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The new forecast has four times the squared error, but operations wants it. Which model should ship?

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Two forecasts make errors in opposite directions. Calculate the operational consequences before deciding which evaluation metric should control the release.

Updated Nov 2026 · Original practice questions with worked answers and teaching rubrics. Our editorial policy explains the sources, review process and limits.

Case briefRead the inputs, then make your call

Fictional meal-preparation exercise. Daily preparation equals the forecast. Each unmet meal costs an assumed 6 USD in lost contribution and service recovery; each surplus meal costs 1 USD after salvage. No carry-over inventory or capacity constraint is included.

Scenario inputs
Day 1Actual demand 80; forecast A 75; forecast B 90.
Day 2Actual demand 120; forecast A 115; forecast B 130.
Day 3Actual demand 100; forecast A 95; forecast B 110.
Day 4Actual demand 140; forecast A 135; forecast B 150.
Unmet meal cost, USD6
Surplus meal cost, USD1
Evidence limitFour illustrative days only; future performance has not been measured.

Your task. Calculate MAE, MSE and operational error cost for each candidate. Choose the next experiment, state the cost ratio that reverses your preference and consider a separate preparation policy.

Two forecasts make errors in opposite directions. Calculate the operational consequences before deciding which evaluation metric should control the release.

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