Machine Learning on the Role of Eliminating Human Error on the Manufacturing Industry

Human errors within a manufacturing industry are an essential factor that needs to be prevented to continue their operation. However, human errors can be a major obstacle within the production process and its safety. Companies need to focus on their human error detection process to prevent this type of disruption. Human errors within a manufacturing industry need to be eliminated and identified within a less time and that can only be possible after the engagement of machine learning techniques. Focus of this research article will be on different types of machine learning tools used within the Indian manufacturing Industry to eliminate human errors and the challenge they might have faced during its post and pre implementation process. In the introduction part, the background of this research area based on global context and aim, and objectives of this research has been presented. In the LR section, different findings from journal articles have been presented which focuses on the Python script used by construction sites, to improve the process of manufacturing Geopolymer. Moreover, various other tools such as different regression models in the food production industry and other manufacturing industries will be discussed in this research paper with challenges. A mixed method has been used in this research paper to identify primary and secondary both data. It has been found that, effect of ML models to eliminate human errors in the manufacturing industry is mainly positive, apart from some specific technical challenges and poor algorithms.