Should the Nearest Crew Switch First When Three Rural Circuits Go Dark?

What it does

A feeder outage alarm reaches the control room, for example a protection trip that leaves three rural circuits dark, and the Field Operations Manager reopens the repair crew route. The alarm changes which crews are qualified for the work, which switching windows hold, and which customers rank first. A slow response extends minutes off supply and risks the regulated restoration target.

The optimizer pulls the live picture: open trouble tickets, crew qualifications and hours worked, switching orders, vehicle locations, and access constraints on private land. It discards sequences that breach safety isolation rules or shift limits. It then ranks the rest by customer minutes restored against travel cost. It flags stale outage estimates, tickets that two depots both claim, and crews whose certification has expired.

The Field Operations Manager releases the ranked sequence, reorders it, or holds it pending better fault data. The Operational Risk and Resilience Manager steps in only when a route touches a safety isolation or a regulated reporting threshold. Authority stays with the accountable manager, and each override is stored with its reason. Repeated overrides on one constraint send the rule back to the planning team.

Where the value comes from

Each feeder outage alarm pulls the Field Operations Manager into rebuilding a dispatch picture from tickets, crew rosters, and switching plans. Handing that assembly to the solver returns attention to restoration itself, since the sequence arrives ranked with its exceptions listed. In Power Utilities, the measurable effect is fewer customer minutes lost while a plan is still being agreed.

To build the business case, the client measures three things: annual volume of dispatch routing decisions, baseline minutes per plan review, and fully loaded hourly cost of control room staff. Those inputs feed the `transaction_based_time_saving` calculation, adjusted by the benchmark reduction and by the scope, adoption, and confidence factors. Dispatch logs and override reasons then show how much of the projected saving is actually taken.

Other streams are measured but held apart. `misrouting_reduction` counts crews sent to the wrong fault, and the corrections consume the same planning minutes as the headline. `throughput_increase` needs an independent capacity baseline before extra dispatches per planner can be valued. `decision_traceability` and `process_consistency` improve the regulatory record without carrying a cost pool. Kept separate, the saving survives the question of how it was derived.

How work changes

Manual route construction declines for the Field Operations Manager. The role spends less time checking locations, capacity, travel limits, and service windows one by one. It also spends less time rebuilding the repair crew route after every minor change.

Structured review increases for the Field Operations Manager. The role examines AI-ranked options, tests exceptions, records override reasons, and confirms that the delivery sequence fits operating reality. This makes judgment more explicit.

The Operational Risk and Resilience Manager participates conditionally, not as an equal daily user. They review recommendations when safety, compliance, cost, customer priority, or resource authority thresholds are crossed. Routine route choices remain with operations.

Required skills include constraint interpretation, route economics, exception review, and accountable approval. Freed hours are monetizable only when the organization reduces overtime, absorbs more volume, avoids hiring, or redeploys planners to measurable work.