CQUniversity Unit Profile
MGMT29009 Operations Management and Business Analytics
Operations Management and Business Analytics
All details in this unit profile for MGMT29009 have been officially approved by CQUniversity and represent a learning partnership between the University and you (our student).
The information will not be changed unless absolutely necessary and any change will be clearly indicated by an approved correction included in the profile.
General Information

Overview

This is an advanced unit. It builds on other units in the Master of Business Administration including ACCT20077 Accounting for Management Decision Making and ECON20040 Economics and Finance for Business. Operations management and business analytics explores the contemporary principles and practices involved in the management of both service and manufacturing operations. Taking a strategic approach to operations, you will examine fundamental concepts such as process planning, design, control and Six Sigma continuous improvement; quality management and lean thinking; the role of the supply chain in modern operations; capacity and location principles as well as the use of project-based activities in an operational environment. You will utilise data from a variety of organisational sources including financial, economic and market information and develop mathematical models as part of the analytical process leading to more effective operational decisions. The unit also provides you with the opportunity to engage in independent research using evidence-based approaches to identify workplace issues and recommend viable solutions that enhance organisational effectiveness.

Details

Career Level: Postgraduate
Unit Level: Level 9
Credit Points: 6
Student Contribution Band: 10
Fraction of Full-Time Student Load: 0.125

Pre-requisites or Co-requisites

Students enrolling in this unit must be undertaking the CL84 Master of Business Administration (International).

Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).

Offerings For Term 1 - 2023

Jakarta

Attendance Requirements

All on-campus students are expected to attend scheduled classes – in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).

Class and Assessment Overview

Recommended Student Time Commitment

Each 6-credit Postgraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.

Class Timetable

Bundaberg, Cairns, Emerald, Gladstone, Mackay, Rockhampton, Townsville
Adelaide, Brisbane, Melbourne, Perth, Sydney

Assessment Overview

1. Written Assessment
Weighting: 40%
2. Report
Weighting: 60%

Assessment Grading

This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%). Consult the University’s Grades and Results Policy for more details of interim results and final grades.

Previous Student Feedback

Feedback, Recommendations and Responses

Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.

Feedback from Teaching team, self-reflection

Feedback

Enhance the participation and/or attendance of the students on the class

Recommendation

More strongly encourage students to participate and/or attend the class.

Unit Learning Outcomes
On successful completion of this unit, you will be able to:
  1. Develop an advanced and integrated understanding of operations managements and business analytics
  2. Critically analyse and reflect on key principles of operations analytics
  3. Critically apply a complex systems approach to analytically identify, analyse and investigate the management of operational functions
  4. Synthesise complex data from a variety of sources and develop mathematical models as part of the analytical process to identify and propose solutions to contentious workplace business problems
  5. Interpret and successfully apply knowledge related to recent development of operations management in service and manufacturing industries.
Alignment of Learning Outcomes, Assessment and Graduate Attributes
N/A Level
Introductory Level
Intermediate Level
Graduate Level
Professional Level
Advanced Level

Alignment of Assessment Tasks to Learning Outcomes

Assessment Tasks Learning Outcomes
1 2 3 4 5
1 - Written Assessment - 40%
2 - Report - 60%

Alignment of Graduate Attributes to Learning Outcomes

Graduate Attributes Learning Outcomes
1 2 3 4 5
1 - Knowledge
2 - Communication
3 - Cognitive, technical and creative skills
4 - Research
5 - Self-management
6 - Ethical and Professional Responsibility
7 - Leadership
8 - Aboriginal and Torres Strait Islander Cultures

Alignment of Assessment Tasks to Graduate Attributes

Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8
1 - Written Assessment - 40%
2 - Report - 60%
Textbooks and Resources

Textbooks

Prescribed

Operations and Supply Chain Management for MBAs

6th Edition (2015)
Authors: Jack R. Meredith and Scott M. Shafer
John Wiley & Sons Inc
Hoboken Hoboken , New Jersey , United States of America
ISBN: 978-1-119-23953-6
Binding: Paperback
Prescribed

