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APICS Exam CPIM-MPR Topic 3 Question 89 Discussion

Actual exam question for APICS's CPIM-MPR exam
Question #: 89
Topic #: 3
[All CPIM-MPR Questions]

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

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Suggested Answer: B

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

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Kanisha
1 years 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
1 years 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
12 months ago
B) random component.
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Viola
12 months ago
A) seasonal component.
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Leonida
1 years 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
1 years 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
1 years 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
1 years 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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