SCM 2220 Simulation Models for Operations Management Winter 2016 Course Outline

SCM2220 – Winter 2016 - 1 of 8
SCM 2220
Simulation Models for Operations Management
Winter 2016 Course Outline
Supply Chain Management Area
Asper School of Business
University of Manitoba
COURSE DETAILS AND OBJECTIVES
Course Number
: SCM 2220 T02
Course Title
: Simulation Models in Operations Management
Days & Class Times
: T/R 2:30 PM – 3:45 PM
Class Room Location : Machray Hall 115
Pre-Requisites
: None
Objectives: This course is designed to introduce the basic concepts of system modelling and computer
simulation. The process and methodology of using simulation for problem solving and decision making
are emphasized. Simulation language Arena will be used as a tool for model building. Students will be
required to apply the modelling techniques to a real world problem through a term project. Advances in
simulation research and development will be explored through reference reading, class discussion and
team presentation.
INSTRUCTOR AND CONTACT INFORMATION
Dr. Yuvraj Gajpal
Instructor
[email protected]
Office: Drake Building 622
Office Hours: T/R 11:30 – 1:00 PM
Tel: (204) 474 -7421
(Please contact by e-mail to arrange a
meeting)
Siobhan Vandekeere
Department Secretary
[email protected]
Office: Drake Building 624
Office Hours: 09:00 – 16:00
Tel: (204) 474-8377
COURSE ELEMENTS
Credit Value:
Um Learn:
Participation:
3
Yes
Yes
Leadership: Yes
Ethics: No
Innovation: Yes
IT skills:
Numeracy:
Group work:
Yes
Yes
Yes
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Global view:
Written skills:
Oral skills:
No
Yes
Yes
SCM 2220 – Winter 2016 - 2 of 8
COURSE DESCRIPTION
Simulation is a powerful tool to analyse the complex systems. Simulation is a method to
mimic the behaviour of real systems. This courses introduces computer based simulation and
modeling with applications to manufacturing and service system where decision making can
be enhanced through the modeling and analysis of complex system. This course focuses on
the construction of simulation models of real or conceptual systems using the MS excel and
the simulation software package Arena.
The course assumes a previous knowledge of probability and statistics. Although some of
these topics will be reviewed in the course to a limited extent, the review is intended only as a
refresher and will not be comprehensive.
LEARNING OUTCOMES
Upon completion of this course, students will be able to complete the following key tasks:
 Introduce students to simulation modeling using hand calculation and computer;
 Provide an understanding of the assumptions, strengths and weaknesses of simulation
models.
 Demonstrate competence in using Arena to model simple problems;
 Apply model simulation technology for problem solving in business and industry;
 Validate a simulation model.
LEARNING OUTCOMES
Upon completion of this course, students will be able to complete the following key tasks:
 Introduce students to simulation modeling using hand calculation and computer;
 Provide an understanding of the assumptions, strengths and weaknesses of simulation
models.
 Demonstrate competence in using Arena to model simple problems;
 Apply model simulation technology for problem solving in business and industry;
 Validate a simulation model.
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SCM 2220 – Winter 2016 - 3 of 8
AACSB ASSESSMENT OF LEARNING GOALS AND OBJECTIVES
Goal/Objective
1
B.
C.
Analyze quantitative output and arrive at a conclusion.


Quantitative analysis
in assignments and
exams
Results interpretation
in assignments and
exams
Use correct English grammar and mechanics in their written work.
Communicate in a coherent and logical manner
Present ideas in a clear and organized fashion.



