Author(s): Satabda Chaudhuri, Krishnan LRK, Poorani S
The indispensable concerns we discovered concerning the key points, impacts and reasons for AI deployment in manufacturing industries are presented in this study. Through our questionnaire, we solicited 100 responses from leading manufacturing plants across 4 countries to assess the type of situations emerging owing to the implementation of AI in the manufacturing plants. The test findings revealed some intriguing trends in AI reliability. It has been proven that the evolution of AI is directly tied to the quality of employee decisionmaking for the improvement of industry performance. Aspects linked with errors in making instantaneous decisions may potentially impair the production line, in addition to issues about quality decision-making. Apart from that, there is a level of consistency associated with risks of using humans in decision-making in day-to-day management, which can raise serious issues for the company's long-term viability. The three hypotheses have been tested and provided conclusive evidence about the positive effects of the usage of AI in the manufacturing sector. A simple random sample drawn was tested on the SPSS platform and the findings collaborated with other scholarly research indicating the positive impact of AI in small manufacturing and improving productivity at the plant level