ARTIFICIAL INTELLIGENCE AND OPERATIONAL EFFICIENCY OF LAFARGE CEMENT COMPANY PLC, AKPABUYO CROSS RIVER STATE, NIGERIA

Abstract

Artificial intelligence enhances operational performance in cement companies in Nigeria by optimizing production processes, reducing energy consumption, and improving predictive maintenance for machinery. Therefore, this study focused on the nexus between artificial intelligence and operational performance in Lafarge Cement Company Plc, Akpabuyo, and Cross River State, Nigeria. Specifically, the study examined the relationship between the robotic automation process and operational efficiency. The study adopted a survey research design. The population comprises the top management cadre (64) and the middle management (108). Convenience sampling techniques and Taro Yamenes’ formula were used to determine the sample of 120. With the aid of SPSS IBM version 25, Pearson Moment coefficient correlation analysis was used to test the hypotheses. Results obtained from the test of the formulated hypothesis shows that the robotic automation process has a significant and positive relationship with operational efficiency in Lafarge Cement Company plc (P < 0.05; r =.214). The study concluded that the integration of robots in cement manufacturing can lead to significant improvements in efficiency, safety, and quality. The study recommended that leveraging automated processes will boost operational efficiency.