|
The purpose of this article is to propose a fuzzy logic system as a tool for automated risk identification of potential
technical challenges and social barriers during the implementation of artificial intelligence-based co-bots on work-
stations in manufacturing enterprises. On the basis of an extensive literature review, as well as industry reports and
expert consultations, the basic challenges and enterprise barriers occurring during the implementation of changes
in enterprises, especially during the implementation of the latest technologies, were selected. A fuzzy logic model
was then developed that, based on the values of the input factors, generates an answer as to whether there is a risk
of technical or social challenges in an enterprise when implementing the latest technologies. The results generated
by the developed model, when confronted with expert knowledge, experience and subjective assessments, showed
that the model works as expected. The results of the study suggest that the use of fuzzy logic can effectively sup-
port companies in detecting challenges and obstacles, thereby facilitating decision-making in reducing the risk of
their occurrence. Adaptation to the conditions currently prevailing in the company allows for dynamic adjustment
of co-bot deployment strategies, which in turn can lead to more effective management of technological changes
and minimization of potential operational disruptions.
|
