“While there are various kinds of monitoring that could help with advance warnings of a breakdown, most of them are really manual. Electrical monitoring among several other mechanical systems can serve a forewarning about equipment going out of shape, but can never really be accurate in prediction. This is where automation steps in. The best way to stay a step ahead of this situation is to have an efficient automated predictive maintenance system in place. Investing in processes and systems that help to identify critical risk points in a predictive manner could be the only difference between a smooth supply and production chain and critical production loss and disruption in market activities,” says Yeshraj Singh, Strategic Initiatives Leader – Digital Transformation, QuEST Global in an article published by Automation & Digitization.