Acceso usuarios
, Ahmed Frikha
Objective: The aim of the study is limited to several points, the most important of which is to understand the new concepts related to artificial intelligence and their role in supporting and activating lean management and the extent of their contribution to the success and survival of modern industrial companies.
Theoretical Framework: This topic presents the most important concepts and theories on which the research is based. [Artificial Intelligence and Lean] stands out, providing a solid foundation for understanding the context of the investigation.
Method: The study population was represented by the factories affiliated with the General Company for Automotive and Equipment Manufacturing. The sample was selected randomly, based on the (simple random sampling) method, where 3 factories were selected (the car and specialized wheel production factory, the body and heavy equipment factory, and the battery factory) out of a total of 6, and the number was Study population (2736) The researcher decided to distribute (300) questionnaires to workers in the factories affiliated with the company, the study sample. (300) questionnaires were distributed to the research sample (10.96%) of them after reviewing previous studies and benefiting from them in the field of research. (289) were recovered at a rate of (96.3%), of which (9) were not suitable for analysis, so the net sample was 278 from the studied population, at a rate of (92.8%) from the research sample.
Results and Discussion: The study showed a set of theoretical and field conclusions, the most important of which is that artificial intelligence has gained high acceptance among the staff of the automobile and equipment manufacturing company as a tool for improving administrative work and enhancing the characteristics of lean management.
Research Implications: The practical and theoretical implications of this research are discussed, providing insight into how the findings can be applied or impact practices in the field of AI and lean management and these impacts may include companies affiliated with the Ministry of Industry and Minerals and the services they provide.
Originality/Value: The importance of this study came from the scarcity of studies that attempted to identify and understand the nature of the relationship between variables (artificial intelligence and lean management), as well as the attempt of the current study to address a realistic problematic problem that directly affects the performance of workers in the general automotive and equipment industry.
