BUSAN 305 : Simulation Modelling

Business and Economics

2023 Semester One (1233) (15 POINTS)

Course Prescription

Uncertainty exists in all management decisions and simulation is used for analysing systems in industry. This course focuses on modelling real-world problems using a commercial simulation tool. Industrial case studies will motivate the content of the course. Topics include the simulation process, general queue modelling, modelling networks (computer or transportation networks) and simulating operations (machine scheduling or assembly line modelling). The emphasis is on “learning by doing”.

Course Overview

The course introduces students to the discrete-event simulation (DES) technique and the complete method that frames it. It also introduces student to the agent-based simulation (ABS) technique. In settings that involve industrial processes and control, DES can help the decision makers to quantitatively estimate key statistics on the variables of interest. In settings that involve interaction among autonomous decision-making units (such as an organization), ABS can help managers understand the effects and implications of policy changes or new organizational schemes. Students will understand the components of each of these techniques and the way that they are brought together to develop simulation models. For each simulation technique, the course will be problem-based, focusing first on presenting and discussing a problem in its real context; a simulation model will be then used so that students become familiar with its use in the context of making decisions supported by the simulator outputs. Only then, the course will present one by one the components of each simulation technique and will discuss their theoretical foundations.  This top-down approach will allow students inquire about the "how and why" of the simulation techniques, after having been able to use them and appreciate their usefulness and power. Students will learn simulation by using Simio and NetLogo. 

Course Requirements

Prerequisite: 15 points from BUSAN 200, ECON 221, ENGSCI 255, INFOMGMT 290, OPSMGT 255, 258, STATS 201-290 Restriction: OPSRES 385

Capabilities Developed in this Course

Capability 1: Disciplinary Knowledge and Practice
Capability 2: Critical Thinking
Capability 3: Solution Seeking
Capability 4: Communication and Engagement
Capability 5: Independence and Integrity
Graduate Profile: Bachelor of Commerce

Learning Outcomes

By the end of this course, students will be able to:
  1. Model uncertainty in the context of processes that lend themselves to simulation modelling. (Capability 1 and 2)
  2. Analyse the concept of discrete event and use it in a mathematical model. (Capability 1 and 3)
  3. Apply teamwork to discuss modelling solutions and build simulation models for diverse operations problems. (Capability 1, 3 and 4.3)
  4. Apply probability theory in the construction of discrete-event and agent-based simulation models. (Capability 1 and 3)
  5. Identify and describe independently the components of the DES technique and use them in the modelling and analysis of proposed industry cases. (Capability 1, 2, 3 and 5.1)
  6. Identify and use independently the components of a basic agent-based simulation model to study the behaviour of a large number of individual decision-makers in an organisational or human collective context. (Capability 2, 3 and 5.1)

Assessments

Assessment Type Percentage Classification
Assignments 40% Individual Coursework
Laboratories 30% Group & Individual Coursework
Project 20% Group Coursework
Quizzes 10% Individual Test
Assessment Type Learning Outcome Addressed
1 2 3 4 5 6
Assignments
Laboratories
Project
Quizzes

Workload Expectations

This course is a standard 15-point course and students are expected to spend 10 hours per week involved in each 15 points they are enrolled in.

For this course, you can expect 2 hours of lectures, a 2 hour tutorial, 3 hours of reading and thinking about the content and 3 hours of work on assignments and/or test preparation.

Delivery Mode

Campus Experience or Online

This course is offered in two delivery modes:

Campus Experience

Attendance is required at scheduled activities including labs/tutorials/ to receive credit for components of the course.
Lectures will be available as recordings. Other learning activities including tutorials/labs will not be available as recordings.
The course will not include live online events including group discussions/tutorials.
Test details will be provided through Canvas.
The activities for the course are scheduled as a standard weekly timetable.

Online

Attendance is required at scheduled online activities including labs/tutorials to complete/receive credit for components of the course.
The course will not include live online events including group discussions/tutorials and these will not be recorded.
Attendance on campus is not required for the test.
Where possible, study material will be released progressively throughout the course.
This course runs to the University semester timetable and all the associated completion dates and deadlines will apply.

Learning Resources

Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).

Please remember that the recording of any class on a personal device requires the permission of the instructor.

Class slides 
Class handouts and in-class exercises
Simulators instruction manuals (on-line)
Full Simio simulation model & full Net-Logo simulation model (as core cases)
 
Suggested textbooks: 
Brailsford, Sally., Churilov, Leonid., Dangerfield, Brian Thornley., and Bayer, Steffen. (2014), Discrete-Event Simulation and System Dynamics for Management Decision Making, First Edition. 2014 John Wiley & Sons, Ltd. Wiley Ser. in Operations Research and Management Science. 
Banks, J., Carson, J.S., Nelson, B.L., Nicol, D.M. (2005), Discrete-Event System Simulation, Fourth Edition, Prentice–Hall, Englewood Cliffs, NJ.
Wilensky,  Uri., and Rand, William. (2015), An Introduction to Agent-Based Modeling : Modeling Natural, Social, and Engineered Complex Systems with NetLogo .
North, Michael J., Macal, Charles M, and Oxford University Press. Managing Business Complexity Discovering Strategic Solutions with Agent-Based Modeling and Simulation. New York: Oxford UP, 2007. Oxford Scholarship Online.  Web.

Student Feedback

At the end of every semester students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback and respond with summaries and actions.

Your feedback helps teachers to improve the course and its delivery for future students.

Class Representatives in each class can take feedback to the department and faculty staff-student consultative committees.

The course received a high score in the course evaluation.  Two points were mentioned by students'  feedback: 1. Provide more feedback on the marked assignments, and 2. new concepts on queueing theory were found challenging.  
As a result, in 2023, this course will strive for prompt, quality feedback on assignments and a longer lecture time devoted to the mathematics underlying the theory of queues.

Other Information

Simio can be downloaded from   https://www.simio.com/index.php
NetLogo can be downloaded from https://ccl.northwestern.edu/netlogo/


Academic Integrity

The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the internet. A student's assessed work may be reviewed against online source material using computerised detection mechanisms.

Class Representatives

Class representatives are students tasked with representing student issues to departments, faculties, and the wider university. If you have a complaint about this course, please contact your class rep who will know how to raise it in the right channels. See your departmental noticeboard for contact details for your class reps.

Inclusive Learning

All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.

Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website http://disability.auckland.ac.nz

Special Circumstances

If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.

If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page https://www.auckland.ac.nz/en/students/academic-information/exams-and-final-results/during-exams/aegrotat-and-compassionate-consideration.html.

This should be done as soon as possible and no later than seven days after the affected test or exam date.

Learning Continuity

In the event of an unexpected disruption, we undertake to maintain the continuity and standard of teaching and learning in all your courses throughout the year. If there are unexpected disruptions the University has contingency plans to ensure that access to your course continues and course assessment continues to meet the principles of the University’s assessment policy. Some adjustments may need to be made in emergencies. You will be kept fully informed by your course co-ordinator/director, and if disruption occurs you should refer to the university website for information about how to proceed.

Student Charter and Responsibilities

The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/student-charter.html.

Disclaimer

Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.

In this course students may be asked to submit coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. In exceptional circumstances changes to elements of this course may be necessary at short notice. Students enrolled in this course will be informed of any such changes and the reasons for them, as soon as possible, through Canvas.

Published on 14/03/2023 09:11 a.m.