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BUAL 5380 FINAL – UPDATED QUESTIONS AND ANSWERS WITH COMPLETE SOLUTIONS VERIFIED LATEST UPDATE

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BUAL 5380 FINAL – UPDATED QUESTIONS AND ANSWERS WITH COMPLETE SOLUTIONS VERIFIED LATEST UPDATE Leave the first rating 1. The data on the current number of workers, hours per worker per month, regular wage, and overtime rates should be well known. 2. The costs for hiring and firing a worker are not trivial. 3. The unit production cost is a combination of two inputs: The raw material cost and the labor cost. defined as a model where we determine workforce levels and production schedules for a multiperiod time horizon. Understand the basic elements of an aggregate planning model. An exampel of this model would be that we assume a company would face the same situation each week. However, in reality, demands change over time. Understand what a static scheduling model is. Rounding a solution can lead to values that do not satisfy all the constraints of the LP model. For instance, if a variable is rounded up, it might exceed a resource limit, violating a constraint. Even if the rounded solution remains feasible, it may no longer be optimal. The objective function value (such as profit or cost) could be suboptimal compared to the original LP solution. Effects of rounding a solution in a linear programming model on the feasibility and optimality of the solution. A1x1+a2x2 + anxn where n is the number of decision variables where n is the number of decision variables, the a’s are constants, and the x’s are decision variables Properties: Proportionality: if the level of any activity is multiplied by constant factor, the contribution of this activity to the objective is multiplied by the same factor. Additivity: Implies that the sum of the contributions from various activities to a particular constraint equals the total contribution to that constraint. Divisibility: Means that both integer and noninteger levels of the activity are allowed. Understand how to algebraically set up a constraint in a linear programming model. The shadow price indicates the change in the optimal value of the objective when the right side of some constraint changes by one unit. - If a resource constraint is binding in the optimal solution, the company is willing to pay up to some amount, the shadow price, to obtain more of the resource - This number means the change in the objective function if the constraint is relaxed by 1 unit. So, if the capacity increases by 1 unit, the cost will reduce by $119. Shawdow price Decision Variables Objective function Constraints Characteristics (elements) of optimization problems. Various imputs blended to produce desired outputs. A company using this model would run the model periodically and set production on the basis of current inventory of inputs and the current forecast of demand and prices. Understand what a blending model is. These can be used to determine the minimum-cost shipping method for satisfying customer demands. Typically require three sets of numbers: Capacities Demands unit shipping costs Elements of a typical transportation model and the general logistics problem (network representation). Optimization models in which some or all of the variables must be integers. Define what is integer programming. - to help managers gain insight and understanding, but they can't make decisions The goal of decision analysis Alternatives- different courses of action intdended to solve a problem Criteria- factors that are important to the decision maker and influenced by the alternatives. States of Nature- Future events not under the decision makers control Characteristics of decision problems

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4/15/25, 11:07
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BUAL 5380 FINAL – UPDATED QUESTIONS AND ANSWERS
WITH COMPLETE SOLUTIONS VERIFIED LATEST UPDATE
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1. The data on the current Understand the basic elements of an aggregate planning model.
number of workers, hours per worker
per month,
regular wage, and overtime rates should
be well known.
2. The costs for hiring and firing
a worker are not trivial.
3.The unit production cost is a
combination of two inputs: The raw
material cost and the labor cost.



defined as a model where we determine
workforce levels and production
schedules for a multiperiod time horizon.
An exampel of this model would be that Understand what a static scheduling model is.
we assume a company would face the
same situation each week. However, in
reality, demands change over time.

Rounding a solution can lead to values Effects of rounding a solution in a linear programming model on the feasibility and
that do not satisfy all the constraints of optimality of the solution.
the LP model. For instance, if a variable
is rounded up, it might exceed a
resource
limit, violating a constraint.
Even if the rounded solution remains
feasible, it may no longer be optimal.
The objective function value (such as
profit or cost) could be suboptimal
compared to the original LP solution.
A1x1+a2x2 + anxn where n is the number of Understand how to algebraically set up a constraint in a linear programming
decision variables model.
where n is the number of decision
variables, the a’s are constants, and the x’s
are decision variables


Properties:
Proportionality: if the level of any activity
is multiplied by constant factor, the
contribution of this activity to the
objective is multiplied by the same
factor. Additivity: Implies that the sum
of the contributions from various
activities to a particular constraint
equals the total contribution to that
constraint.
Divisibility: Means that both integer and
noninteger levels of the activity are
allowed.



1/
6

, 4/15/25, 11:07
AM

The shadow price indicates the change in Shawdow price
the optimal value of the objective
when the right side of some constraint
changes by one unit.
- If a resource constraint is binding in the
optimal solution, the company is willing
to pay up to some amount, the
shadow price, to obtain more of the
resource
- This number means the change in
the objective function if the
constraint is relaxed by 1 unit. So, if
the capacity
increases by 1 unit, the cost will reduce by
$119.
Decision Variables Characteristics (elements) of optimization problems.
Objective function
Constraints

Various imputs blended to produce Understand what a blending model is.
desired outputs. A company using this
model would run the model periodically
and set production on the basis of current
inventory of inputs and the current
forecast of demand and prices.

These can be used to determine Elements of a typical transportation model and the general logistics problem
the minimum-cost shipping method (network representation).
for satisfying customer demands.


Typically require three sets of numbers:
Capacities
Demands
unit shipping costs

Optimization models in which some or all Define what is integer programming.
of the variables must be integers.

- to help managers gain insight The goal of decision analysis
and understanding, but they can't
make decisions


Alternatives- different courses of action Characteristics of decision problems
intdended to solve a problem
Criteria- factors that are important to
the decision maker and influenced by
the
alternatives.
States of Nature- Future events not under
the decision makers control
decision rule category that does NOT non-probabilistic
assume that probabilities of occurrence
can be assigned to the states of nature
in a decision problem

decision rule category that assumes that probablistic
probabilities of occurrence can be
assigned to the states of nature in a
decision problem

choose the alternative with the best Maximax
possible payoff, the optimistic view



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