The Significance of Machine Learning in the Manufacturing Sector: An ISM Approach

Background: Our day-to-day commodities truly depend on the industrial sector, which is expanding at a rapid rate along with growing population. The production of goods needs to be accurate and rapid. Thus, for present research, we have incorporated machine-learning (ML) technology in manufacturing sector (MS). Methods: Through an inclusive study, identify 11 factors within research background that could seen as holding significance machine learning sector. An interpretive structural modeling (ISM) method used, inputs from experts are applied establish relationships. Results: findings ISM model show ‘order fulfillment factor long-term focus ‘market demand’ short-term focus. results indicate critical impact development Conclusions: contributes aims incorporate learning. Using model, industries can directly point out their oddities improve them better performance.