What a NOMIC Ramp report looks like
A report shows where your ramp is at risk, which threats go unmanaged, and what to change first. This sample uses the NOMIC reference data: 1,302 observed ramp turnarounds. Your own report is made by the app from your checked observations, in the same layout, and compared with this reference.
What turned up most often
The share of turnarounds with at least one, from the reference data.
Threat Variation Undesired state
Shrink: what goes with work getting harder
Threats linked to more variations or undesired states in the same turnaround. These point to the conditions to fix upstream, not to the crew.
- Operational pressure → bay preparation variationsOdds ratio 4.96 (3.05–8.08), 113 turnarounds had the condition.
- Arriving load irregularities → unloading variationsOdds ratio 3.98 (2.31–6.88), 69 turnarounds had the condition.
- Freight and baggage → loading variationsOdds ratio 3.83 (2.85–5.14), 297 turnarounds had the condition.
- Freight and baggage → an undesired stateOdds ratio 3.64 (2.46–5.40), 297 turnarounds had the condition.
- Documentation → restraint variationsOdds ratio 3.42 (1.90–6.13), 48 turnarounds had the condition.
- Freight and baggage → readback variationsOdds ratio 3.33 (2.45–4.53), 297 turnarounds had the condition.
For example, when freight or baggage arrives with a problem (late, wrong, cards missing), the odds of loading, readback and restraint variations are all about three times higher, and so is an undesired state. A Learning Team would start there.
Worth a closer look: conditions that go with fewer variations
Some threats go with fewer variations of a particular kind. One possibility is that the team takes extra care once it knows there is a problem. These are questions to explore with the people who do the work, not conclusions.
- Arriving load irregularities → restraint variationsOdds ratio 0.05 (0.01–0.38), 69 turnarounds had the condition.
- Arriving load irregularities → loading variationsOdds ratio 0.06 (0.01–0.42), 69 turnarounds had the condition.
- Operational pressure → readback variationsOdds ratio 0.45 (0.23–0.87), 113 turnarounds had the condition.
Expand: what goes with work going well
In your own report, this section shows the enablers and good practice that go with work going well. The reference can't show it, because enablers and good practice weren't recorded in the original research. That is one of the things NOMIC Ramp adds.
Also in your own report
The reference data doesn't hold these, so they appear only in reports made from your own observations.
- On-time departure, kept separate from safety: ramp-side and all-cause on time (to your D0 or D15 definition), how late, by how the aircraft arrived, and the conditions that go with more minutes late. Shown for the whole round only, never by crew, shift or observer.
- How recovery happens: how often the team managed what came up, and what they did, from a list of managed responses such as sending back badly packed freight or stopping work until a load discrepancy is sorted.
- Loaded correctly and disrupted but kept normal: the observer's judgement of the load, and how many disrupted turnarounds still finished with nothing left in an unsafe state.
- The action plan: what each Learning Team decided to change, who is responsible, and the measure to watch round by round.
Reading the report
- These are links in the data, not proof of cause. Use them to choose what to look at with the people who do the work.
- Many pairs are compared, so a few links may be chance. Your report says how many.
- An odds ratio of 3 means the odds of the outcome were about three times as high when the condition was there. The interval shows the range the true value is likely to be in.