In FMEA-based risk assessment, you identify possible failure modes and judge how serious the impact would be, how likely the failure is to occur, and how likely you are to detect it before it causes trouble. The three factors you evaluate are Severity (how bad the consequence would be), Occurrence (how likely the failure is to happen), and Detection (how detectable the failure is with current controls). Each factor is scored, and those scores are multiplied to produce a Risk Priority Number, which you use to rank and prioritize actions. The goal is to focus maintenance efforts on the most significant risks by reducing the likelihood of failures, lowering their impact, or improving detection so problems are caught early. In this CBM T6 context, that combination of Severity, Occurrence, and Detection with an RPN and subsequent prioritization is the standard approach.

In a controlled ejection without intercom, you need a quick, clear signal that the checklist is finished and everyone knows you’re ready to proceed. A thumbs up after the checklist run fits this perfectly: it’s a simple, nonverbal cue that is immediately visible, unambiguous, and can be given right at the moment the checklist is completed without relying on voice communication or special equipment. Other signals like holding pink pages up or three face curtain signals require additional conventions or visibility that may not be as universally understood or as reliably noticed in the heat of the moment. Verbal confirmation, while common with intercom, isn’t practical when intercom is unavailable, as it can be drowned out by noise or missed altogether. So, the thumbs up after the checklist run is the most reliable way to indicate completion.

When protecting data during system changes, having formal change control in place is essential. This approach introduces a structured process: a change is documented, its potential impact on data integrity is analyzed, it receives appropriate approvals, it’s tested in a controlled (non-production) environment, and there’s a planned schedule with a rollback option and an auditable record of what was done. These steps help catch issues before they affect live data, preserve data relationships and constraints, and ensure you can revert if something goes wrong. Bypassing change control allows changes to be made without review or testing, which can introduce data corruption, mismatches, or loss, especially when data structures or validation rules are altered. Having no formal process means there’s no consistent way to assess risk or track changes. And saying that data integrity isn’t affected by changes ignores the reality that altering systems often changes how data is stored, related, or validated. Formal change control is the safeguard that minimizes those risks and maintains reliable, trustworthy data during updates.

The sequence of steps for performing a process is defined by the approved standard operating procedure for that process. An SOP is a formal, controlled document that lays out the exact method, the order of operations, roles and responsibilities, required tools, timing, and any safety or quality checks. It serves as the authoritative reference for how the process should be carried out, and changes typically go through a formal change-control process to keep everyone aligned. A work instruction can exist to provide more detailed, task-level guidance, but it is usually built from the SOP and may not govern the overall process sequence itself. A generic safety manual is broad and non-specific to a particular process, so it won’t prescribe the exact steps. A memo from management is informal and not a controlled source for how to perform a process. So, the approved SOP for that process is the governing document.