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LOGS12007 - Analysing Supply Chains

General Information

Unit Synopsis

This unit is an introduction to analysis and decision methods and their application in Supply Chain environments. The unit will introduce students to foundational quantitative skills and further expose them to data analysis methods, specifically focusing on the use of computer based modeling analyses to support decision-making at both strategic and tactical levels.

Details

Level Undergraduate
Unit Level 2
Credit Points 6
Student Contribution Band SCA Band 4
Fraction of Full-Time Student Load 0.125
Pre-requisites or Co-requisites There are no pre-requisites for the unit.

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).

Class Timetable View Unit Timetable
Residential School No Residential School

Unit Availabilities from Term 2 - 2019

Term 2 - 2019 Profile
Online

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).

Assessment Overview

Recommended Student Time Commitment

Each 6-credit Undergraduate 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.

Assessment Tasks

Assessment Task Weighting
1. Practical Assessment 40%
2. Written Assessment 30%
3. Examination 30%

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

Past Exams

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Previous Feedback

Term 2 - 2019 : The overall satisfaction for students in the last offering of this course was 4.5 (on a 5 point Likert scale), based on a 50% response rate.

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.

Unit learning Outcomes

On successful completion of this unit, you will be able to:

  1. Analyse the use of Predictive techniques, such as Time series and Linear regression, for the purpose of developing forecasts and be able to apply the techniques in a Supply Chain context.
  2. Compare and contrast the uses of Descriptive techniques, such as Net Present Value (NPV), capacity requirements, time studies, Statistical Process Control (SPC) and queueing methods and apply them in a Supply Chain context.
  3. Critically examine the uses of Evaluative techniques such as breakeven analysis and decision theory and apply them in a Supply Chain context.
  4. Describe and discuss the uses of Optimising techniques such as inventory optimisation, linear programming, network optimisation and transport routing optimisation and apply them in a Supply Chain context.
  5. Evaluate the most suitable quantitative techniques to analyse Supply Chain problems.
  6. Apply suitable techniques to analyse supply chain data with the aim of making business decisions.

Alignment of Assessment Tasks to Learning Outcomes
Assessment Tasks Learning Outcomes
1 2 3 4 5 6
1 - Practical Assessment
2 - Written Assessment
3 - Examination
Alignment of Graduate Attributes to Learning Outcomes
Introductory Level
Intermediate Level
Graduate Level
Graduate Attributes Learning Outcomes
1 2 3 4 5 6
1 - Communication
2 - Problem Solving
3 - Critical Thinking
4 - Information Literacy
6 - Information Technology Competence
8 - Ethical practice
Alignment of Assessment Tasks to Graduate Attributes
Introductory Level
Intermediate Level
Graduate Level
Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8 9 10
1 - Practical Assessment
2 - Written Assessment
3 - Examination