Human Factors and Fallacies of Behavior Based Safety Program

2016 ◽  
Author(s):  
Tayo Ajimoko
Keyword(s):  
Human Factors ◽  
Safety Program ◽  
Behavior Based

Industry First AI-Powered Fully Automated Safety Observation System Deployed to Global Offshore Fleet

2021 ◽  
Author(s):  
Nassima Brown ◽  
Adrian Brown ◽  
Abhijeet Degupta ◽  
Barry Quinn ◽  
Dustin Stringer ◽  
...  
Keyword(s):  
Real Time ◽  
Safety Culture ◽  
Safety Management ◽  
Digital Technologies ◽  
Observation System ◽  
Safety Program ◽  
Effective Application ◽  
Behavior Based ◽  
Global Operations ◽  
The Impact

Abstract As the oil and gas industry is facing tumultuous challenges, adoption of cutting-edge digital technologies has been accelerated to deliver safer, more efficient operations with less impact on the environment. While advanced AI and other digital technologies have been rapidly evolving in many fields in the industry, the HSE sector is playing catch-up. With the increasing complexity of risks and safety management processes, the effective application of data-driven technologies has become significantly harder, particularly for international organizations with varying levels of digital readiness across diverse global operations. Leaders are more cautious to implement solutions that are not fit-for purpose, due to concerns over inconsistencies in rolling out the program across international markets and the impact this may have on ongoing operations. This paper describes how the effective application of Artificial intelligence (AI) and Machine Learning (ML) technologies have been used to engineer a solution that fully digitizes and automates the end-to-end offshore behavior-based safety program across a global offshore fleet; optimizing a critical safety process used by many leading oil & gas organization to drive positive workplace safety culture. The complex safety program has been transformed into clear, efficient and automated workflow, with real-time analytics and live transparent dashboards which detail critical safety indicators in real time, aiding decision-making and improving operational performance. The novel behavior-based safety digital solution, referred to as 3C observation tool within Noble drilling, has been built to be fully aligned with the organization's safety management system requirements and procedures, using modern and agile tools and applications for fully scalability and easy deployment. It has been critical in sharpening the offshore safety observation program across global operations, resulting in a boost of the workforce engagement by 30%, and subsequently increasing safety awareness skill set attainment; improving overall offshore safety culture, all while reducing operating costs by up to 70% and cutting carbon footprint through the elimination of 15,000 manhours and half a million paper cards each year, when compared to previously used methods and workflows

A system dynamics view of a behavior-based safety program in the construction industry

2018 ◽  
Vol 104 ◽  
pp. 202-215 ◽  
Author(s):  
Brian H.W. Guo ◽  
Yang Miang Goh ◽  
Karen Le Xin Wong
Keyword(s):  
System Dynamics ◽  
Construction Industry ◽  
Safety Program ◽  
Behavior Based

Aircraft Maintenance Research: The Nasa Program

2000 ◽  
Vol 44 (22) ◽  
pp. 771-774 ◽  
Author(s):  
Barbara G. Kanki
Keyword(s):  
Risk Analysis ◽  
Human Factors ◽  
Human Error ◽  
Skills Training ◽  
Aviation Safety ◽  
Management Skills ◽  
Safety Program ◽  
Research Activities ◽  
Maintenance Resource Management ◽  
Human Factors Research

Some of the Maintenance Human Factors research activities sponsored by the NASA Aviation Safety Program (AvSP), and their historical precursors are described. With the goal of developing interventions that reduce human error and enhance safety and effectiveness in maintenance operations, four key product areas include: 1) human factors task/risk analysis tools, 2) models and tools for enhancing procedures, 3) recommendations for Maintenance Resource Management skills, training and evaluation, and 4) advanced display technologies for training and job aiding.

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