Discuss IIBA CBDA Exam Topic 3 Question 25

An operations manager for a new hotel is in need of determining the optimum number of vans to purchase to shuttle guests to/from the airport. It will be necessary to determine the most efficient routes and schedule to follow to ensure guests do not experience excessive delays. Which business analytics technique would lend itself to supporting these types of business decisions?

ALinear programming

BFactor analysis

CRegression

DK-means Clustering
Explanation:
Linear programming is a business analytics technique that can lend itself to supporting these types of business decisions.Linear programming is a mathematical method that optimizes the allocation of limited resources to achieve a desired objective, subject to a set of constraints1.Linear programming can help the operations manager to determine the optimum number of vans to purchase, the most efficient routes and schedule to follow, and the minimum cost or time to shuttle guests to/from the airport, by formulating a linear objective function and a system of linear inequalities that represent the relevant variables, parameters, and restrictions2.
The other options are not correct business analytics techniques for these types of business decisions.Factor analysis is a statistical method that reduces the dimensionality of a large set of correlated variables into a smaller set of uncorrelated factors that explain the underlying structure or patterns of the data3. Factor analysis can help the operations manager to identify the key factors that influence the guest satisfaction or loyalty, but it cannot help to optimize the resource allocation or efficiency. Regression is a statistical method that estimates the relationship between one or more independent variables and a dependent variable. Regression can help the operations manager to predict the demand or revenue of the hotel based on the variables such as season, price, or location, but it cannot help to optimize the resource allocation or efficiency. K-means clustering is a machine learning method that partitions a set of data points into a predefined number of clusters based on the similarity or distance between the data points.K-means clustering can help the operations manager to segment the guests into different groups based on their characteristics or preferences, but it cannot help to optimize the resource allocation or efficiency.

Suggested Answer: A

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36 comments · newest first

Teri 11 months ago

Linear programming is the way to go, no doubt!

Rodrigo 11 months ago

Surprised that factor analysis isn't a good fit!

Chaya 12 months ago

K-means clustering seems off for this scenario.

Lyda 12 months ago

I think regression could work too, right?

Madalyn 1 year ago

Definitely linear programming for this!

William 1 year ago

I’m a bit confused about regression and its role here. I thought it was more about predicting outcomes rather than optimizing routes or resources.

Lashawn 1 year ago

Factor analysis sounds familiar, but I don’t see how it would help with scheduling vans. It seems more about understanding data patterns.

Alpha 1 year ago

I remember practicing a question about optimizing delivery routes, and I think it also used linear programming. It seems to fit this scenario too.

Therese 1 year ago

I think linear programming is the right choice here since it deals with optimizing resources, but I'm not entirely sure how to set up the constraints.

Karrie 1 year ago

Hmm, this is a tricky one. I'd need to think through the problem a bit more to decide which technique would be most appropriate. Maybe I'll start by listing out the key factors and constraints to see which method aligns best.

Ressie 1 year ago

Linear programming is definitely the way to go here. It's perfect for finding the optimal number of vans and the most efficient routes to shuttle guests. I feel confident I can apply the concepts we learned in class to solve this.

Sabine 1 year ago

I'm a bit unsure about this one. I know linear programming is used for optimization, but I'm not sure if it's the best fit for this specific problem. Maybe regression or clustering could also work?

Arlette 1 year ago

This seems like a classic linear programming problem to me. I'd start by identifying the key variables, constraints, and objective function, then use a solver to find the optimal solution.

Dorothy 1 year ago

I'm a bit confused by the options. Enforcing domain integrity and referential integrity - what's the difference there? I'll need to review those concepts.

Shaquana 2 years ago

This question is a real van-tastic opportunity to show off my knowledge of business analytics! Linear programming is the way to go - it's the shuttle-ing solution the operations manager needs.

Latanya 2 years ago

Linear programming, huh? Sounds like a fancy way to say 'math magic' to me. As long as it gets the job done and keeps the guests happy, I'm all for it!

Ardella 2 years ago

↳ replying to Latanya

D: Definitely, we want to make sure guests don't experience delays.

Rory 2 years ago

↳ replying to Latanya

C: I agree, as long as it gets the job done, I'm all for it!

Solange 2 years ago

↳ replying to Latanya

B: Yeah, it's all about optimizing resources and efficiency.

Shizue 2 years ago

↳ replying to Latanya

A: Linear programming is like math magic, but it helps us keep guests happy.

Cathern 2 years ago

Hmm, I was thinking regression might work, but after reading the explanation, I can see how linear programming is the more appropriate technique. Gotta love those constrained optimization problems!

Adaline 2 years ago

↳ replying to Cathern

I agree, linear programming can help the operations manager determine the optimum number of vans and the most efficient routes to shuttle guests.

Kanisha 2 years ago

↳ replying to Cathern

Yeah, regression is more for predicting demand or revenue, while linear programming is all about finding the best solution with constraints.

Arlene 2 years ago

↳ replying to Cathern

Linear programming is definitely the way to go for optimizing resource allocation and efficiency.

Ernest 2 years ago

I agree, linear programming is the best choice here. It's a powerful tool for resource allocation and logistics optimization. Definitely the right approach for this scenario.

Ranee 2 years ago

↳ replying to Ernest

Yes, linear programming is the way to go for this scenario. It can help the operations manager make data-driven decisions to improve efficiency and guest satisfaction.

Lucina 2 years ago

↳ replying to Ernest

I agree, linear programming is a powerful tool for these types of business decisions. It can help the operations manager minimize costs and ensure guests do not experience delays.

Glory 2 years ago

↳ replying to Ernest

Linear programming is definitely the best choice for optimizing resource allocation and logistics. It can help determine the optimum number of vans and the most efficient routes to shuttle guests.

Scot 2 years ago

I'm not sure, but I think C) Regression could also be a possible answer to predict demand.

Kenneth 2 years ago

I agree with you, Lura. Linear programming can help optimize resource allocation for the vans.

Lura 2 years ago

I think the answer is A) Linear programming.

Adrianna 2 years ago

Linear programming seems like the way to go for this problem. It can help optimize the shuttle service and minimize costs - that's exactly what the operations manager needs.

Marge 2 years ago

↳ replying to Adrianna

Zack: Exactly, it's the perfect business analytics technique for the operations manager to use in this situation.

Truman 2 years ago

↳ replying to Adrianna

Linear programming can help determine the optimum number of vans to purchase and the most efficient routes to follow.

Zack 2 years ago

↳ replying to Adrianna

It's a mathematical method that can allocate resources efficiently to achieve the desired objective.

Bettye 2 years ago

↳ replying to Adrianna

I agree, linear programming can definitely help optimize the shuttle service and minimize costs.

IIBA CBDA Exam - Topic 3 Question 25 Discussion