CMMI & Lean-Based Metrics Governance Model to Ensure Data Accuracy & Consistency for Ai/Ml Applications for Sustainable Operations in Mining Industry

Abstract

In today’s competitive business environment, even small improvementsin productivity and efficiency can have a hugeimpact on company’s profitability. Whether itis through reduced lead time/waste, minimized downtime or improved quality, operation managersare looking for any advantageat every stage. Lean management is a long-term operational discipline that methodicallyseeks to enhanceefficiency and quality by eliminating wastage. The concept is being used in varied industries and helped byimproved productivity, safety &better management.Lean in being used by few mining companies alsoata small scale, which has helped them in limited way

AI/ML is another importanttechnology used by many organizations. Many globalmining companieshave also used itfor improving operational efficiency, which havehelped miners in a limited ways in improving the productivityand safety. Mining companies have to deal with tons of data set generated from heavy machinery and plants, which have to be stored, processed, and stored. There are many challenges in the data set generated/used by AI/ML-application for mining operations.

One of the key challenges in AI/ML is accessibility and availability of accurate & consistentdata.To ensure consistency of data there is a need for a governance structure which will guarantee the availability of required accurate data set for AI/ML system. One possible solution could be, CMMI’s metrics processes used by IT companies and have helped in improving quality. CMMI’s Metrics related processes are being used extensively by the organizations for better monitoring & control of key measures

This paper explores the possibilityof usage of CMMI’s metrics practices with lean implementation in mining for ensuring availability of accurate data sets for AI/ML applications. The proposed framework will puta governance model in placeto ensure accuracy & consistency of data to be used for AI/ML-applications in Mining.