Track: Industry Solutions

Abstract

Machine failures are normal and expected events of any manufacturing process. However, they may impact manufacturing negatively. Since these failures are a challenge to any manufacturing process; identifying and preventing them is an essential measure. This paper will focus on the failures of machines and their effects on manufacturing and production. A smart model will be presented that will enhance a fault detection process proposing a smart factory data analytics using cyber-physical systems (CPS) and Industrial Internet of Things (IIoTs). This research will explore the statistical relationships among different types of critical failures and their factors and how they are caused. An actual business case for a company is presented with the suggested smart factory model that will monitor and predict critical failures during the production process. This predictive failure control system will create an intelligent machine environment for a smart manufacturing process.