23 Jun Safety Engineering
Safety and reliability are rigorously assessed during the design of dependable systems. Safety-critical systems are an integral part of our life. When they fail, the human, environmental and financial costs are significant. Safety critical systems are extensively used in many industries, including the aerospace, automotive, medical, and energy sectors. It is expected that safety critical systems possess a high level of safety and reliability. While safety is the avoidance of harm to people and the environment, reliability is the ability to perform the intended function uninterrupted by a failure, which is often a precondition for safety. Both properties are crucial, and as systems become more complex, their prediction via analysis plays a vital role in the successful design and development of the system; at the same time, with increasing complexity analyses become increasingly difficult (Kabir and Papadopoulos, 2018).
Enhance process safety include process design methodologies for improving inherent safety and cognitive engineering to reduce human errors. Their aim is to reduce the number and the consequences of possible deviation events, which depends predominantly on quality of the equipment and human error potential (Srinivasan et al., 2019).
Safety indicators provide feedback about systems to ensure that controls systems are in the safe envelope of design. They are usually linked to a target to determine if they are on track concerning goal, objective, and required actions (Bellamy, 2012). The industry can improve the effectiveness of the safety management system by focusing on the most critical issues concerning hazards and risks. Safety indicators can be used to monitor the level of safety in a system to provide the necessary information for decision-makers about where and how to act (Hale, 2009). However, in the process industry, it is not easy to establish a relationship between system discrepancy and process safety. Often the challenge involves developing reliable and constant indicators that can measure safety performance effectively (Sultana et al., 2019).
- Bellamy, L. (2012). “A literature review on safety performance indicators supporting the control of major hazards”. RIVM report, National Institute for the Public Health and the Environment, Dutch Ministry of Health, Welfare and Sport.
- Hale, A. (2009). “Why safety performance indicators?” Safety Science, 47, 479-480.
- Kabir, S., Papadopoulos, Y. (2018). “A review of applications of fuzzy sets to safety and reliability engineering”. International Journal of Approximate Reasoning, 100, 29–55.
- Srinivasan, R., Srinivasan, B., Umair Iqba, M., Nemet, A., Kravanja, Z. (2019). “Recent developments towards enhancing process safety: Inherent safety and cognitive engineering”. Computers and Chemical Engineering, Volume 128, Pages 364-383.
- Sultana, SH., Andersen, B. S., Haugen, S. (2019). “Identifying safety indicators for safety performance measurement using a system engineering approach”. Process Safety and Environment Protection.