Date(s) - 07/05/2018 - 09/05/2018
CIM 2018 Convention & EXPO
CIM 2018 Mitigations resilience, economic optimization with military grade risk application is a presentation by Cesar Oboni and Franco Oboni.
It encompasses a methodological review of convergent, multi-hazard, interdependent system’s analysis and case history in the mining world.
Mining and Military systems are astonishingly similar. Diversified miners may have several base metals and other divisions, while the Military have Forces such Ground, Navy, Air Force. Additionally, those Forces, like mining divisions, are interdependent at strategic and tactical level.
All strive for excellence while having hazard exposures and systemic risks at various levels.
Risk Management, systemic resilience enhancements and economic optimization are of paramount importance. Indeed, miners and armed forces have to:
quickly adapt to new situations while continuously operate (asset, maintenance, and stewardship),
deal with confidential, secret information,
satisfy the public while being heavily scrutinized by antagonists, and finally,
operate under expanding web-based automation.
CIM 2018 Mitigations resilience, economic optimization with military grade risk application
The Swiss Army Cyber Defence selected the ORE (Riskope’s Optimum Risk Estimates) methodology. ORE, originally developed for specific mining applications (tailings, power generation and distribution, pipelines, logistic) easily morphed into a convergent, multi-hazard inter-forces risk management program.
The presentation shows a mining industry ORE case history deployment where the “military grade”, risk application allows for risk informed decision and delivers numerous benefits.
In the era of Internet of Things miners can embrace Risk Management 2.0 and maximize the benefits of convergent, multi-hazard, interdependent system’s analysis.
Convergent risk management delivers better understanding, better evaluations, better decisions, greater success, as shown by our CIM 2018 Mitigations resilience, economic optimization with military grade risk application.