Dates: Jul 13, 2026
A majority of Process Safety Management (PSM) tools and risk methodologies are focused on risks at individual sites or process units. However, many corporations with many operating facilities need to understand and manage process risk across their entire enterprise. Effective management of this risk is likely to involve a combination of strategies, including risk avoidance, risk reduction, risk transfer (loss insurance), and risk retention (intentional and unintentional). In practice, the administration of the plans will result from activity at a number of levels in the firm, ranging from risk managers handling insurance aspects, to engineers responsible for the safe operation of individual plants.
This article presents a framework for analyzing process facility risk at the enterprise level, enabling a range of risk strategies to be analyzed and determined on a coherent basis at a variety of organizational levels.
The selection of the appropriate risk-reduction measures involves choices between expenditures to improve physical plant safety and expenditures to improve PSM organization. These demands for resources must be judged alongside funding requests for production-oriented expenditures to improve operational reliability or increase throughput and yield.
Issues of timing are also involved as modifications will need to be scheduled within constraints set by plant maintenance, regular shutdowns, and operations-related improvements. While it is preferable to have plans in place to deal with all safety-related inadequacies, available resources may require prioritization of these issues. Attempting an overly aggressive risk-reduction program may overwhelm available human and financial resources, making it necessary to schedule work according to its safety priority.
Evaluation Process
Risk reduction is typically achieved by a three-step process:
Risk identification and quantification in the process industries can be addressed by well-established methods. Many protocols have been developed for major risk surveys that entail experienced engineers on a site visit reviewing both the plant and the human aspects of operational safety. Thorough major risk surveys are an excellent basis for identifying the principal sources of risk and recommending practical steps for improvements.
A more systematic approach to risk identification is the use of Process Hazard Analysis (PHA) methodologies in which the plant is examined equipment item by equipment item, and line by line, through the use of plant piping and instrument diagrams (P&IDs). Risk qualification of both surveys and PHA studies can be achieved in some measure using risk-ranking criteria to prioritize findings. A matrix can then be used to assign an action status to each recommendation based on relative risk. This process of status determination emphasizes that a safety recommendation is not something which can be made and then forgotten. The results specify necessary actions, with some actions being taken sooner than others. It must be recognized that there is an element of judgement involved in risk identification and qualification, and that all results should be regarded as approximations.
In applying this approach, much can be accomplished without going to the extent of a detailed planning and cost-estimating exercise for each safety-related expenditure. It is useful to classify the potential project work into items which can be managed with plant resources (small projects) and those requiring external support (larger projects). Similarly, expenditure ranges can be estimated using order of magnitude criteria. Expenditure items for all facilities within the organization are then aggregated for separate loss-avoidance analysis. Although this may seem crude when considering an individual project or loss, the range estimating approach can give useful results if a large number of improvement opportunities are involved.
A cost/benefit analysis can now be performed by using a Monte Carlo simulation modeling approach to develop a probability distribution of all loss categories. Monte Carlo simulation is a class of computational algorithms that rely on repeated random sampling to compute results. This perspective can be used to set priorities for allocating resources to achieve the greatest benefit in managing overall risk across the company. Loss averted can be considered revenue and treated in the same way as if investments were made to increase positive cash flow. Rather than immediately eliminating those recommendations with poor cost/benefit ratios, it may be worthwhile to reevaluate them. While they may appear financially less attractive than other improvements, they may nevertheless be important investments in terms of safety. These recommendations could be retained for future consideration depending upon their degree of impact on loss avoidance. It is important to remember that process modifications and other expenditures aimed at reducing the chance of injury or fatality will also significantly lessen the potential for financial loss.
Facility Level Loss Profile
This tool is most useful for companies with several plant locations, as it can provide guidance in setting priorities for allocation of resources to achieve the most direct risk improvement firm wide. It also quickly identifies work which can be approved without the expense of a detailed risk analysis study. The method is useful for rapid assessment of large, complex process facilities or locations with multiple plants. It also provides management with a comprehensive summary of the economic implications of safety surveys or PHA study recommendations, yet requires only a small incremental effort.
By prioritizing safety-related modifications and integrating risk management across all organizational levels, corporations can effectively enhance their overall safety performance without compromising operational efficiency. ioMosaic delivers practical solutions for safety, risk, and business challenges facing our clients. Call us today at 1.844.ioMosaic or send us a note for answers on process facility risk. We'd love to hear from you.