BUSAN 305 : Simulation Modelling

Business and Economics

2025 Semester Two (1255) (15 POINTS)

Course Prescription

Uncertainty exists in all management decisions and simulation is used for analysing systems in industry. Focuses on modelling real-world problems using a commercial simulation tool and the application of skills through industrial case studies. Topics include the simulation process, general queue modelling, modelling networks (computer or transportation networks) and simulating operations (machine scheduling or assembly line modelling).

Course Overview

The course introduces students to the discrete-event simulation (DES) technique and the complete method that frames it. It also introduces students 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. For each simulation technique, the course will be problem-based, focusing first on presenting and discussing a problem in its real context; next, students will learn how to design a simulation model, followed by the use of a software tool to implement the model. This top-down approach will allow students to inquire about the "how and why" of the simulation technique. 

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 3: Knowledge and Practice
Capability 4: Critical Thinking
Capability 5: Solution Seeking
Capability 7: Collaboration
Graduate Profile: Bachelor of Commerce

Learning Outcomes

By the end of this course, students will be able to:
  1. Demonstrate an understanding of basic probability concepts (Capability 3)
  2. Apply statistical methods to choose simulation inputs, and analyse simulation outputs. (Capability 3 and 4)
  3. Develop simulation models to analyse and suggest improvements for diverse business problems. (Capability 4 and 5)
  4. Collaborate effectively to develop models representing real-world scenarios, and use simulation to identify potential improvements. (Capability 5 and 7)
  5. Use R and simulation software to develop, implement, and analyse simulation models. (Capability 3)

Assessments

Assessment Type Percentage Classification
Assignments 40% Individual Coursework
Laboratories 5% Individual Coursework
Project 25% Group Coursework
In-class quizzes 5% Individual Coursework
Test 25% Individual Test
Assessment Type Learning Outcome Addressed
1 2 3 4 5
Assignments
Laboratories
Project
In-class quizzes
Test

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

Attendance is expected at scheduled activities, including labs and lectures, to complete components of the course.
Lectures will be available as recordings. Other learning activities, including labs, will not be available as recordings.
The course will not include live online events.
Attendance on campus is required for the test.
The activities for the course are scheduled as a standard weekly timetable.

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)
Simulation software available in the OGGB Computer Labs or on FlexIt
 
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.

Last semester, there were concerns that there was not sufficient time during the labs to learn to use the software, and that the lecture content was too dissimilar from the lab content. There were also concerns that the final project required too much self-teaching. 

The overall structure and content of the course is being updated. The assessment has also been changed, allowing more time during the labs for learning rather than assessment. Other assessments, including the final project, are being redesigned. 


Academic Integrity

The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework, tests and examinations 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. A student's assessed work may be reviewed against electronic source material using computerised detection mechanisms. Upon reasonable request, students may be required to provide an electronic version of their work for computerised review.

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 your assessment is fair, and not compromised. Some adjustments may need to be made in emergencies. You will be kept fully informed by your course co-ordinator, 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 you may be asked to submit your 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. The final decision on the completion mode for a test or examination, and remote invigilation arrangements where applicable, will be advised to students at least 10 days prior to the scheduled date of the assessment, or in the case of an examination when the examination timetable is published.

Published on 25/11/2024 10:13 a.m.