What can asset intensive industries gain by better managing operational risks?
The physical safety of employees and the wider community affected by an organisation’s products, services and operations is paramount. The United States Bureau of Labour Statistics reported that private industry employers indicated 2.8 million nonfatal injuries and illnesses occurred in 2022, up from 7.5 percent from 2021. This data suggests that despite tighter regulations to ensure safe and healthy working conditions, incidents continue to rise. And while many factors can influence these injury and illness rates, including changes in industry practices, advancements in safety equipment and variations in reporting standards, more can be done to prevent harm from being done. The energy, resources, mining, power generation, heavy industrial, and transport sectors, known as asset intensive industries, experience inherent hazards and threats to their operations, often referred to as operational risks. These operational risks can wreak havoc through incidents and accidents resulting in extensive property and environmental damage, loss of license to operate, tarnish reputations, and most concerningly, serious injuries as well as the loss of lives. Workplace safety rules and environmental stewardship continue to be under the microscope, even more so for asset intensive industries. While organisations are intently looking to prevent incidents and protect assets, a lack of proper information mining hampers the recognition of the most significant operational risks. The most common response to risks occurs after the threat becomes an event. Investigations identify root causes, usually leading to additional controls, sometimes resulting in increased regulations. In some instances, lawsuits, fines, and reputation damage ensue. What if leaders could identify and rank risks to then address what’s inside their control? Then using analysis indicators, leaders could continuously monitor controls and information management. This article gives organisations a framework to reposition operational risk as a strategic lever, with emphasis on being proactive and drawing on external learnings to prevent the unexpected from happening in the first place.