Practical Management Science

6the Edition (2019)
Authors: Wayne L. Winston and Christian S. Albright
Cengage Learning
Boston Boston , MA , United State of America
ISBN: 9781337406659
Binding: Paperback

Additional Textbook Information

Purchase of the hard copy of the prescribed textbooks can be arranged through the CQU bookshop

IT Resources

You will need access to the following IT resources:
  • CQUniversity Student Email
  • Internet
  • Unit Website (Moodle)
  • Zoom (both microphone and webcam capability)
Referencing Style

All submissions for this unit must use the referencing style: American Psychological Association 7th Edition (APA 7th edition)

For further information, see the Assessment Tasks.

Teaching Contacts
Adhiguna Mahendra Unit Coordinator
a.mahendra@cqu.edu.au
Swee Kuik Unit Coordinator
s.kuik@cqu.edu.au
Schedule
Week 1 Begin Date: 06 Mar 2023

Module/Topic

  • On completion of the readings and activities associated with this module, the students should be able to:

    • Define operations management
    • Explain how the systems perspective relates to operational activities
    • Explain why customer value is a cost/benefit judgement
    • Describe the various factors that contribute to customer value
    • Relate operational activities to customer value
    • Explain how organisations develop and maintain competitive advantage
    • Describe how strategy relates to operations
    • Compare several different approaches to competitive strategy
    • Explain what core competencies and core capability are and how they relate to both strategy and operations
    • Understand Excel basic
    • Understand the basic terminologies used for linear programming and spreadsheet modelling;
    • understand a seven-step modelling process;

Chapter

Meredith and Shafer, Chapter (pp.1-46)

Events and Submissions/Topic

Class Discussion: The Russia-Ukraina war has been changing the global supply chain landscape. Please discuss how the war affected global value chain and suggest strategies to re-imagine/reinvent value chain to deal with such events.

Excel Practice: Productivity concept (cost/benefit)


Write report on:
Select an organisation of your own choice or any other leading organisation e.g., Toyota, Apple, Coles, Woolworth and outline resources, capabilities and creation of value process building upon the knowledge from today's lecture.

Excel Exercise: Productivity concept (cost/benefit).

Week 2 Begin Date: 13 Mar 2023

Module/Topic

On completion of the readings and activities associated with this module, the students should be able to:
  • explain what the transformation process is
  • describe the basic transformation systems: continuous, flow shop, job shop, cellular and project,
  • choose the most appropriate transformation system for a given situation, and
  • apply transformation principles to the planning and design of service processes.

Chapter

Meredith & Shafer, Chapter 2

Events and Submissions/Topic

Workshop with Excel : Process planning and Design

Excel Homework Practice: Utilisation concept.

Week 3 Begin Date: 20 Mar 2023

Module/Topic

On completion of this module the student should be able to:

  • explain the importance of monitoring and controlling processes
  • describe a variety of process monitoring methods
  • explain how processes are monitored using statistical process control
  • explain how process monitoring methods can be applied to the management of services.

Chapter

Meredith and Shafer, Chapter 7

Events and Submissions/Topic

Excel Workshop practice on Waiting time of patients in ED.

