Unlocking Manufacturing Potential: The Impact Of Big Data And Predictive Analytics

Abstract

Combine Big Data and Predictive Analytics for manufacturing performance metrics and control: New efficiency question and answers for operations. With data becoming one of the core strategic resources in the recent past, manufacturers are tapping large amount of data from sources including sensors, machines, and supply chains to improve efficiency and reduce costs. Big Data analytics is the capability to analyse large volumes of data to discover new patterns and relationships in the data. While Decision Support Systems employs this information in the determination of solutions to current or existing issues, Predictive Analytics on the other hand applies the same in the anticipation and probable prevention of the same in the future. Using AI, equipment take time to breakdown, time of maintenance to be made and quality control enhances to be achieved. Much the same manner, this transfer of decision-making to data analytics improves the practicality of business operations and cultivates adaptability in quarterbacking innovation that meets the market’s needs. Also, the use of such technologies is useful in cutting unnecessary time, avoiding wastage, and in the proper use of the available resources. Nevertheless, the use of Big Data and Predictive Analytics in manufacturing involves the following issues, such as security, integration, and qualified personnel. Nevertheless, the advantages that stem from the application of these technologies cannot be overlooked, therefore incorporating these technologies is crucial for the evaluation of manufacturing performance. The aim of this paper is to understand several examples of industry that has employed Big Data and/or Predictive Analytics in manufacturing performance to discuss on how they have influenced efficiency, cost, and strategic improvement.