Project report
Project report
Project report

Entire course
Ethical Thinking
A.
B.
C.
D.
4
Determine which quantitative analysis technique is appropriate for
solving a specific problem.
Use the appropriate quantitative method in a technically correct
way to solve a business problem.
Written Communication
A.
B.
C.
3
Assessment Item
Highlighting
these Goals
Quantitative Reasoning
A.
2
Addressed
in this
Course
Identify ethical issues in a problem or case situation
Identify the stakeholders in the situation.
Analyze the consequences of alternatives from an ethical
standpoint.
Discuss the ethical implications of the decision.
Core Business Knowledge
REQUIRED COURSE MATERIALS AND READINGS
Customer Edition of “W. David Kelton, Randall P. Sadowski and Deborah A. Sadowski, Simulation
with Arena”, McGraw-Hill, 5th edition, compiled by Dr. Yuvraj Gajpal, ISBN 9781259369735
The following web site of Rockwell Corporation has additional information on the textbook and Arena
software: < http://www.arenasimulation.com/ >.
The
software
can
be
downloaded
from
http://www.arenasimulation.com/Academics_Textbook.aspx
the
Author’s
website
EVALUATION
All work will be evaluated on an individual basis except in project work. In project work group
members will share the same grade adjusted by peer evaluation. Your final grade will be
calculated as follows:
Components and Weights
Marked Assignments
2 assignments
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25%
SCM 2220 – Winter 2016 - 4 of 8
20%
Mid-term Examination
Project
Final Examination
Presentation and report preparation (group )
15%
Simulation
40%
100%
Total
Assignments
The course assignments involve the use of simulation language Arena (the program CD is free
and comes with the textbook). Some of the assignments may require the ability to write simple
computer programs in a language of the student’s choice, or the use of a spreadsheet.
Grade Conversion
At the end of the course your standard percentage grade will be converted to your letter grade in
accordance with the following conversion scheme.
LETTER GRADE
PERCENT
A+
A
B+
B
90 - 100
80 - 90
75 - 79
70 - 74
LETTER GRADE
C+
C
D
F
PERCENT
65 - 69
60 - 64
55 - 59
00 - 55
SIMULATION PROJECT
 Objective
To gain experience on applying modern simulation technology for problem solving in
business and industry.
 Guidelines

Students should form a team of up to three people to do a term project. All team
members will be graded equally.

It is the students’ responsibility to find a real world problem for system modelling
and simulation. The project should be carefully selected to demonstrate the
meaningful use of simulation and to be completed in a reasonable amount of time.

The project proposed should be submitted to and be approved by the instructor.

The final project should be presented in class as scheduled.
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SCM 2220 – Winter 2016 - 5 of 8
 Project Proposal

The proposal report should include the project title, names of team members, the
organization involved, and the brief description of the decision problem under study
and the objective of the simulation. The proposal should be typed with no more than
two pages. Handwriting is not acceptable.

Proposal submission deadline is TBA
 Project Presentation (6%)
The project presentation will be evaluated by both the classmates (3%) and the instructor
(3%).
 Project Report (9%)
The project report should include at least the following sections:

Introduction. Background of the organization involved. Decision problems under
study. The justification of using simulation for solving the problem.

Problem formulation. Variables and constraints. System performance measures and
objective functions. The interrelationship between variables.

Data collection and analysis. Methods of data collection. Data analysis.

Model construction and validation. Simulation model written using Arena. Model
verification and validation.

Model experimentation and output analysis.

Conclusion and recommendation. The interpretation of simulation results.
Recommendations to solve the problem.

