ABSTRACT:
There have been increasing concerns regarding safety and risk management during mining operations. Mining is a complex task, needs a strong risk assessment framework to prevent accidents and hazards. Also, for mining activities to deliver maximum contributions in line with the SDGs (3 and 8, health and safety) requires innovative thinking and action to ensure safety of mines/workers. So, for optimal risk assessment and safety and sustainability in Mining, we suggest an AI/ML and CMMI's Risk Management (RSKM) Process Area (PA)-based conceptual framework which will help miners in better measurement and control. Research suggests that combination of latest technologies, frameworks and systems is best way to handle complex safety and risk functions. To achieve best organizational-wide safety and risk tracking a combined strategy is needed. To get best results there is a need to adopt a framework like CMMI, which is a proven model used by IT companies and combine it with AI/ML concepts. The proposed framework will provide a set of risk-based practices and help mining organizations in better risk management supported by AI/ML tools. It will also provide a rating/maturity of risk practices in the organisation. The proposed framework will help the organisation in getting the quantitative rating/maturity of risk related practices and will work as a Decision Support System for the senior management and decision makers.
Cite this article:
Praveen Harkawat. AI/ML and CMMI’s Risk related Process Areas-based Conceptual Framework for Better Safety and Risk Management and Sustainable Operations in Mining Industry. Asian Journal of Management. 2025;16(3):227-2. doi: 10.52711/2321-5763.2025.00034
Cite(Electronic):
Praveen Harkawat. AI/ML and CMMI’s Risk related Process Areas-based Conceptual Framework for Better Safety and Risk Management and Sustainable Operations in Mining Industry. Asian Journal of Management. 2025;16(3):227-2. doi: 10.52711/2321-5763.2025.00034 Available on: https://ajmjournal.com/AbstractView.aspx?PID=2025-16-3-9
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