Sanjaay Gowda T S
General Electric Company practice

ORIGINAL COMPANY-CONTEXT PRACTICE

Forecast service workload from an evolving installed base

Data scienceHardConcept

Original practice scenario: A hypothetical aircraft-engine service team forecasts incoming shop work. The active fleet changes and some engines have incomplete usage observations. Design a baseline evaluation.

Written for independent practice using company context; this is not a verified question from a company interview.

A REASONED APPROACH

Model answer.

Use exposure and installed-base changes alongside historical arrivals. A rising service count may reflect more active equipment rather than a deterioration in reliability.

Work through it

  1. Define the workload unit and planning horizon, retaining fleet entries, exits and known usage coverage as of each forecast origin.
  2. Compare transparent historical-rate and calendar baselines with richer predictors using rolling backtests, keeping future maintenance outcomes and later fleet revisions out of features.
  3. Report workload error and interval coverage by fleet family and maturity, separating scheduled work from unexpected arrivals when those decisions differ.

Tradeoffs to discuss

  • Detailed equipment histories can improve segmentation but increase missing-data and maintenance costs; pooled baselines are simpler while obscuring local variation.

Common pitfalls

  • Do not treat missing usage as zero exposure.
  • A workload forecast is a capacity-planning exercise, not an approved prediction of individual engine safety.

KEEP PRACTISING

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