Remote service and predictive maintenance for industrial furnaces

Around the world, production facilities and supply chains are growing  together more closely. The Internet of Things, the intelligent networking of plants and machines, and the focused use of data are making this possible. The goal: to produce more efficiently, more productively and more sustainably. Digitized and increasingly complex infrastructures are also increasing the importance of remote maintenance in industry.

How to reduce costs with remote service and predictive maintenance

Current figures show why remote service and predictive maintenance are becoming increasingly important for industry: Defective machines are responsible for the loss of three percent of all working days in the UK, which amounts to an average annual loss of 35,300 euros per company. According to the Oneserve report, three quarters of all manufacturers also outsource maintenance, which costs a further 137,000 euros a year.

"... average annual loss of 35,300 euros per company."

Other studies paint a similarly alarming picture: independent research by Aberdeen states that 70 percent of all companies have little or no awareness of when maintenance is needed on their machines.

Yet there are enormous tangible and hidden costs associated with downtime: Costs of lost production, employee wages, costs of supplies, spare parts and maintenance, as well as lost business and lost customer confidence.