Downtime | Production efficiency | Artificial Intelligence | Predictive maintenance

How we ensured the longevity and efficiency of the equipment in order to perform predictive maintenance in metallurgy

Our client in the metallurgy industry needed our help for predictive maintenance strategy

Key challenges

Our client is a leader in the steel industry that operates both cold and hot rolling steel lines. With a production downtime of 67% and many untimely shutdowns, they needed our help to maintain their entire cold rolling steel production line on track and to optimize it in order to increase production efficiency.

Our approach

To meet our client’s needs, we started by studying the production line entirely and detect the most frequent failures and defects. Then, we established and implemented optimized maintenance plans. Now we are looking to develop a predictive maintenance solution assisted by Artificial Intelligence (AI).

Benefits

Our client has reduced machine downtime, wasted resources and costs while increasing the productivity and sustainability of its production units. Today, they will be able to continue gaining the highest return on critical assets by supporting predictive maintenance programs.