class syllabus - Loyola Marymount University

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LOYOLA MARYMOUNT UNIVERSITY
Fall 2010
AIMS 3770: PRODUCTION AND OPERATIONS ANALYSIS (Section 3)
Instructor:
Linda Leon, Hilton #209, 338-7634, lleon@lmu.edu
Time:
Monday & Wednesday 10:40 – 11:55 AM
Office Hours:
Monday
9:30 - 10:30 am, 5:00 - 7:00 pm
Wednesday 9:30 - 10:30 am, 12:30 - 1:30 pm
Thursday
11:00 am - 12:00 pm
Text:
Heizer & Render, Operations Management, 10th edition, Prentice Hall,
2010.
You can purchase the hardcopy or flexible edition of the text. An E-text version is
also available by going to http://www.coursesmart.com and typing "Heizer and
Render" in the search field..
You do not need any special software besides Excel.
Final Exam:
Monday, December 13th, 11:00 AM
Prerequisites:
ISQM 275, ECON 230, MATH 112
Course Objectives
After completion of the course, the student should:
1. Be able to describe common principles of production and operations management.
2. Be able to apply strategies dealing with various problems encountered in supply
chains and the production of goods and services, including production and aggregate
planning, inventory management, project management and quality management.
3. Be able to list current issues and trends encountered in the production of goods and
services.
4. Be able to apply analytical and computer modeling skills to production and operations
management and decision making problems.
5. Have hands on experience with the associated computer decision support software
necessary for larger problems.
Course Requirements
Throughout the course, three computer projects
will be assigned and graded. These three projects
involve creating a spreadsheet model and
submitting one page typed reports along with
supporting computer printouts. The first project
will be broken into two parts with two different
deadlines. Late projects and reports not meeting
the required format will not be accepted.
There will be two midterm exams and a final in this course. The
midterms are noncumulative and will be based on the recommended
problems, projects, reading assignments, class lectures and exercises.
The final exam will be cumulative with an emphasis on material from
the last part. In addition, there will be four quizzes on Excel-based
applications. Students will have 15 minutes to complete each quiz in
class. All exams and quizzes are closed book and closed notes and
require the use of Excel. No make-up examinations or quizzes will be
offered. If there is a documented medical reason for missing the exam
or quiz, the weights used to determine the final grade will be adjusted.
Otherwise, the assignment will have a score of 0.
There will be two assigned class
exercises that will be collected and
graded. Attendance in class on those
days will be mandatory in order to
receive class credit for the exercise.
These exercises involve small groups
where students will be given a case the
lecture before. Students are expected to
do background work for the case before
the class period in order to participate.
25% of the student’s grade is based on
the individual preparation and 75% is
based on the group response.
To fully appreciate operations management it is important to study and
practice applying operation principles as much as possible. Five
reading assignment study guides covering specific topics and pages
will be distributed in class throughout the semeser. While these
assignments will not be collected or graded, they do outline the
reading material that you will be held accountable for on the exams.
This material will not be covered in class so it is important that you
complete the study guides. The chapters listed in the course outline
describe the general portions of the text that are relevant to the
material scheduled for the lecture that day. This is an additional
reference source for when you do not fully understand a topic
presented in class or for when you miss class.
Additional problems from the book and class handouts are also
recommended for each course topic on the course outline in order to
reinforce the concepts, methods and techniques studied. These
problems will not be collected or graded. Some solutions will be
discussed in class. Homework solutions for the ungraded
recommended problems will be posted on the course website one
week after the problems are assigned.
Flash snippits will also be posted as course documents in
MyLMUConnect at http://mylmuconnect.lmu.edu. These snippits
will provide support for many of the intermediate Excel concepts
required in this class. The course outline identifies the topics where
the different snippits will be relevant to the material being presented
in class. If you miss class or if you are struggling with Excel, you
should make sure that you review these snippits as they are assigned.
Files containing class materials and computer exercises will be
distributed as they become relevant via the internet at
http://myweb.lmu.edu/lleon/isqm377/. Students must use
MyLMUConnect’s assignment feature to submit spreadsheets created
for the projects and the quizzes. Students can monitor their grades on
MyLMUConnect as well.
Grading
The final course grade will be distributed as follows:
ASSIGNMENT
Project 1 – Part A
Project 1 – Part B
Project 2
Project 3
2 Class Exercises (3% each)
Midterm 1
Midterm 2
4 Quizzes (2% each)
Final Exam
TOTAL
WEIGHT
4%
4%
8%
8%
6%
16%
16%
8%
30%
100%
Each assignment will be graded on the scale 0-100. The point scores will then be combined
according to the above weights at the end of the course and a letter grade will be assigned on the
final total score according to the following guidelines:
FINAL TOTAL POINTS
90 - 100
80 - 89
70 - 79
60 - 69
Below 60
GRADE
A
B
C
D
F
NOTES:
1. Pluses and minuses for the letter grade are given based on the class curve for the final total
points.
