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APICS Exam CPIM-MPR Topic 1 Question 84 Discussion

Actual exam question for APICS's CPIM-MPR exam
Question #: 84
Topic #: 1
[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 Delisa at Apr 09, 2024, 09:59 AM

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Alisha
5 months ago
I think D) cyclical component could also be a valid option. Slow response might be needed for cyclical demand patterns as well.
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Sue
5 months ago
That's a good point, Helene. A trend component could also benefit from a forecasting method that responds slowly.
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Helene
5 months ago
I'm not so sure. What about C) trend component? Wouldn't a slow response also work well for trends?
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Deonna
5 months ago
I agree with Sue. A forecasting method that responds slowly would be best for seasonal demand patterns.
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Sue
5 months ago
I think the answer is A) seasonal component.
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Harrison
6 months ago
I would go with A) seasonal component as well. It makes sense to respond slowly to seasonal changes in demand.
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Monroe
6 months ago
I think both A) and C) could be correct, depending on the situation.
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Gilberto
6 months ago
I disagree, I believe it's C) trend component.
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Dalene
6 months ago
I think the answer is A) seasonal component.
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Alex
6 months ago
I think in that case we would need a forecasting method that can respond quickly.
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Salena
6 months ago
But what if there is a trend component instead?
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Rory
6 months ago
I agree, it makes sense to use a method that responds slowly if there is a seasonal component.
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Tatum
7 months ago
I'm not too sure about this one either. I mean, isn't the whole point of forecasting to, you know, actually predict what's going to happen? If the forecasting method is slow to respond, that kind of defeats the purpose, doesn't it? It's like trying to predict the weather a year in advance - by the time it actually happens, it's probably going to be completely different.
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Alida
7 months ago
Ha! Driving a car with the brakes on, that's a good one. But seriously, I think I agree with Rosann. If the demand pattern has a major trend component, then a slow-responding method might be better at capturing that overall direction, rather than getting distracted by the random noise or seasonal fluctuations.
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Mitzie
7 months ago
I don't know, man. I'm kind of torn between B and D. I mean, if the demand pattern is mostly random or cyclical, then a slow-responding forecasting method might just be missing out on a lot of important information, you know? It's like trying to drive a car with the brakes on.
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Rosann
7 months ago
I'm leaning towards option C, the trend component. I mean, if the historical demand pattern shows a major trend, then a forecasting method that responds slowly might be better suited to capturing that trend, right? It's kind of like trying to predict the weather - if there's a clear pattern, you don't necessarily need to react to every little fluctuation.
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Aleisha
7 months ago
Yeah, I agree. This seems like a pretty theoretical question. I mean, in the real world, we probably want a forecasting method that can adapt quickly to changes in demand, right? Otherwise, we might be making some really bad business decisions.
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Ty
7 months ago
Hmm, I'm not sure about this one. The question is a bit tricky, don't you think? I mean, what exactly is a 'forecasting method that responds slowly to changes in demand'? Sounds like it might be a bit outdated, don't you think?
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