A comparative analysis of process safety management (PSM) systems in the process industry
Article
Nwankwo, C., Theophilus, S. C. and Arewa, A. 2020. A comparative analysis of process safety management (PSM) systems in the process industry. Journal of Loss Prevention in the Process Industries. 66 (Art. 104171). https://doi.org/10.1016/j.jlp.2020.104171
Authors | Nwankwo, C., Theophilus, S. C. and Arewa, A. |
---|---|
Abstract | The root cause of most accidents in the process industry has been attributed to process safety issues ranging from poor safety culture, lack of communication, asset integrity issues, lack of management leadership and human factors. These accidents could have been prevented with adequate implementation of a robust process safety management (PSM) system. Therefore, the aim of this research is to develop a comparative framework which could aid in selecting an appropriate and suitable PSM system for specific industry sectors within the process industry. A total of 21 PSM systems are selected for this study and their theoretical frameworks, industry of application and deficiencies are explored. Next, a comparative framework is developed using eleven key factors that are applicable to the process industry such as framework and room for continuous improvement, design specification, industry adaptability and applicability, human factors, scope of application, usability in complex systems, safety culture, primary or secondary mode of application, regulatory enforcement, competency level, as well as inductive or deductive approach. After conducting the comparative analysis using these factors, the Integrated Process Safety Management System (IPSMS) model seems to be the most robust PSM system as it addressed almost every key area regarding process safety. However, inferences drawn from study findings suggest that there is still no one-size-fits-all PSM system for all sectors of the process industry. |
Keywords | Process safety; Climate change and safety model; Process safety management (PSM); Comparative analysis; Process industry |
Journal | Journal of Loss Prevention in the Process Industries |
Journal citation | 66 (Art. 104171) |
ISSN | 1873-3352 |
Year | 2020 |
Publisher | Elsevier |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.jlp.2020.104171 |
Publication dates | |
Online | 18 May 2020 |
Jul 2020 | |
Publication process dates | |
Accepted | 13 May 2020 |
Deposited | 06 Nov 2023 |
https://repository.uel.ac.uk/item/894q3
72
total views0
total downloads1
views this month0
downloads this month