From downtime to uptime

“If it ain’t broke, don’t fix it” is a catchy phrase, but it’s not a good rule of thumb. Unscheduled downtime

and poor asset quality costs manufacturing and process industries an estimated $20 to $60 billion each year.

Unfortunately, such reluctance to embrace new technologies, due in part to the upfront cost, has hindered

progress in operations.

Anyone who operates within the manufacturing ecosystem will understand that failures and breakdowns

happen day in, day out.  The intention of predictive maintenance is not just to prevent or reduce these

breakdowns, but to help manufacturing plants achieve high-efficiency standards and deliver quality products

in the process. A predictive maintenance program can reduce unexpected failure by up to 90 per cent, almost

eliminating breakdowns.

To perform predictive manufacturing effectively, the plant manager should gather as much data as possible.

This is crucial when implementing any preventative maintenance strategy, as the more data available to be

analysed, the more accurate breakdown predictions will be.

While some extent of equipment failure is inevitable, it should not cause unscheduled downtime and poor asset

quality, costing manufacturing and process industries billions each year. Instead, a fully-fledged and effective

predictive maintenance plan will help to prevent and reduce downtime significantly, simultaneously boosting a

plant’s profitably through increased uptime.

We still have a lot of PLC/DCS/TSI/ESD Module in stock, contact us quickly for prices.