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APICS CPIM-MPR Exam - 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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Willis
3 months ago
Yeah, seasonal makes sense for slow responses.
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Domingo
3 months ago
Wait, are we sure about that? Seems off.
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Dalene
3 months ago
Cyclical changes can also be significant.
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Billye
4 months ago
I disagree, trends are more important here.
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Mabelle
4 months ago
Definitely a seasonal component!
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Yoko
4 months ago
I thought that random components are unpredictable, so a slow method wouldn't really fit there.
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Irene
4 months ago
I'm leaning towards cyclical components, but I feel like I might be mixing it up with trends.
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Yasuko
4 months ago
I remember practicing a question like this, and I think seasonal components require more responsive methods, right?
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Scarlet
5 months ago
I think a slow response method might be best for a trend component, but I'm not entirely sure.
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Desiree
5 months ago
Alright, let's see. A slow-responding forecasting method would be best for a demand pattern with a major trend component, right? That way it doesn't overreact to short-term fluctuations.
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Stephaine
5 months ago
I think the key here is to identify the demand pattern that would benefit most from a forecasting method that doesn't react quickly to changes. A seasonal component seems like the obvious choice.
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Ben
5 months ago
I'm a bit confused on this one. Is it looking for the demand pattern that would make a slow-responding forecasting method most appropriate? I'll have to review my notes on the different demand components.
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Tamekia
5 months ago
Hmm, this seems like a tricky one. I'll need to think carefully about the different demand patterns and how they would affect the forecasting method.
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Sunshine
5 months ago
Okay, I've got this. A forecasting method that responds slowly would be best for a demand pattern with a major seasonal component. The slow response helps smooth out the seasonal fluctuations.
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Eveline
5 months ago
Okay, I've got this. Automated Change Management is responsible for automatically updating things like need-by dates on purchase orders and changing the ship method on sales orders. I'm pretty confident those are the two correct functions listed here.
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Antonio
5 months ago
I'm leaning towards "Tags," but honestly, I'm having a hard time recalling the specifics and how they relate to spacing.
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Bernardine
5 months ago
Hmm, I'm not too familiar with YUM repositories and Oracle VM Manager. I'll need to think this through carefully.
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Kanisha
2 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
2 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
2 years ago
B) random component.
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Viola
2 years ago
A) seasonal component.
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Leonida
2 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
2 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
2 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
2 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
2 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
2 years ago
I disagree, I think a forecasting method that responds slowly would be best for a trend component.
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Felix
2 years ago
I agree with Annice, because seasonal patterns are predictable and don't change quickly.
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Annice
2 years ago
I think a forecasting method that responds slowly would be best for a seasonal component.
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