Increasing OEE of an assembly line using the Industrial Internet of Things

Abstract

The study focuses the Overall Equipment Efficiency (OEE), one of the tools which is used by an organisation to measure that how efficiently the equipment is working in comparison to its installed capacity and the benchmark set by the organisation. OEE could easily be calculated by the organisation if the collected data is accurate. The data accuracy could be increased by using the Industrial Internet of Things (IIoT) tools. Operators tend to make a mistake subconsciously which results in invalid data and inaccurate solutions. To overcome the problems, it is required to use some devices to record all the data. The OEE monitored by deploying the IIoT tools gives a better result. This work shows a possible way to implement IIoT tools and a pathway towards Industry 4.0 in manufacturing plant. The primary objective and goal of this study is to increase the current state OEE to the World Class OEE as up to 85%, and after achieving it, increasing the production and sustaining it.

application of real-time overall equipment efficiency indicator in a medium-sized company

“…It is in this context that the IoT technology has played a significant role in business models and the industrial sector. By enabling real-time data collection with minimal margin of error, the IoT allows organizations to promptly identify variations in the production process, resulting in precise and immediate measurement of OEE (Bakhsh and Raj, 2019).…”

“…In the study carried out by Bakhsh and Raj (2019), a pilot test was carried out on an industrial assembly line. During this experiment, work center operators underwent training related to the implemented system.…”