Excel Exercise on Statistical Process Control

Week 4 Begin Date: 27 Mar 2023

Module/Topic

On completion of this module the students should be able to:

  • describe when and how business process reengineering should be used
  • explain the concept of Six Sigma
  • describe the DMAIC model
  • apply the DMAIC process to an operations management problem

Chapter

Meredith and Shafer, Chapter 8

Events and Submissions/Topic

Excel Workshop on Measurement System Analysis

Excel Exercise on DPMO

Week 5 Begin Date: 03 Apr 2023

Module/Topic

On completion of this module the students should be able to:

  • describe the development and history of 'Lean';
  • compare and contrast traditional systems with lean systems;
  • explain how the value stream concept is used in the design of processes;
  • explain how demand pull is used to regulate production;
  • explain how lean principles can be used in services management;
  • explain how lean principles and tools are used in the pursuit of perfection;
  • explain the benefits of 'Lean'
  • explain how Lean' principles can be used to enhance Six Sigma programs

Chapter

Meredith and Shafer, Chapter 9

Events and Submissions/Topic

Workshop on lean system

Excel exercise on Simulation


Assessment 1 Business Report Due: Week 5 Friday (7 Apr 2023) 11:45 pm AEST
Vacation Week Begin Date: 10 Apr 2023

Module/Topic

Chapter

Events and Submissions/Topic

Week 6 Begin Date: 17 Apr 2023

Module/Topic

On completion of this module the students should be able to:

  • learn about the models: descriptive, optimisation, mathematical, spreadsheet;
  • introduce the filed of management science and the process of mathematical modelling;
  • learn how to build spreadsheet in excel
  • Learn basic statistics

Chapter

Winston & Albright, Chapter 2-3

Events and Submissions/Topic

Excel Exercise on Optimization modeling

Excel Homework on Optimization modeling

Week 7 Begin Date: 24 Apr 2023

Module/Topic

On completion of this module The student should be able to:

  • understand the basic fuctionalities and features for Excel Spreadsheet Package;
  • understand the key terms in linear programming: objective function, decsion variables, constraints;
  • learn how to develop excel spreadsheet;
  • learn how to use the Solver add-in and generate some results

Chapter

Winston & Albright, Chapter 2-3

Events and Submissions/Topic

Excel Exercise on Optimization modeling

Excel Homework on Optimization modeling

Week 8 Begin Date: 01 May 2023

Module/Topic

On completion of this module the students should be able to:

  • understand the journey of optimizing linear programming problems in Excels;
  • discuss the different messages that we might see when using the Solver;
  • learn about the interpretation of results;
  • understand sensitivity analysis and shadow prices;
  • use the graphical approach to explain unboundedness, infeasibility, shadow price, etc.

Chapter

Winston & Albright, Chapter 4

Events and Submissions/Topic

Excel Practice on LP

Excel homework on LP

Week 9 Begin Date: 08 May 2023

Module/Topic

On completion of this module the student should be able to:

  • understand the supply chain optimisation;
  • Understanding the importance of network optimisation modelling;

Chapter

Meredith and Shafer, Chapter 6

Events and Submissions/Topic

Excel Practice on Supply Chain optimization

Excel Homework on Supply Chain optimization

Week 10 Begin Date: 15 May 2023

Module/Topic

On completion of this module you should be able to:

  • describe the principles of supply chain management;
  • explain the strategic nature of supply chain management;
  • describe the role of supply chain management in a global business environment;
  • describe the costs associated with inventory management;
  • describe the uses and limitations of the Economic Order Quantity model;

Chapter

Meredith and Shafer, Chapter 6

Events and Submissions/Topic

Excel practice on Inventory management and EOQ

Excel homework on Inventory management and EOQ

Week 11 Begin Date: 22 May 2023

Module/Topic

On completion of this module the students should be able to:

  • explain the relationship between demand, capacity and location,;
  • describe the long-term capacity planning process;
  • explain how schedule management can be applied to effectively utilise capacity;
  • describe both qualitative and quantitative forecasting methods;
  • explain how demand might be managed;
  • explain why it might be necessary to manage demand;

Chapter

Meredith and Shafer, Chapter 4-5

Events and Submissions/Topic

Workshop andExcel Practice on capacity planning

Homework (Excel) capacity planning

Week 12 Begin Date: 29 May 2023

Module/Topic

On completion of this module The students should be able to:

