 4.0 Industry. The result of such considerations is the holistic model determining the scope of ergonomic interventions within the I 4.0, as well as the example of the Hybrid Expert System (HES), in order to determine the scope of ergonomic interventions on the operational level of organization (microeconomy), with its subsequent integration with superior levels of the ergonomic intervention management. When reaching the settled goal, the following was detailed in the papers: ergonomic intervention types and examples, the levels and stages of their implementation, the areas and states of their impact, i.e. resulting from the route of technological lines, the selection criteria and their implementation approaches. The selected results of the relationship between the preferential variables of users under research with resource deficits (lacking capabilities) and the properties of manual control devices, are also presented. The obtained results demonstrate differentiation of the preferred device properties in relation to the preferences (age, anthropometric features and health ailments) of the group of people under research. The test results were implemented into the HSE inference model and validated, and nearly 80% factor of the system was obtained.