Quantitative Methods MAT 540
Student Course Guide
Prerequisite: MAT 300
INSTRUCTIONAL MATERIAL Required
( including all mandatory software)
Taylor, B. M. (2010). Introduction to management science (10th ed.). Upper Saddle River, NJ:
Select one (1) of the following topics for your primary discussion posting:
Identify any challenges you have in setting up a linear programming problem in Excel,
and solving it with Solver. Explain exactly what the challenges are and why they are
Explain how the applications of Integer programming differ from those of linear
programming. Give specific instances in which you would use an integer programming
model rather than an LP model. Provide real-world examples.
Integer Programing is a form of
The Hickory Cabinet and Furniture Company produces sofas, tables and chairs at its plant in Greensboro,
North Carolina. The plant uses three main resources to make furniture wood, upholstery and labor. The
resources requirements for each piece of furnitur
"Reflection to date" Please respond to the following:
In a paragraph, reflect on what you've learned so far in this course. Identify the most
interesting, unexpected, or useful thing you've learned and explain why
I Ive learned a great deal about math and
Explain the assignment model and how it facilitates in solving transportation
problems. Determine the benefits to be gained from using this model.
The assignment model refers to a form of linear programming models. Assignment problems are
Identify the part of setting up a simulation in Excel that you find to be the most
challenging, and explain why. Identify resources that can help you with that.
Excel has always been a weak area of mine. Up until now Ive managed to get by. However,
The objective function always includes all of the decision variables, but that is not
necessarily true of the constraints. Explain the difference between the objective
function and the constraints. Then, explain why a constraint need not refer to all the
In your own words, explain how to obtain the expected value of perfect information for any
payoff table, which has probabilities associated with each state of nature. Then, provide an
example, drawing from any of the payoff tables in Problems 1-17 in the
Explain how forecasting is used in the real world. Provide a specific example from
your own line of work, or a line of work that you find particularly interesting
In the real world, forecast helps organizations make plans made and budgets based off of
Running head: QUANTITATIVE METHODS FOR HEALTH SERVICES
Quantitative Methods for Health Services
What is the expected project completion data?
Pert remains the premier a technique used to define the planned schedule and to
control a project. The t
15-1 Using the following data set on hospital admissions,
define the service area for Hospital A, based only on
quantitative factors (Table 15-5). Assume a future admission
rate per 1000 of 102. Assume average length of stay of 4.7
days in 10 years. Assum
CHAPTER 3: EXERCISE 3-3 (PAGE 61 OF THE TEXT)
CHAPTER 4: EXERCISE 4-1 THROUGH 4-4 (PAGE 72 OF THE TEXT)
patient first sees the receptionist, who checks to see if the patient was seen before
pulls the medical record from the file.
If the patient is new, th
Compare the primary strengths and weaknesses of cost-benefit analysis (CBA), cost-effectiveness
analysis (CEA), and cost-utility analysis (CUA). Give your opinion on which method you believe to be the
most effective in economic evaluation. <p></p>
Assess the main steps involved in developing an effective strategic plan. Discuss how the steps may differ
for a health care organization compared to another industry.
I found a great explanation of strategic planning in an article Strategic Planning in H
1. Gantt chart has many advantages compared to its weaknesses. This is as discussed below.
Advantages of Gantt chart
It organizes the readers thoughts. A big obstacle is overcome by dividing it into component
parts. A Gantt chart will force you to do this
The value of total quality management (TQM) to health care for one lays in its groundwork of cultivating
the customers satisfaction, this is instrumental to hospitals wanting to have a competitive edge in their
quality their status in the healthcare syste
July 17, 2016
Homework chapter 2
2-1 Your organization collects data on individual patients shown in Appendix Table 2. Identify whether
each variable is measured nominally, ordinally, or as an interval/ratio variable.
Gender, Age, Appoin
Homework Ch 10
August 21, 2016
10-2 In the clinic renovation example, what if management thinks that the likelihood of current demand
remaining is 30%, the likelihood of a moderate increase is 25%, and the likelihood of a large increase
Discuss the importance of efficiency and effectiveness as key managerial interests, and analyze the
primary conditions for each.
As our book states efficiency is is the ratio measure of output over input. High efficiency is achieved
when a service is rend
Cab Company Scheduling
let Di = # of drivers who start their 8 hour shift in period I (I = 1,2,3,4,5,6)
12 noon - 4:00pm
4:00am - 8:00am
4:00pm - 8:00pm
8:00am - 12 noon
8:00pm - mid
(a) Define the decision variables and write the linear programming model for the p
(b) Sketch the feasible region. Give your answer in the worksheet named P1-Graph
(i) You can use QM for Windows to get the graph, copy and paste it onto the works
1. Product mix problems cannot have "greater than or equal to" () constraints.
1. A constraint for a linear programming problem can never have a zero as its righthand-side value.
1. In a balanced transportation model, supply equals demand such that all constraints can be
treated as equalities.
1. In a transportation problem, a demand constraint (the amount of product demanded at a
Let X1 denote the numbers of pizza slices, X2 denote the number of hot dogs and X3 denote the
number of hamburgers.
Each pizza costs $4 and includes 8 slices. Thus the cost of each pizza slice is $4/8 = $0.5.
Shannon plans t
A feasible solution violates at least one of the constraints.
A linear programming model consists of only decision variables and constraints.