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Workshop BI: lift capacity and waiting for parts

2 min reading
Editorial illustration: Workshop BI: lift capacity and waiting for parts

Plan workshop BI around lift capacity, technician availability and parts waiting to expose scheduling conflicts and operational blockers.

A schedule can fit technician hours yet exceed available lifts. Vehicles awaiting parts occupy resources without equivalent progress.

What the quote needs to include

Model occupancy by resource and work-order stage. Record authorized waiting without automatically turning scheduled hours into completed labor.

Calculation does not certify repair times or replace safety inspection.

Map jobs that require continuous lift occupancy and those allowing the vehicle to move between stages. Availability changes when parts arrive, customers approve work or diagnosis requires another specialist. The model must represent these dependencies. Dividing total hours by available technicians does not necessarily reflect the actual physical capacity of the workshop.

The quote should explain estimated versus actual duration. Estimates support planning, while time records explain what happened. Mixing them creates apparent precision and makes a revised customer promise harder to justify. Evaluate integration with the existing schedule before replacing the entire service tool, especially when that tool already contains approved booking rules.

Specific acceptance criteria

  • Separate physical resources from available professionals.
  • Record entry and exit from parts waiting.
  • Retain the original customer promise when rescheduling.

The exception that determines acceptance

A vehicle stays on a lift awaiting parts while another job is booked. Reporting must reveal the conflict even when a technician is free.

Include refused authorization, early parts arrival and transfer between lifts. Reporting should reflect the released resource without duplicating occupancy. Request a pending-issues view so managers can act on specific blockers. That queue often provides more daily value than an average productivity figure without context, particularly when blocked jobs occupy scarce equipment for long periods.

Reference for assessing scope

Official Power BI modeling guidance

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