Journal of Interdisciplinary Cycle Research ISSN NO: 0022-1945 Volume XII, Issue VIII, August/2020 Page No: 438 Step towards smart workshop of Industry 4.0: Remote Product Monitoring System using Industrial Internet of Things. Abstract—Industry 4.0 is all about digitization. Digitization is radically changing the face of manufacturing in the world. Basically Industry 4.0 is amalgamation of various emerging technologies in making factories smarter and custom centric. It is necessary to build the smart factories to upgrade the entire manufacturing process with digitalization of factory. This revolution will have similar effect on our entire society as the steam, electricity and the computerization. In view of above background, the system design and architecture of demo unit for remote product monitoring system on conventional lathe machine is implemented. In addition to that, the key technologies are discussed and analyzed such as industrial internet of things, data analytics and smart sensors. Finally, the machine utilization is mainly monitored as overall equipment efficiency that is the measure of productivity, availability and quality. Whereas productivity is the total number of jobs produced, availability which is the uptime and the quality which can be counting rejections. This is a demo kit which can be used to demonstrate industry 4.0 concepts for sensitization of students. Keywords— smart factory, Internet of things, data visualization and analytics, smart sensors, automation, cyber physical systems. I. INTRODUCTION With rapidly growing electrical and electronic technologies along with the manufacturing advances the entire production technologies are undergoing rapid up gradation and are transforming into digital and intelligent systems. Due to the new challenges in the manufacturing and production, the entire conventional and traditional mechanisms and systems in industries have been diminished. Due to effect of this mechanical chains in production shall be replaced by digital chains. 3D printing of spare parts will make traditional production and logistics process obsolete. Industrial internet of things or network of smart physical systems in cyber space shall make production efficient and transparent. Sensors and actuators on machines, products and tools shall provide means for faster decision making and control flow of the important industry 4.0 technologies like big data and interoperability. Industry 4.0 will ease current challenges for manufacturers will lead to an innovation economy will put the consumer in the centre of all activities and production and will enable sustainable prosperity. As the digitization is changing face of manufacturing, companies are facing challenges in monitoring assets on real time basis to improve its utilization. Using industrial internet of things platform, these challenges can be overcome for acquiring sustainability in manufacturing. Industrial internet of things is the network of physical sensors embedded in machines collecting and exchanging production data. It can provide integration of physical world and computer based systems, which results in improved real time monitoring giving economic benefits. II. PURPOSE AND OBJECTIVES Considering the need of digitization in manufacturing it was worthwhile to develop a demo unit of Remote Product Monitoring System using industrial internet of things. As the asset utilization is the most important aspect of efficient running of manufacturing industry, the project identified a simple manual lathe machine as an asset in the machine shop which was monitored for its effective utilization. Machine utilization is measured and monitored in terms of overall equipment efficiency. The availability of the machine in the workshop, and the quality of the jobs manufactured based on which the productivity and the performance of whole system can be monitored. FIGURE 1. Manual Lathe Machine under consideration Idris Press Wala Department of Mechanical Engineering Vishwakarma University Pune, India idrispresswala11@gmail.com Rugved Patkar Department of Mechanical Engineering Vishwakarma University Pune, India rugvedpatkar01@gmail.com Mrunmai Ranade Department of Engineering Sciences Vishwakarma University Pune, India mrunmai.ranade@vupune.ac.in Deepak Shrivastava C4I4 Lab Pune, India deepaks.shrivastava@gmail.com Dr. Yogesh Deshpande Department of Computer Engineering Vishwakarma University Pune, India yogesh.deshpande@vupune.ac.in