IOT Based Intelligent MES

Abstract

This project is an IoT based intelligent Manufacturing Execution system that brings industry 4.0 to one of our local textile industries, i.e., Crescent Bahuman Ltd (CBL). The project aims to automate the textile industry using intelligent IoTs. Textile industry in Pakistan contributes to about $3.5 billion exports annually, however the industry is facing setbacks due to lack in technological advancements. The fourth industrial revolution offers an expected reduction in costs of around 3.6% across all sectors along with a 30% drop in maintenance costs due to predictive maintenance scheduling, which serves as the prime motivation behind this project. The methodology followed for the implementation of this MES is to install IoTs with the washing and drying machines at CBL, use the gathered data, specifically their current profiles, to identify the faults which have been causing hindrance in regular operation. Furthermore, we will analyze these faults along with the manual techniques being used to regulate them, predict possible faults in the future using Machine Learning and then finally create Dashboards that individually cater to the access requirements of the machine operators, shop-floor manager, and the executives of the company. Only using temperature & humidity sensors, machine status and their current waveform profiles, we will be providing a real time automatic solution to control the machine, analyze the faults and predict faults that may occur in the future to take necessary precautions in due course.