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OMGT 3223 Mid-term Exam Questions and Answers Latest Update

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OMGT 3223 Mid-term Exam Questions and Answers Latest Update

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  • October 27, 2024
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OMGT 3223 Mid-term Exam Questions
and Answers Latest Update
BDM Applications - Answer-Finance, Management, Operations and supply chain
management, IT, marketing, & Hospitality management

BDM Process step 1 - Answer-Identification of the problem- What we want to
accomplish? How success will be measured? (Recognize the problem and do a brief
examination of the problem)

BDM Process step 2 - Answer-Definition of the problem- Identify key parameters, Define
major assumptions, define what factors are in scope and what factors are out of scope
(Recognize the problem in detail and determine what you can realistically do to solve it.)

BDM Process step 3 - Answer-Modeling of the problem - Develop a model of the
situation. Analytical (Quantitative Models) (What models can we use to solve our
problem? How can we best organize information to efficiently solve the problem?)

BDM Process step 4 - Answer-Initial Model Solutions/Conclusions- Develop a
preliminary set of results, Validate(behaves correctly) and verify(a reasonable
representation of the real world) models (What conclusions can be made from the data
gathered via modeling?)

BDM Process step 5 - Answer-Review and iteration- Test new ideas, perform "What if"
Analyses (Sensitivity Analyses) (Use the information concluded from use of models to
formulate and final solution/strategy.)

BDM Process Step 6&7 - Answer-Implementation and Feedback- recommendations put
into action, Track results (Implement & Monitor new strategy in terms of effectiveness
and efficiency)

Break-Even Analysis - Answer-Set profit = zero
Fixed Cost/(Price-Variable Cost)

Models are .... - Answer-Simplified representations of real life systems.

In quantitative models outputs are mathematical functions of one ore more __________.
- Answer-Inputs

Model Purposes are either - Answer-Descriptive, Prescriptive or Predictive

Descriptive Model - Answer-models the behavior of a system; calculates output given a
set of inputs or perform a sensitivity analysis. e.g. Simulation Models

, Simulation Models are a subset model of Descriptive models and calculates profit
associated with any given production plan. (Also a model that simulates the expected
return associated with a specific investment)

T or F? - Answer-T

Prescriptive model - Answer-uses keywords best, optimal, min cost, max profit;
prescribes a solution; helps with decision making (Prescribes Solutions) Often built as
extensions/enhancements to descriptive models. E.g. Optimization Models

Optimization Models can be used to determine the
_____________________________......____. - Answer-Production plan that will
maximize profits. (Or the investment that will maximize expected returns)

Predictive Model - Answer-capable of forecasting specific aspects of the system's
behavior; model for unpredictable outputs. (The exact functional relationship between
inputs and outputs is not known or cannot be fully described within the data available).
E.g Regression Models

An example of a regression model is a model that..... - Answer-Estimates property
values using input values such as square footage, location, etc.

Parameter Certainty - Answer-Deterministic & Stochastic

Deterministic Model - Answer-Known values; ALL inputs are assumed to be known with
certainty (NO PROBABILITY DISTRIBUTION, i.e. number of students in class). Can be
used for both desriptive and prescriptive purposes.

Stochastic Model - Answer-Uncertain values; Some inputs are random variables;
typically random values are specified from probability distributions. Outputs are typically
random variables with probability distributions. We can summarize the outputs of a
stochastic model using a sigle value e.g. average cost, however, often times the
probability of specified outcomes is mesaured using a histogram.

Model parameters can be - Answer-Known values (# of students in a class) or Uncertain
values (expected # of viewers if we run a tv commercial)

Many real world systems are with uncertain parameters are modled as ___________
models because they are easier to build and solve. - Answer-Deterministic

Data Tables - Answer-What if/Sensitivity analysis

Goal Seek - Answer-Search specified output level

Solver - Answer-Optimization

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