2. The scheduled topics and dates for the projects, quizzes, class exercises, homework and
reading assignments shown on the course outline may be adjusted as necessary in order to
accommodate the pace of the course.
3. Academic Honesty: Academic dishonesty will be treated as an extremely serious matter,
with serious consequences that can range from receiving no credit for assignments/tests to
expulsion. It is never permissible to turn in any work that has been copied from another
student or copied from a source (including Internet) without properly acknowledging the
source. Every spreadsheet model must be programmed individually by the student
submitting the work. It is your responsibility to make sure that your work meets the
standard of academic honesty set forth in the “LMU Honor Code and Process” which appears
in the LMU Bulletin 2010-2011 (see
http://www.lmu.edu/about/services/registrar/Bulletin/Bulletins_in_PDF_Format.htm.)
4. Students with special needs who need reasonable modifications, special assistance, or
accommodations in this course should promptly direct their request to the Disability Support
Services Office. Any student who currently has a documented disability (physical, learning,
or psychological) needing academic accommodations should contact the Disability Services
Office (Daum Hall # 224, x84535) as early in the semester as possible. All discussions will
remain confidential. Please visit www.lmu.edu/dss for additional information.
Week
Date
Day
1
8/30
M
COURSE OUTLINE
Topic
Introduction to Course
Relevant
Text
Homework
Chpt. 1
(1) Forecasting & Planning Models
2
3
4
5
6
9/1
W
Time Series Forecasting
9/6
M
*Labor Day Holiday
9/8
W
9/13
Chpt. 4
Problem Set 1: #1,10
Graphing Snippits
Exponential Smoothing
Chpt. 4
Problem Set 1: #2, 3, 4, 5
Cell Reference Snippit
M
Trend Projections/Regression Models
*QUIZ 1*
Chpt. 4
Problem Set 1: #6, 7
Data Analysis Snippits
9/15
W
Seasonal Variations;
Explanation of Project 1-part A
Chpt. 4
Problem Set 1: #8, 9
9/20
M
Aggregate Production Planning
*QUIZ 2*
Chpt. 13
Reading Assignment 1
9/22
W
Aggregate Production Planning
Chpt. 13
Problem Set 2
9/27
M
Spreadsheet LP Models & Solver;
Explanation of Project 1-part B
* PROJECT 1 PART A DUE *
9/29
W
* MIDTERM 1*
10/4
M
LP Models & Graph Solutions
Problem Set 3: #1
Solver Snippits
Module B
Problem Set 3: #2, 3, 4
(2) Supply Chains
10/6
W
Problem Set 3: #5
Transportation Snippits
Reading Assignment #2
Transportation and Distribution
Systems
Background sheet for
class exercise 1
* PROJECT 1 PART B DUE *
7
8
10/11
M
Location Analysis
* CLASS EXERCISE 1 *
Chpt. 8
Problem Set 4: #1, 2
10/13
W
Transportation Analysis;
Explanation of Project 2
Chpt. 8
Problem Set 4: #3, 4
10/18
M
Supply Chain Management
*QUIZ 3*
Chpt. 11
Reading Assignment #3
10/20
W
Supply Chain Strategies
Chpt. 11
Week
Date
Day
9
10/25
M
10/27
W
Topic
Relevant Text
Homework
Product Design
Chpt. 5
Reading Assignment #4
Process Strategy & Sustainability;
Chpt. 7
Reading Assignment #4
Capacity & Constraint Management
Supplement 7
* PROJECT 2 DUE *
10
11/1
M
Project Management
11/3
W
* MIDTERM 2*
***
11/5
F
LAST DAY TO WITHDRAW ***
11
11/8
M
Simulation Modeling
11/10
W
Computer Simulation
Problem Set 6: #3, 4
Simulation snippits
11/15
M
Waiting Line Models;
Discussion of Project 3
*QUIZ 4*
Problem Set 6: #5, 6
11/17
W
(3) Inventory Management
Independent –vs- Dependent Demand
11/22
M
Material Requirement Planning
11/24
W
*Thanksgiving Holiday
11/29
M
MRP Implementation
12/1
W
Just-In-Time Systems
12
13
14
Chpt. 3
Problem Set 5
Module F
Problem Set 6: #1, 2
Chpt. 14
Problem Set 7
Chpt. 16
Background sheet for
class exercise 2
Chpt. 6
Reading Assignment 5
* PROJECT 3 DUE *
15
12/6
M
Quality Management
* CLASS EXERCISE 2 *
12/8
W
Quality Management;
Summary of Course
Problem Set 8
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