Assessment of occupational risks in production: danger identification methods, root cause analysis, and development of compensatory measures. Contains cases on transferring from reactive accident investigations to proactive threat prediction and mitigation, and tools for their digitalization.
The article explains the three-level classification of workplace accident causes — immediate, basic, and root — and explains why incident investigations should not be limited to recording obvious facts. The author shows how identifying deep systemic violations in occupational health and safety management helps eliminate the root causes of incidents instead of a formal search for culprits. Understanding the difference between these levels allows implementing sustainable corrective actions, improv...
Traditional risk assessment methods in enterprises often fail to prevent injuries due to cognitive biases and template thinking of specialists. An experiment showed that an AI assistant trained on injury statistics and investigation materials is capable of objectively analyzing occupational health and safety instructions and proposing specific actions instead of formal phrases. The use of such technologies helps compensate for the peculiarities of human thinking by providing accurate data to foc...
The article covers a site safety map — a visual diagram of a production area that combines layout, hazards, personal protective equipment, and rules of conduct. This tool helps quickly orient workers and contractors, reduces the time needed to approve work permits, and enhances emergency preparedness. An up-to-date map allows seeing risks before entering the site and requires no direct financial costs, as it is developed by the enterprise's own team.
Based on the analysis of investigation materials of more than 1,500 accidents, the author examines the key factors and causes leading to occupational injuries. Using mathematical statistics and personnel surveys, the article reveals the dependence of injury risk on workers' qualifications, profession, length of service, and work organization. The practical value of the data lies in helping managers and specialists more accurately plan injury reduction measures and strengthen safety control.
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.
The article examines the replacement of traditional paper-based industrial control methods at enterprises with mobile applications that eliminate data transmission delays and human error. The use of digital checklists and photo recording of violations directly at the workplace allows for prompt transmission of information to management and automatic generation of corrective orders. The material explains how switching to mobile solutions saves resources by eliminating duplicate data entry and inc...
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.
Our brain tends to ignore workplace hazards due to risk habituation and cognitive traps like survivorship bias. This article examines the reasons why employees start working on autopilot and proposes methods for reshaping threat perception. Workplace mindfulness practices help activate attentiveness and make the brain a reliable ally in occupational health and safety.
Traditional methods of industrial control in the coal industry are often focused on regulatory compliance rather than actual risk reduction. The article examines the implementation of a risk-based approach using the ICMM methodology, focusing on the identification and verification of critical controls. This approach enables targeted resource allocation and a shift from formal rule compliance to the prevention of catastrophic incidents.
The article explains why routine occupational health and safety walkthroughs do not always reveal hidden workplace risks and habitual rule violations. The author shows how to make an anonymous survey an effective tool for obtaining honest feedback from employees without fear of punishment. The material provides a step-by-step guide to drafting questions, communicating with the team, and working with feedback to eliminate hazards.
Engaging workers in occupational risk analysis using personalized workplace images generated by artificial intelligence (Leonardo neural network). The method involves holding short 15-minute meetings in workshops where employees look for intentionally embedded violations in pictures, and then propose their own hazard scenarios via QR forms for generating new images.
Implementation of an adaptive risk-oriented concept in construction through high-risk work monitoring. The practice includes site zoning, checklist optimization to 21-25 items, "here and now" risk elimination, multi-level audits involving line managers and top management, and subcontractor rating.