Limitations and further improvement. The limitation of current study. Suggested
improvement in the future.
ACADEMIC DISHONESTY
It is the student’s responsibility to understand what constitutes academic dishonesty.
This policy describes the responsibilities, procedures, and guidelines for students and faculty
should a case of academic dishonesty arise. Academic dishonesty is defined as to knowingly act
or fail to act in a way that results or could result in unearned academic credit or advantage.
Please refer to the policy for a list of examples. The policy also provides faculty with procedures
to follow in cases of academic dishonesty as well as general guidelines for penalties.
COPYRIGHT
Please respect copyright. We will use copyrighted content in this course. I have ensured that the
content I use is appropriately acknowledged and is copied in accordance with copyright laws and
University guidelines. Copyrighted works, including those created by me, are made available for
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SCM 2220 – Winter 2016 - 6 of 8
private study and research and must not be distributed in any format without permission. Do not
upload copyrighted works to a learning management system (such as D2L), or any website,
unless an exception to the Copyright Act applies or written permission has been confirmed. For
more
information,
see
the
University’s
Copyright
Office
website
at
http://umanitoba.ca/copyright/ or contact [email protected]
POLICY ON MISSED MID-TERM EXAMINATIONS / TESTS
No make-up examinations will be given. If you miss a Mid-Term Examination for health
reasons you are expected to have your doctor complete the attached University of Manitoba
Medical Absenteeism Form and submit it to your instructor. In that case you will write a 100%
final exam
If you miss the Final Examination you will be required to consult with the Student Advisors in
the Undergraduate Program Office, Room 268 Drake Centre. If you meet the criteria and qualify
for a Deferred Final Examination, the Department of Supply Chain Management will schedule
another opportunity for you to write your Final Examination in the course.
If you miss a Mid-Term Examination for a reason other than illness, you are expected to contact
your instructor at your earliest possible opportunity and explain the circumstances surrounding
your absence. Your instructor will require appropriate documentary evidence to justify your
absence. Then the matter will be referred to the Department Head to ensure that all scenarios are
dealt with in a uniform manner. There will be no make-up mid-term exams
ACCESSIBILITY POLICY STATEMENT
Any student requesting academic accommodations based upon a disability is required to register
with Accessibility Services (A.S.) each semester. Student Accessibility Services (SAS) provides
support and advocacy for students with disabilities of all kinds: hearing, learning, injury-related,
mental health, medical, physical or visual. Students with temporary disabilities such as sprains
and breaks are also eligible to use our services. SAS acts as a liaison between students and the
faculty and staff of the University of Manitoba as well as support agencies within the province of
Manitoba. Please phone: 474-6213 (voice) or 474-9690 (TTY) for service. A.S. is located at 155
University Centre (basement-level). If you are unsure whether you qualify for their assistance,
you are encouraged to visit or call A.S. in order to make an appointment with a staff member.
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SCM 2220 – Winter 2016 - 7 of 8
COURSE SCHEDULE
SCM 2220
Simulation of Operations Research
Fall 2014 Tentative Course Schedule
WEEK
DATE
TOPIC
CHAPTER
Ch. 1: All sections,
pp 1-14
1
Week 1
1. What is Simulation?
2
Week 2
Fundamental Simulation
Concepts
EVENT
Handouts
Fundamental Simulation
Concepts
Handouts
3
Week 3
4
Week 4
A Guided tour through
Arena
Ch. 3: Sections 3.13.3, pp. 53-79
5
Week 5
A Guided tour through
Arena
Ch. 3: Sections 3.4 –
3.9, pp. 79-110
6
Week 6
Modeling Basic Operations
and Inputs
Ch. 4: Sections 4.14.2, pp. 115-147
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Due date
Assignment
#1
SCM 2220 – Winter 2016 - 8 of 8
Modeling Basic Operations
and Inputs
Ch. 4: Sections 4.34.7, pp. 147-187
8
Thursday,
25th Feb,
2016 from
6:00 PM –
8:30 PM
Mid-Term Exam
(Machray Hall 115)
There is no class on
1st March
9
Week 9
Modelling Detailed
Operations
Ch. 5: Sections 5.15.4, pp. 195-225
7
Week 7
10
11
Project
proposal
submission
deadline
Week 10
Modelling Detailed
Operations
Ch. 5: Sections 5.55.8, pp. 225-258
Voluntary
Withdrawal,
March 18th,
2016
Week 11
Statistical Analysis of
Output from Terminating
Simulations
Ch. 6: All sections,
pp. 265-291
Due date
assignment #
2
12
Week 12
13
Week 13
Intermediate Modeling and
Study-state Analysis
Ch. 7: All sections,
pp. 293-325
( This chapter will
be covered if time
permits )
Project presentations
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