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APICS Exam CPIM-Part-2 Topic 5 Question 25 Discussion

Actual exam question for APICS's CPIM-Part-2 exam
Question #: 25
Topic #: 5
[All CPIM-Part-2 Questions]

When developing a quantitative model to support sales and operations planning (S&OP), which of the following statements is most true?

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Suggested Answer: B

A quantitative model is a mathematical representation of a real-world situation that involves numbers, variables, equations, and logic. A quantitative model can be used to support sales and operations planning (S&OP), which is a process of aligning the demand and supply plans of an organization at an aggregate level. To develop a quantitative model for S&OP, the following statements are most true:

It isnotnecessary to capture all of the detail in order to create a useful model. In fact, too much detail can make the model complex, unrealistic, and difficult to solve.A useful model should capture the essential features of the situation and simplify the irrelevant or insignificant aspects1.

Aggregation will benecessaryto develop an appropriate model. Aggregation is the process of combining data or information into higher-level categories or groups. For example, products can be aggregated into product families, customers can be aggregated into market segments, and time periods can be aggregated into months or quarters.Aggregation can help reduce the size and complexity of the model, as well as improve its accuracy and reliability2.

Clear objectives arenecessaryto begin the modeling process. Objectives are the desired outcomes or goals that the model aims to achieve or optimize. For example, an objective of S&OP could be to maximize profit, minimize cost, or balance inventory.Clear objectives can help define the scope, structure, and criteria of the model3.

Asignificantlevel of effort is required to develop a model. Developing a model involves several steps, such as defining the problem, collecting and analyzing data, formulating and testing the model, implementing and validating the solution, and evaluating and improving the results.Each step requires careful planning, execution, and evaluation4.


by Skye at Sep 08, 2024, 07:16 AM

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Stephania
2 months ago
I think B) Aggregation is key, but clear objectives are also important to guide the modeling process.
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Graciela
2 months ago
I see your point, Julian. But sometimes too much detail can complicate the model.
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Julian
2 months ago
I believe A) It is necessary to capture all of the detail in order to create a useful model.
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Jacki
2 months ago
I agree with Sharen. Without aggregation, the model may not be effective.
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Rima
2 months ago
Whoa there, option D? A 'minimal level of effort'? Yeah, right. Developing a good model takes work, my friend. No shortcuts allowed!
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Sharen
2 months ago
I think B) Aggregation will be necessary to develop an appropriate model.
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Veta
2 months ago
I'm gonna have to go with B as well. Capturing all the details is a recipe for analysis paralysis. Keep it simple, stupid!
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Penney
26 days ago
I'm gonna have to go with B as well. Capturing all the details is a recipe for analysis paralysis. Keep it simple, stupid!
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Azzie
1 months ago
B) Aggregation will be necessary to develop an appropriate model.
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Gilbert
2 months ago
A) It is necessary to capture all of the detail in order to create a useful model.
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Pura
3 months ago
C'mon, clear objectives are a must! How else are you supposed to know what the model needs to achieve? This is Modeling 101 stuff.
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Alaine
2 months ago
D) A minimal level of effort is required to develop a model.
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Doug
2 months ago
C) C'mon, clear objectives are a must! How else are you supposed to know what the model needs to achieve? This is Modeling 101 stuff.
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Gilbert
2 months ago
B) Aggregation will be necessary to develop an appropriate model.
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Helene
3 months ago
A) It is necessary to capture all of the detail in order to create a useful model.
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Ethan
3 months ago
Definitely agree with B. Modeling is all about simplifying complexity into a manageable framework. Too much detail just makes things overly complicated.
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Adelaide
2 months ago
Agreed, too much detail can make things too complex.
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Georgeanna
3 months ago
I agree with B. Aggregation is key to simplifying the model.
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Geraldine
3 months ago
I think option B is the most accurate. Aggregation is key to developing a useful model that captures the big picture, not getting bogged down in every minor detail.
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Hoa
3 months ago
Definitely, focusing on the big picture is key.
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Jade
3 months ago
I agree, aggregation is important for a useful model.
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