In aviation safety management systems (SMS), locations are often underutilized and neglected detail when reporting or managing safety issues, because modern aviation safety databases can't trend this data effectively.
Furthermore, it’s simply easy to gloss over such details as – what difference does it make? In truth, adding such detail could make no difference to ongoing continuous improvement as risk controls are implemented that should be location agnostic. On the other hand, it could clarify glaring safety risks in your operating environment that would otherwise go unnoticed.
The greatest benefits of a chart like the one at the right are:
In the report, we see locations structured and organized in a tree format that moves from general locations to more specific locations. For example; Anchorage Airport → C Gates → Gate C3 → Loading Ramp. And so on.
Such an organizational structure of locations will give you all the data needed to identify significant location trends. For example, you might identify several issues located at gate C3, or on C3’s loading ramp. Having a chart that lists the top 5 locations makes identifying trouble spots as quickly as possible.
This chart is useful in several situations. An important part of reviewing the effectiveness of safety policies or procedures is the effectiveness of interactions between different employee groups. Interactions are important because successful interactions necessitate effective communication.
In a systematized industry such as the aviation industry, interactions will often happen at the same locations, and breakdowns in communication at these interactions “checkpoints” can result in detected (and subsequently reported) safety issues.
Thus, the Issues by Location Chart is useful for reviewing procedures' effectiveness for facilitating quality communication and interactions. A natural result of this chart is that you can create a visual map for your aviation SMS' vulnerabilities. If you were to put issue locations onto a map, you would have a second opportunity to see themes.
Through either using the Issue by Location chart or by mapping the locations, this chart will reveal several important things about your SMS:
If patterns are identified in with the Issues by Location Chart, it could be a product of:
Either way, if any safety issues have been reported in close proximity to each other, a safety manager or department head will hopefully be able to quickly assess the root cause of the issues.
This chart can be created in an unsophisticated aviation SMS data management spreadsheet or with a professional SMS database in one of two ways:
In less sophisticated SMS data management scenarios, such as those using MS Excel spreadsheets, you will simply need to filter your results and manually tabulate the data. In aviation SMS software, this information will automatically tabulate in real-time whenever users with the appropriate permissions access the report. Either way, acquiring the data for an Issue by Location chart is straightforward.
Indirectly, this chart relates very closely to Safety Policy and Safety Assurance in the Aviation SMS Four Pillars.
Aviation service providers with more than 40 employees, or those operating under EASA rules, will need a database to manage aviation SMS data requirements. Such tools are affordable and save considerable time and energy, especially when it comes to demonstrating regulatory compliance.
Being able to easily see where safety issues are affecting operations is a benefit that most modern SMS databases can provide. Over the course of the SMS' lifetime, the time and energy to manually manage just this one simple risk management metric will overwhelm a spreadsheet SMS. Safety managers in the early years of an SMS implementation are not looking forward five to ten years into the future when this location data will really become useful for predicting future events.
The predictive risk management phase is where most aviation SMS aspire to practice. However, you need historical data and the means to easily mine that data to fully capitalize on the collected SMS data. The predictive analysis phase relies upon historical operational data to predict future events. SMS implementations that neglect to capture important risk management data in the early years will certainly not have the same predictive risk management capabilities as those operators with the foresight to document their SMS risk management activities in the database.
Here is a good example of how a basic, user-friendly hazard reporting solution can benefit your company. Tracking locations and report generation is simple and makes your company appear more professional to regulatory agencies and prospective clients.
Last updated June 2024.