A SYSTEMATIC FRAMEWORK FOR UNDERSTANDING AND MANAGING ENGINEERING SAFETY

The safety evaluation of engineered systems has become increasingly important due to rapid technological advancements and the growing demand for reliable and efficient systems. High-profile accidents, including the Deepwater Horizon disaster, the Columbia Space Shuttle accident, and the Mars Polar Lander failure, demonstrate the significant human, environmental, and economic consequences of inadequate safety assessment. These incidents highlight how unexpected interactions between system components, particularly hardware and software, can trigger catastrophic failures even when individual components appear to function correctly. Traditional hazard analysis and risk assessment methods often focus on component failures, limiting their effectiveness in identifying hazards arising from complex system interactions. This study examines the principles and challenges of safety evaluation in engineered systems, with particular attention to the limitations of conventional safety assessment approaches in addressing software-related failures and interconnected system behaviours. It emphasizes the need for integrated safety analysis methods that consider component interactions, system complexity, software functionality, and operational conditions. The study highlights the importance of proactive hazard identification, comprehensive risk assessment, and continuous safety monitoring throughout the system lifecycle. Adopting a broader systems-based approach to safety evaluation can improve reliability, reduce accident risks, and support the development of safer and more resilient engineered systems.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-06
DOI
https://doi.org/10.5281/zenodo.24008437
Primary Topic
Risk and Safety Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

A SYSTEMATIC FRAMEWORK FOR UNDERSTANDING AND MANAGING ENGINEERING SAFETY

Engr. Ibrahim Musa Abdullahi
Zenodo (CERN European Organization for Nuclear Research)
Risk and Safety Analysis
article

A SYSTEMATIC FRAMEWORK FOR UNDERSTANDING AND MANAGING ENGINEERING SAFETY

Engr. Ibrahim Musa Abdullahi
article en

Abstract

The safety evaluation of engineered systems has become increasingly important due to rapid technological advancements and the growing demand for reliable and efficient systems. High-profile accidents, including the Deepwater Horizon disaster, the Columbia Space Shuttle accident, and the Mars Polar Lander failure, demonstrate the significant human, environmental, and economic consequences of inadequate safety assessment. These incidents highlight how unexpected interactions between system components, particularly hardware and software, can trigger catastrophic failures even when individual components appear to function correctly. Traditional hazard analysis and risk assessment methods often focus on component failures, limiting their effectiveness in identifying hazards arising from complex system interactions. This study examines the principles and challenges of safety evaluation in engineered systems, with particular attention to the limitations of conventional safety assessment approaches in addressing software-related failures and interconnected system behaviours. It emphasizes the need for integrated safety analysis methods that consider component interactions, system complexity, software functionality, and operational conditions. The study highlights the importance of proactive hazard identification, comprehensive risk assessment, and continuous safety monitoring throughout the system lifecycle. Adopting a broader systems-based approach to safety evaluation can improve reliability, reduce accident risks, and support the development of safer and more resilient engineered systems.

Zenodo (CERN European Organization for Nuclear Research)
University of Port Harcourt (NG)
Openalex Percentile: Top 15%
Risk and Safety Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon