SMART MAINTENANCE IN THE ERA OF INTERNET OF THINGS

Manual data handling has been a challenge in industrial maintenance considering an increase in a complex demand of the customer that requires modern technology. Traditional maintenance has been, for decades on the centreline of manual data handling, in various occasions led to a lack of accuracy and slow decision-making process. Developing countries are striving to gain a paradigm shift pertaining maintenance practise. Maintenance practise in mining and manufacturing industries were scarcely accessible to remote control prior to establishment of web connected devices. The use of Internet of things in mining and manufacturing maintenance increased exponentially, following the extensive use of modern technologies. The next level of maintenance upgrade allows remote access and data distribution diagnostics and prognostics using smart sensors, actuators, and smart devices to authorise machine status and real time machine data in the cyberspace. This study aims to draw insights within the innards of smart maintenance opportunities in contrast to traditional maintenance in the context of developing countries. The research objective includes smart maintenance implementation and development, framework and decision making, and benefits. The proposed method used is meta synthesis analysis approach to explore various findings of a number of selected experts work.