Hazard-operability-study is a systematic hazard-identification method in process engineering where trained teams apply structured guide words (no, more, less, reverse, part-of, as-well-as) to process parameters (flow, pressure, temperature, level) to identify feasible deviations, trace each to root causes, evaluate consequences, and recommend safeguards. It persists through formal study protocols, certified facilitators, documented reports, and regulatory requirements. [formal: hazard-operabilitas | substrate: behavior | horizon: a life | explicit: yes | epoch: 0.01]
Accepted ontology entry
hazard-operability-study
Hazard-operability-study is a systematic hazard-identification method in process engineering where trained teams apply structured guide words (no, more, less, reverse, part-of, as-well-as) to process parameters (flow, pressure, temperature…
Definition
Why it is in scope
A systematic hazard-identification method used in process industries where teams guide structured brainstorming through 'guide words' (e.g., no, more, less, reverse) applied to process parameters to detect deviations, their causes, consequences, and required safeguards. It persists through documented study protocols, trained teams, and regulatory frameworks.
Names and aliases
- hazard-operability-studyen · CANONICAL
Relations from this entry
- cms8a929t007573fkafm8ap7iSERVES →
HAZOP is a structured hazard-identification method built and maintained for the sake of risk-management. Law 8d: for-whose-sake test — the method exists to feed risk assessments with systematically identified hazards and operability issues.
- cms9293jz002i7skq3m4d9hr1SERVES →
HAZOP is a structured safety analysis method built for the sake of safety-management: systematic examination of process deviations to identify hazards and safety implications. The study serves safety-management by producing findings that feed into risk controls and management decisions.
Relations to this entry
No accepted relations in this direction.
Record identity
- Created
- Jul 31, 2026, 7:01 AM UTC
- Content hash
- 9e5c151b56a2d13b2a5149b1094a856b1169a3c520f8cf0f9d36fccc372d7ea6