One of the key elements in Industry 4.0 is Predictive Maintenance (PdM). Beside the rational and benefits we explored in all the previous, today we look at prediction at scale and see how smart factories get more value out of the predictive maintenance and explore deep into the topic what it is all about establishing
Many business operations had been affected since the outbreak of COVID-19. Organisation has to embrace various methods and alternatives in order to sustain their businesses. The methods also include leveraging their assets and reducing cost. Predictive maintenance can be viewed as one of the way out as it offers benefits such as increase in return
Unplanned downtime holds the top position as the most concerning problem in the manufacturing industry. Downtime in manufacturing is often related to machine failure, production failure and unplanned stop. The impact of downtime in manufacturing can be serious and lead to loss in manufacturing process and production. Over the years, manufacturers had always tried to
The shift from traditional factory to smart factory had triggered the adoption of predictive maintenance in many organisation as their maintenance strategy approach. If you are the decision maker in your organisation, what will your decision be? When stumbled upon an option with significant impacts on future operations, trends or lifestyles, the best practice is
The manufacturing industry had always evolved as the technology evolved. Today, the industry is no longer in the era of automation based on human inputs but has leap forward to cyber physical system. This transformation is known as Industry 4.0 where everything is about data. There are many buzzwords that appear alongside the introduction of
Maintenance is often considered by the management as just another expense which is associated to the failure in operational technology and devices. However, in the recent years, the management had realised the importance of maintenance as it contributes various added values to business processes such as preservation of assets, reduction of cost through optimising maintenance