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Unit outline_

QBUS6310: Business Operations Analysis

Semester 2, 2020 [Normal day] - Camperdown/Darlington, Sydney

Business operations are the activities that businesses carry out to create value. This unit provides the models needed to analyse business operations of a company or organisation and make management decisions on operational issues. It covers business operations in both manufacturing and service industries, looking at processes, supply chains and quality issues. Topics covered may include the modelling of manufacturing operations and related group technologies, the modelling of financial service operations (e.g. brokerage operations), and the operations implications of internet technologies.

Unit details and rules

Academic unit Business Analytics
Credit points 6
ECMT5001 or QBUS5001 or QBUS5002
Assumed knowledge


Available to study abroad and exchange students


Teaching staff

Coordinator Simon Loria,
Type Description Weight Due Length
Final exam (Take-home short release) Type D final exam hurdle task Final exam
Written exam
50% Formal exam period 2.5 hours
Outcomes assessed: LO1 LO2 LO3 LO4 LO5
Small continuous assessment Bi Weekly Quizzes
Online using MyOMLab
20% Multiple weeks 10-12 Short Answer and MCQ
Outcomes assessed: LO1 LO5 LO3 LO2
Assignment Individual assignment 1
15% Week 08 n/a
Outcomes assessed: LO1 LO2 LO3 LO5
Assignment Individual assignment 2
Online using MyOMLab
15% Week 12 25 Short Answer and MCQ
Outcomes assessed: LO1 LO2 LO3 LO5
Online task hurdle task Weekly homework
Online using MyOMLab
0% Weekly 10 Short Answer and MCQ
Outcomes assessed: LO1 LO5 LO3 LO2
hurdle task = hurdle task ?
Type D final exam = Type D final exam ?

Assessment summary

  • Weekly homework: Completed online using MyOMLab which is accessed through Canvas. While there is no marks for completing these tasks, passing them is a pre-requisite for access to the bi-weekly quizzes.
  • Bi-weekly Quizzes:  Completed online using MyOMLab which is accessed through Canvas. There are 4 quizzes worth 5% each – 20% in total.  Quizzes are held in Week 3, 5, 7 and 9. Each quiz will cover content from the previous 2 weeks. You will not be able to commence each quiz unless you have satisfactorily completed the previous two weekly homework tasks.   
  • Individual assignment 1: Completed online using Harvard Business Publishing’s Global Supply Chain Simulator.
  • Individual assignment 2: Completed online using MyOMLab which is accessed through Canvas.  The task will cover content from the first 10 weeks of the course.
  • Final exam: The final exam contains short-answer questions, numerical questions, and a mini case study. This is a take home exam with answers uploaded to Canvas using turnitin.  You must pass the exam to pass the course.

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range


High distinction

85 - 100

Awarded when you demonstrate the learning outcomes for the unit at an exceptional standard, as defined by grade descriptors or exemplars outlined by your faculty or school. 


75 - 84

Awarded when you demonstrate the learning outcomes for the unit at a very high standard, as defined by grade descriptors or exemplars outlined by your faculty or school.


65 - 74

Awarded when you demonstrate the learning outcomes for the unit at a good standard, as defined by grade descriptors or exemplars outlined by your faculty or school.


50 - 64

Awarded when you demonstrate the learning outcomes for the unit at an acceptable standard, as defined by grade descriptors or exemplars outlined by your faculty or school. 


0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The Current Student website  provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.  

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

WK Topic Learning activity Learning outcomes
Week 01 Introduction to business operations analysis Lecture and tutorial (3 hr)  
Week 02 Forecasting Demand Lecture and tutorial (3 hr)  
Week 03 Analysing processes and capacity Lecture and tutorial (3 hr)  
Week 04 Quality Management and Statistical Process Control Lecture and tutorial (3 hr)  
Week 05 Layout Strategies Lecture and tutorial (3 hr)  
Week 06 Location Strategies Lecture and tutorial (3 hr)  
Week 07 Supply chain management Lecture and tutorial (3 hr)  
Week 08 Inventory Management Lecture and tutorial (3 hr)  
Week 09 Queues and Congestion Lecture and tutorial (3 hr)  
Week 10 Scheduling Lecture and tutorial (3 hr)  
Week 11 Long term Planning Lecture and tutorial (3 hr)  
Week 12 Lean Operations Lecture and tutorial (3 hr)  

Attendance and class requirements

Lecture recordings: All lectures and seminars are recorded and will be available on Canvas for student use. Please note the Business School does not own the system and cannot guarantee that the system will operate or that every class will be recorded. Students should ensure they attend and participate in all classes.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

  • Heizer, J., Render, B., and  Munson, C. (2017). Operations management. (12th ed.), Global edition, Pearson.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. demonstrate an integrated understanding of various contemporary concepts and best practices used in business operations management
  • LO2. evaluate the assumptions of analytical models in relation to operations management, and to assess the advantages and disadvantages of a variety of contemporary operations management practices
  • LO3. develop an appropriate quantitative models to solve business problems in relation to operations
  • LO4. communicate with other people who are involved in business operations using a data-driven and evidence-based approach
  • LO5. demonstrate an integrated understanding of sustainable operations management and ethical issues related to operations management.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities

This section outlines changes made to this unit following staff and student reviews.

No changes have been made since this unit was last offered.


The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

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