  • explain the difference between a project and a process;
  • explain why good project management skills are important to operations managers;
  • describe and apply the project planning process;
  • explain how the critical path is used in the scheduling of projects;
  • explain how a project is controlled using the 'earned value method';

Chapter

Meredith and Shafer, Chapter 2

Events and Submissions/Topic

Workshop on Project Management

Excel Homework on Critical path


Assessment 2 Business Report Due: Week 12 Friday (2 June 2023) 11:45 pm AEST
Review/Exam Week Begin Date: 05 Jun 2023

Module/Topic

Chapter

Events and Submissions/Topic

Exam Week Begin Date: 12 Jun 2023

Module/Topic

Chapter

Events and Submissions/Topic

Assessment Tasks

1 Written Assessment

Assessment Title
Assessment 1 Business Report

Task Description

The assessment is designed for students to apply operations management principles, theories and models. The assessment involves writing a 2500-word business report responding to assessment questions related to specific topics and/or case materials. Submit your 2500-word business report through Turnitin, Moodle, with a cover sheet showing unit name and number, assessment number, your name and student number. Assessment details and guideline will be provided on the unit website.


Assessment Due Date

Week 5 Friday (7 Apr 2023) 11:45 pm AEST


Return Date to Students

Result and feedback are provided via Moodle.


Weighting
40%

Assessment Criteria

Your report analysis, recommendations and presentation will be assessed according to the following criteria:

  • Demonstrated understanding of operations management frameworks that are related to the questions posed:15%
  • Able to evaluate and articulate practical implications, feasibility, justification and limitation: 20%
  • Accurately explain the latest trends in operations management and make the linkage between practical and theoretical aspects: 15%
  • Articulate appropriate and well-structured, concise and clear expression of operations management arguments in terms of theoretical and practical elements: 15%
  • Provide a clear flow of thought throughout the business report, evidenced by succinct Executive Summary, Introduction, and Conclusion: 15%
  • Critical evaluation and integration of relevant academic and literature to provide theoretical and practical aspects. Insights from a minimum of 15 academic journal articles must be incorporated in your critical analysis: 10%
  • Adherence to APA Reference format: 5%
  • Clarity of writteAssessment #1 Business Reportn expression, grammar, spelling: 5%
  • Report length 2500-words (penalty of 1% per 100-words that exceed the maximum 2750-words). Submissions must be in Business Report format using Word with 1.5 line spacing and Times Roman 12-point font. Late submissions will also be penalised at the rate of "five percent of the total marks available for the assessment each calendar day (full or part) it is overdue" (Policy: Assessment of Coursework section 3.2.4)


Referencing Style

Submission
Online

Submission Instructions
Please submit the assessment via Moodle.

Learning Outcomes Assessed
  • Develop an advanced and integrated understanding of operations managements and business analytics
  • Critically analyse and reflect on key principles of operations analytics
  • Critically apply a complex systems approach to analytically identify, analyse and investigate the management of operational functions
  • Synthesise complex data from a variety of sources and develop mathematical models as part of the analytical process to identify and propose solutions to contentious workplace business problems
  • Interpret and successfully apply knowledge related to recent development of operations management in service and manufacturing industries.


Graduate Attributes
  • Knowledge
  • Communication
  • Cognitive, technical and creative skills
  • Research
  • Self-management
  • Ethical and Professional Responsibility

2 Report

Assessment Title
Assessment 2 Business Report

Task Description

The assessment is designed for students to apply operations management principles and business analytics. The assessment involves writing the business report and responding to assessment questions related to specific topics and/or case materials in operations management. Submit 3500-word Business Report and your quantitative outcomes based on the developed Optimisation Models using Excel Spreadsheets through Turnitin, and Moodle, with a cover sheet showing unit name and number, assessment number, your name, and student number. Assessment details and guidelines will be provided on the unit website.


Assessment Due Date

Week 12 Friday (2 June 2023) 11:45 pm AEST


Return Date to Students

Assessment feedback and grades are to be released upon certification of grades (refer to assessment policy).


