RPMGlobal has completed the acquisition of IMAFS, adding a cloud delivered, inventory management and forecasting software solution to a suite of technology solutions that use proprietary artificial intelligence algorithms to greatly improve inventory management.
IMAFS analyses inventory data from corporate Enterprise Resource Planning (ERP) systems to deduce the optimal timeframe for inventory orders, costs, and order frequency. It supports not only several forecasting methods, but also takes advantage of AI and machine-learning capabilities to optimise the calculation of the key variables in inventory management, RPMGlobal says.
The ‘forward looking’ predictive algorithms become particularly powerful when used in conjunction with RPMGlobal’s asset management system, AMT, the company added. AMT uses a Dynamic Life Cycle Costing engine that forecasts, in real time, every maintenance event for a piece of equipment, at a component level, until the end of its economic life.
The future demand of an organisation’s assets, combined with the optimisation algorithms within IMAFS, are the critical pieces of the puzzle to optimise procurement and management of critical parts and components, according to RPMGlobal.
“The delivery of an integrated AMT and IMAFS offering delivers an industry-first, predictive solution with more certainty of the future and less reliance on historical data,” it said.
ERP systems typically use historical consumption to predict future requirements, which, according to RPMGlobal, has its limitations in a volatile maintenance and repair focused industry such as mining.
“This future demand knowledge will further improve the accuracy of parts availability, reducing inventories, decreasing stockouts and reducing equipment downtimes,” it said.
IMAFS has been proven in industry, according to RPMGlobal, with one operation reducing 78% of stockouts for items with high usage, while concurrently reducing stock levels by 14% for the items controlled by IMAFS. Another operation was able to reduce global inventory by 15% within the first 10 months without any diminution of service levels.
RPMGlobal Chief Executive Officer, Richard Mathews, said: “The company is leading the way in the practical application of innovative technology that increased miners’ operational competitiveness. With our growing suite of optimisation products, RPMGlobal has built a capacity to help global operations extract more value where it counts. We are excited to be utilising AI technologies to improve the efficiency of mining operations across the asset management function.”
He added: “We intend to build on this AI capability by including additional variables in the models that may impact availability for our customers operating in remote locations. This experience will also assist us as we look to use these same advanced techniques to further optimise mine planning and scheduling.”
