Stephen J. Silver, Ph.D.
Office: Bond 358; Tel: 953-5163 (O),
766-9943 (H);
Email address: silvers@citadel.edu:
website: faculty.citadel.edu/silver
CLASS SCHEDULE:
Class Hours:
7:45 -10 AM M – Th
Office Hours: Tu and Th
5-5:45 and by appointment
COURSE
DESCRIPTION:
This course is designed to provide students with
knowledge of analytical tools and concepts used in making optimal decisions in
the pursuit of organizational goals including cost efficiency, service
delivery, and profit. Analytical concepts include probability theory,
statistics, and utility theory. Analytical tools include linear models, linear
programming, network models, queuing models, and project management techniques.
COURSE OBJECTIVES:
The general objective of the course is to develop
and enhance the student's problem-solving and decision-making capabilities in
an operational environment. Specifically, when confronted with a management
problem, the student should be able to:
a.
Conceptualize the problem within a statistical and analytical
framework.
b.
Identify the type of problem confronted and the appropriate management
technique(s) for solving the problem.
c.
Use appropriate tools and software to solve the problem.
d.
Interpret the results
obtained.
e.
Understand the capabilities
and limitations of the technique and software used.
f.
Apply the results in the
decision-making process
TEXT: Render, Barry
and Ralph M. Stair, Quantitative Analysis for Management, 9th ed.,
Prentice-Hall, 2006.
METHODOLOGY:
While theory is an important part of any study of
decision-making, this course will emphasize problem solving and the available
techniques and tools. Consequently, lectures will focus on the choice and use
of appropriate techniques and software, the value and limits of each, and the
interpretation of results obtained. Students will be given ample time and
encouragement to ask the instructor to explain any assigned or unassigned
problems in the text.
GRADING:
Grades will be based on the three tests, the student
portfolio of completed homework assignments, and participation/attendance. Each
test will count 25% of the grade. Assigned
homework problems will be saved in your portfolio, to be handed in at the end
of the semester, and will count as 20% of the final grade. Attendance and participation count 5% of the
final grade.
|
Assignments
and Homework/Portfolio Problems |
||
|
Date |
Text Assignment |
Homework Problems |
|
Jun 30 |
Chap 1: Introduction; Go over
syllabus; Intro. to statistics |
Ch1-19 |
|
Jul 1-3 |
Probability Concepts and
Applications, 2.1-2.13; Statistics
Handout |
Ch2-35, 38, 40, 43, 46, 48 |
|
Jul 7 |
Chap 3: Decision Tables, 3.4,
3.5 |
3-10, 11, 12, 17, 21*, 24, 29*, 33 |
|
8 |
Review practice test
1 |
|
|
9 |
Test 1 Chapters 1 – 3 |
|
|
10 |
Chap 6: Inventory Models, 6.1-6.10 |
Ch6-37, 41, 45, |
|
14, 15 |
Chap 7: Linear Programming;
Graphical and Computer Methods and Applications |
Ch7-31, 36, 41; Ch8- 9, 11, 13, 17 |
|
16 |
Review practice test
2 |
|
|
17 |
Test 2: Chapters 6 – 8 |
|
|
21 |
Chapter 10: Transportation and
Assignment Problems |
Ch8-9(as a Transport model);
Ch10-18, 19, 30 |
|
22 |
Chap 12: Network Models |
12-7, 9, 13, 17 |
|
24 |
Chap 13: Project Management |
13-12, 16, 19, 28 |
|
25 |
Chap 14: Waiting Lines and Queuing
Theory |
14-14, 17, 18, 31 |
|
28 |
Review practice test 3 |
|
|
|
|
|
|
29 |
Work on Portfolios in Computer Lab,
Review for Exam |
|
|
30 @ |
Test 3: Chapters 10, 12, 13, and 14
|
Portfolios due |
|
Statistical Tables: |
Waiting Line Tables |
