Question OPS 03

OPS-03 What changing sequence of failures and recovery should a two-to-three-day practical exercise let people practise together?

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Why this matters

Real preparedness connects power, communications, transport, supplies and available people over time, so the exercise should show how these affect one another.

What to bring back

A scenario pack for two to three days of practical testing, with starting conditions, a timed sequence of failures and recovery, sources and assumptions, changing dependencies and a clear account of what is simulated. Digital twins can model any chosen time span; record that span separately from the practical exercise and computer runtime.

What we know so far

• comprehensive rebuild plan — reviewed source; public copy can be added through the evidence process (Sections 1, 7 and 9)
• supporting research — reviewed source; public copy can be added through the evidence process (Alfred source distinction and scenario-learning originals)
• Professional review and comparison of proposed improvements (When this work overlaps professional or public-authority responsibilities, compare the proposal and Luke's research with applicable industry/global best practice and relevant legal-engine sources. Record differences, reasonable improvements and deficiencies, with the responsible reviewer and response. Routine authorised drafting and wiki work can advance.)
• Council plan crosswalk and proposed Aura integration (Relevant question row identifies the management/recovery source section and printed/PDF page. AI-generated analysis, 21 October 2026; proposed checks and actual review/operating agreements retain separate status.)

AI-generated potential answers

For discussion and review · research checked 2026-10-20. These are AI-generated options and transfer assessments. The user's request and research method identify the source of this work. The source catalogue states what the references establish. The decision and approval record retains its own status.

Plan a practical exercise over two to three days, connecting grid loss, ferry interruption, communications gaps, changing weather, staff relief and recovery. Use separate storm, cyclone and fire branches, with timed challenges and observable decisions. Record what was simulated and the actual participant time.

Existing-practice adaptation

AI-generated adaptation of an existing pattern. Apply AIDR's objective-driven exercise method: start with ordinary service, introduce power and transport failures, add a request handover and staff absence, then restore connections and reconcile records. Label every injected message and simulated resource explicitly.

Research basis: Managing Exercises Handbook.

Future concept to explore

AI-generated future concept. Use an XR or desktop twin to generate branching challenges while an exercise controller authorises each change. Future AI/SI assistants could compare decisions across runs and suggest a fresh branch without turning a simulation into real operational instructions.

Examples and local differences

• Managing Exercises Handbook: AI transfer assessment: Set the learning objectives and evaluation method before running a scenario. Local difference to check: National exercise guidance supplies a method; Luke's Alfred account supplies a local starting experience, and professionals review scenario realism.

Evidence to bring back next

• Write an exercise concept with objectives, participants, pause conditions and evaluation roles.
• Run a short tabletop first and use the observations to refine the practical exercise over two to three days.

People and connected choices

Who reviews: Luke, as project initiator, prepares and advances the exercise proposal. Prospective operators and relevant subject specialists review its assumptions, realism and professional requirements; official issuers and site authorities retain their decisions about public instructions and field activity. Participation and review roles are to be confirmed.

Connected questions: OPS-01, OPS-02

Work state: open. Assigned person or AI assistant: Ready to be assigned.

Research and alternatives can move ahead while connected decisions develop. Before acting on a choice, check the people, evidence and approved scope in People decide.