Certifiable Risk Management and Business Continuity Approach in Mining Industry
Bibliographic record
Abstract
In mining industry, there is a particular need for a sound approach to the process of risk and business continuity management with ultimate goal the continuity of mining operations in case of unplanned events' materialization. In this context, many functions within large mining companies have a significant risk component to their activities. Emphasis is placed on the type of threats that could cause serious loss of production and even jeopardize the operational continuity. In order to cover a wide spectrum of threats and hazards, an organization could approach their assessment and handling through the implementation of certifiable management system standards, such as ISO 22301, OHSAS 18001 and ISO 14001. The objective of this paper is to show the gains and the simplicity of development and implementation of a certifiable Integrated Management System in complex and risky activities in order to form a robust and sustainable business continuity and risk management framework which could face a wide range of risks that might prohibit operational continuity, such as production risks, health and safety risks and environmental risks. Through the integration of management systems large companies could achieve economies of scale and avoid duplication of efforts in assessing and handling the vast variety of threats. The integrated management system formulates a platform on which an organization can base a plethora of management systems containing threat assessment and management requirements such as ISO 28000 (Supply Chain Management) and ISO 39001 (Road Traffic Safety). The implementation of an Integrated Management System could help mines and other industries as well, to comply with the regulations and to operate safely and reliably.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".