APICS Exam CPIM Topic 2 Question 72 Discussion

Actual exam question for APICS's CPIM exam

Question #: 72
Topic #: 2

[All CPIM Questions]

are best used for forecasting products with stable demand where there is little trend or seasonality.

ADemand averages

BEstimated calculations

CMoving averages

DNone of the above

Show Suggested Answer

Suggested Answer: B

by Willodean at Jul 26, 2023, 03:06 AM

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Shizue

1 months ago

I heard the exam has a new section on 'Forecasting with Ouija Boards' - maybe that's the right answer here?

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Tegan

1 months ago

Moving averages, of course! I feel like this is a trick question - who would actually use demand averages for that kind of forecasting?

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Deeanna

20 days ago

I agree, demand averages wouldn't be very useful in that scenario.

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Jannette

1 months ago

Moving averages, definitely. They work best for stable demand.

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Kami

2 months ago

A demand averages, really? That sounds like it would work better for volatile demand. I'm sticking with C.

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Gregg

27 days ago

I see your point, but I still believe moving averages are more suitable for this scenario.

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Floyd

29 days ago

I think demand averages could work for stable demand.

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Effie

2 months ago

I'm not sure, but I think demand averages could also work.

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Fredric

2 months ago

This one's tricky, but I'm going with D. None of the above seem quite right for that scenario.

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Cyril

4 days ago

Well, it's always good to consider all options before making a decision.

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Cory

6 days ago

I'm not sure about that, I think B) Estimated calculations might be more accurate.

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Isaiah

14 days ago

I agree, moving averages can help smooth out any fluctuations.

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Elvera

1 months ago

I think C) Moving averages could work for stable demand.

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Josephine

2 months ago

Hmm, I think C is the correct answer. Moving averages are great for stable demand with little trend or seasonality.

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Muriel

2 months ago

I agree with Giovanna, moving averages are best for stable demand.

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Giovanna

2 months ago

I think the answer is C) Moving averages.

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