Chatterjee, Kaustabh2024-02-142024-02-142024ROLL NO.186103018https://gyan.iitg.ac.in/handle/123456789/2551Supervisors: Dixit, Uday Shanker and Zhang, JianThe effective utilization of data is becoming increasingly important for enhancing the performance of manufacturing processes. In the era of Industry 4.0, advancements in technology have enabled the collection of vast amounts of data from various manufacturing processes, making it possible to analyze the data and derive insights that can help enhance the performance. One of the main advantages of using data-driven manufacturing is the ability to identify quality issues early in the production process. It reduces the likelihood of defective products, thereby enhancing customer satisfaction, reducing wastage and improving the profitability.enData-analyticsCutting Force Surface RoughnessDynamic ReliabilityCook�s DistanceMultiple-linear RegressionOutliersTurningMachiningOpen-die ForgingClosed-die ForgingFinite Element MethodForging LoadFrictionInterval EstimationSimilarity Index|Thesis