Risk Assessment / Security and Safety Plan
Personal supplies such as medical, first aid and other equipment like flash lights must be available and maintained. Emergency responders must be contacted as soon as possible; they are trained to take the best course of action to save lives. People must be evacuated from dangerous areas.
Manmade hazards include everything from driving to nuclear meltdowns, but most of the hazards we face are associated with our work environment. Many organizations have developed processes, standards, rules, laws, or codes designed to reduce or eliminate the risk associated with hazards. No single process, etc. can identify every hazard we face; therefore, we must use many different methodologies for identifying and analyzing hazards in order to reduce, engineer out, or eliminate our risk. However, before we can effectively control the hazardous conditions or unsafe behaviors, we need to become familiar with their characteristics and develop steps to identify and analyze the risk associated with them (Oregon OSHA Public Education, 2005).
Making employees aware of the problem, and their individual responsibility, can often disclose security risks that might be otherwise overlooked. In addition, they may be a significant source of intelligence concerning an impending, or ongoing, threat. Good employee awareness and communication are the first steps in designing and implementing a risk-reduction program within an organization.
Haddow, G. D., Bullock, J. A., & Coppola, D. P. (2011). Introduction to emergency management. Burlington, MA: Butterworth Heinemann.
Bayesian network and game theory risk assessment model for third-party damage to oil and gas pipelines. Cui, Y.; Quddus, N.; and Mashuga, C., V. Process Safety and Environmental Protection, 134: 178-188. 2 2020.
Oregon OSHA Public Education, 2005
Understanding industrial safety: Comparing Fault tree, Bayesian network, and FRAM approaches. Smith, D.; Veitch, B.; Khan, F.; and Taylor, R. Journal of Loss Prevention in the Process Industries, 45. 2017.
Risk analysis of deepwater drilling operations using Bayesian network. Bhandari, J.; Abbassi, R.; Garaniya, V.; and Khan, F. Journal of Loss Prevention in the Process Industries, 38: 11-23. 11 2015.