Criteria (DAC) framework—provided that statutory obligations, industry best practices, and company global standards are met. Improved early-warning performance can create opportunities to challenge Factors of Safety in a controlled, defensible manner, unlocking design efficiency while maintaining or improving overall geotechnical risk performance. SMA also enables optimisation of instrumentation strategies, reducing dependence on dense prism networks while increasing confidence through enhanced detection capability Figure 36. Example of Design Acceptance Criteria (DAC) Matrix where the Consequence Level can be challenged by an enhanced geotechnical monitoring system Overall Industry Implication — Supported by the Geotechnical Monitoring Roadmap For mining executives, the broader implication of this work is that it establishes a scalable geotechnical monitoring roadmap that links immediate operational improvements with longer-term strategic transformation. The integration of SMA, AI-driven interpretation, and SME expertise provides a repeatable, enterprise-wide framework that enhances early-warning capability across open pits, underground mines, and tailings facilities. This roadmap demonstrates how progressive improvements in detection capability directly reduce the realised consequence of geotechnical events—strengthening preventive controls and enabling more stable production. As consequence levels decrease through better monitoring performance and earlier interventions, operations gain the ability to safely re-evaluate Consequence Levels within the Confidence–Consequence (DAC) matrix, creating pathways for risk-informed design optimisation while maintaining compliance with statutory, industry, and corporate standards. In this way, the Roadmap elevates geotechnical monitoring from a purely technical function to a strategic enabler of safer, more predictable, and more capital-efficient mining, fully aligned with long-term Prescriptive – Proactive – Reactive Monitoring
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