Leveraging IoT towards Sustainable Manufacturing Applications Based on Text Analytics

Abstract

Latest advancements in the Internet of Things (IoT) setup and the advent of the sensing technology have generated an integrated information data which could be employed for enhancing the manufacturing sector. The blend of cyber-physical systems and intelligent data analytics is playing a key part in product management as well as factory transformation. The advanced analytics technique for data purposes could facilitate self-awareness and self-maintenance of factory machines. In this case, self-awareness for a mechanical structure pertains to the ability to evaluate the machine's present and historical condition and deploy available information for responding to its condition. The machine's well-being can be ascertained by employing the data analytic technique centred on the gathered information or data from the machine and surrounding environment. The data-propelled decision-making process can provide feedback to the machine controller for effectual and adaptive control and to machine owners for the in-time upkeep. This paper discusses the application of data and text analytic methodology in an orderly literature review of papers pertaining to the deployment of IoT methodology in the production sector. The chosen papers are exposed to content evaluation and grouped as per the modern technologies and functions. The research espoused determines trends of IoT deployment in the production sector and notes that text analytic is an effectual technique for carrying out an orderly literature review.