Weighting
60%

Assessment Criteria

Your report analysis, recommendations and presentation will be assessed according to the following criteria.

Demonstrated understanding of operations management frameworks and models that are related to the questions posed: 15%

Accurately explain the latest trends in operations management and make the linkage between practical and theoretical aspects: 15%

Accurately suggest and develop the model for detailed analysis in relation to the case applications: 10%

Able to articulate and evaluate scenario modelling to provide insights and limitations based on quantitative outcomes: 10%

Provide appropriate and well-structured, concise and clear expression of operations management arguments in terms of theoretical and practical elements 15% P

rovide a clear flow of thought throughout the business report, evidenced by succinct Executive Summary, Introduction, and Conclusion: 15%

Critical evaluation and integration of relevant academic and literature to provide theoretical and practical aspects. Insights from a minimum of 15 academic journal articles must be incorporated in your critical analysis: 10%

Adherence to APA Reference format: 5%

Clarity of written expression, grammar, spelling: 5%

Report length 3500-words. (penalty of 1% per 100-words that exceed the maximum 4000-words) Submissions must be in Business Report format using Word with 1.5 line spacing and Times Roman 12-point font. Late submissions will also be penalised at the rate of "five percent of the total marks available for the assessment each calendar day (full or part) it is overdue" (Policy: Assessment of Coursework section 3.2.4)


Referencing Style

Submission
Online

Submission Instructions
Please submit the assessment via Moodle.

Learning Outcomes Assessed
  • Develop an advanced and integrated understanding of operations managements and business analytics
  • Critically analyse and reflect on key principles of operations analytics
  • Critically apply a complex systems approach to analytically identify, analyse and investigate the management of operational functions
  • Synthesise complex data from a variety of sources and develop mathematical models as part of the analytical process to identify and propose solutions to contentious workplace business problems
  • Interpret and successfully apply knowledge related to recent development of operations management in service and manufacturing industries.


Graduate Attributes
  • Knowledge
  • Communication
  • Cognitive, technical and creative skills
  • Research
  • Self-management
  • Ethical and Professional Responsibility
  • Leadership

Academic Integrity Statement

As a CQUniversity student you are expected to act honestly in all aspects of your academic work.

Any assessable work undertaken or submitted for review or assessment must be your own work. Assessable work is any type of work you do to meet the assessment requirements in the unit, including draft work submitted for review and feedback and final work to be assessed.

When you use the ideas, words or data of others in your assessment, you must thoroughly and clearly acknowledge the source of this information by using the correct referencing style for your unit. Using others’ work without proper acknowledgement may be considered a form of intellectual dishonesty.

Participating honestly, respectfully, responsibly, and fairly in your university study ensures the CQUniversity qualification you earn will be valued as a true indication of your individual academic achievement and will continue to receive the respect and recognition it deserves.

As a student, you are responsible for reading and following CQUniversity’s policies, including the Student Academic Integrity Policy and Procedure. This policy sets out CQUniversity’s expectations of you to act with integrity, examples of academic integrity breaches to avoid, the processes used to address alleged breaches of academic integrity, and potential penalties.

What is a breach of academic integrity?

A breach of academic integrity includes but is not limited to plagiarism, self-plagiarism, collusion, cheating, contract cheating, and academic misconduct. The Student Academic Integrity Policy and Procedure defines what these terms mean and gives examples.

Why is academic integrity important?

A breach of academic integrity may result in one or more penalties, including suspension or even expulsion from the University. It can also have negative implications for student visas and future enrolment at CQUniversity or elsewhere. Students who engage in contract cheating also risk being blackmailed by contract cheating services.

Where can I get assistance?

For academic advice and guidance, the Academic Learning Centre (ALC) can support you in becoming confident in completing assessments with integrity and of high standard.

What can you do to act with integrity?