APICS Exam CPIM-MPR Topic 3 Question 89 Discussion

Actual exam question for APICS's CPIM-MPR exam

Question #: 89
Topic #: 3

A forecasting method that responds slowly to changes in demand would be most appropriate when the historical demand pattern shows a major:

Aseasonal component.

Brandom component.

Ctrend component.

Dcyclical component.

Show Suggested Answer

Suggested Answer: B

by Fidelia at May 31, 2024, 06:04 PM

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Kanisha

12 months ago

B is the way to go. If the demand is mostly random, then a slow-responding forecast can help filter out the noise and give a more accurate prediction. Although, it does sound a bit like a Magic 8-Ball approach to forecasting.

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Merri

12 months ago

Hmm, I'm torn between A and D. Seasonal and cyclical patterns both seem like they'd benefit from a slow-responding forecast. Maybe I should just roll a dice to decide?

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Marion

11 months ago

B) random component.

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Viola

11 months ago

A) seasonal component.

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Leonida

12 months ago

Definitely C. A trend component in the historical demand would call for a slow-responding forecasting method to capture the overall direction.

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Rosita

1 years ago

I think the answer is D. A forecasting method that responds slowly would be best for a cyclical demand pattern, as it can smooth out the ups and downs.

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Emily

11 months ago

I see your point, but I still think D is the best option. It would help in smoothing out the cyclical fluctuations in demand.

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Roselle

12 months ago

I think A could also be a good choice. Seasonal demand patterns would benefit from a forecasting method that responds slowly.

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Sanda

12 months ago

I agree, D is the correct answer. It makes sense to use a method that responds slowly for a cyclical demand pattern.

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Chauncey

1 years ago

I disagree, I think a forecasting method that responds slowly would be best for a trend component.

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Felix

1 years ago

I agree with Annice, because seasonal patterns are predictable and don't change quickly.

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Annice

1 years ago

I think a forecasting method that responds slowly would be best for a seasonal component.

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