Schneider Electric Australia and MPPIglobal aim to deliver productivity solutions to MMM

Schneider Electric has signed an agreement with MPPIglobal to work collaboratively together to deliver a real-time productivity (RTP) solution to its customers. This partnership brings together Schneider Electric’s mining, metals and minerals plant information management software in Ampla with the operational excellence knowledge and experience of MPPIglobal. Previous engagements with customers between both companies have delivered substantial operations productivity and efficiency improvements.

MPPIglobal is an independent mining improvement company specialising in asset optimisation, maintenance, reliability and continuous improvement. MPPIglobal delivers transformational value in mining operations through the use of a range of improvement methodologies, technologies, systems, processes and advanced concepts. Their work typically covers the spectrum of increasing production across the mining value chain.

The RTP solution has been shown to generate in excess of 15% productivity improvements across Schneider Electric’s mining customer supply chain and process operations. It is claimed that the successful ability to maintain a maximum sustainable rate at the bottleneck area of a process has achieved significant gains in the overall equipment effectiveness of its customer’s operations. This is performed in real time through the integration of information from the control and operational systems giving shift operators immediate insight into what is happening now, in order to maintain that maximum sustainable rate. Additionally, automated event capturing on what prevented the operation to achieve its targets in the past allows metallurgical, maintenance and process people the ability to do root cause analysis to drive continuous improvement.

The RTP solution is a packaged offer that has been successfully and efficiently deployed across many different types of process plants from concentrators, de-watering plants and refineries, which has proven its ability to meet any type of process across the MMM segment.