#Risk management
Comprehensive industrial risk management: building a risk-oriented model, integrating ISO 45001 safety standards, and developing multi-level internal control. Real examples of making systematic hazard minimization an integral part of daily business processes.
Regular Incident Analysis: From Blaming Individuals to Systemic Solutions
Traditional blame-seeking in occupational health and safety incidents is ineffective and is giving way to a systemic approach, where every incident is viewed as a symptom of deep organizational problems. Regular analysis of even minor incidents allows identifying up to 80% of potentially dangerous situations before they escalate into severe accidents. Such an approach transforms industrial safety from a formal procedure into a living system that reliably protects the lives and health of workers.
Not By Oil Alone
Although public attention to environmental accidents is focused mainly on the oil and gas sector, virtually any human economic activity carries potential danger. This article presents the author's ranking of the largest non-oil-related disasters of the past century — from chemical spills and radiation accidents to dam failures and large-scale fires. The publication reminds us that preventing incidents is much more important and cheaper than eliminating their consequences, which often prove to be...
Incident Investigation: Not About Blame, But Hunting for Root Causes
The article explains why a punitive "find and punish" approach when investigating an industrial incident is dangerous, and how failures due to the "human factor" hide systemic flaws. The author shows how switching to a "search for causes" helps discover weak links in occupational health and safety and work organization. Using the "5 Whys" method as an example, it examines a way to find the root cause of an accident and eliminate a real threat in production.
Dynamic Risk Assessment: The Key to Safe Work Execution
The article is dedicated to dynamic risk assessment (DRA) — an operational paperless assessment performed before starting and during work to identify and prevent hazard factors. The material examines the algorithm for conducting the assessment based on the traffic light principle, as well as common employee mistakes when analyzing threats. The publication contains recommendations for the effective implementation of DRA at the site for transitioning to conscious safe behavior and protecting worke...
Creating a Proactive Level of HSE Culture
The article is devoted to a methodology for the quantitative assessment of the level of occupational safety culture in a company using the method of "blind surveying" of employees and classifying system maturity across five levels. The study examines key elements and principles of shaping a safety culture, as well as the procedure for identifying problem areas and directions for system improvement. The practical application of the developed measures allows human errors to be offset by the collec...
Development and implementation of the "Production Control" practice within the manager's work standard implementation project
Implementation of production control practice as part of the line managers' work standard. The process includes planning, identifying deviations via checklists, root cause analysis, and correction using digital tools for recording violations.
Risk Management Methods Vary: Identifying and Eliminating Hazardous Production Situations
Risk management methodology through proactive identification and elimination of hazardous production situations (HPS) before they become incidents. Includes involving personnel in threat registration, maintaining a unified register, planning corrective actions, and multi-level execution control.
Safety Compass: How AI is Changing the DNA of HSE
Using generative neural networks and low-code platforms (Replit, Bolt) to automate routine tasks for HSE specialists. The "Health Compass" system was developed to monitor epidemiological risks for traveling employees, along with dashboard prototypes for incident forecasting and categorization.
Artificial Intelligence: A New Benchmark in HSE
The article is dedicated to the application of artificial intelligence, chat models, and low-code platforms in the field of occupational health and safety to transition from administrative reporting to risk forecasting and management. The material explains how digital tools accelerate the development of solutions and reduce the volume of routine operations, not replacing the specialist, but enhancing their expert role. The author also examines the practical stages of implementing no-code applica...
Identifying Injury Risks in Rail Transport Using Video Surveillance
At the company JSC "Apatit", the analysis of footage from video surveillance cameras made it possible to identify critical violations of occupational health and safety requirements during the operation of rail transport. Based on the results of internal investigations, organizational and technical measures were developed, including conducting tests of a video analytics system with computer vision. The article examines practical examples of hazardous situations and describes the operating princip...
Working at Height Risk Assessment
The article presents practical experience and a tool for conducting risk assessments when performing work at height at a manufacturing enterprise. The author describes a step-by-step assessment process using a checklist, forming a unified database, and developing corrective measures to reduce hazards. The implementation of such a methodology allows reducing the approval time for standard high-hazard work, eliminating "blind spots" in safety, and increasing the level of personnel protection.
Analytics as a Management Philosophy
The article is dedicated to industrial safety analytics as an intelligent tool for transitioning from reactive incident investigation to proactive risk management. Based on data from equipment, audits, and video surveillance systems, the modern approach allows predicting incidents and identifying their hidden root causes. This helps enterprises allocate resources to safety in a targeted manner and make management decisions based on accurate data rather than intuition.