Overview

This unit provides students with an understanding of some of the latest innovative supply chain technologies and tools that enable change management and increase efficiency of operations in the supply chain sector. Students are required to leverage their learning to assess the potential impact, opportunities and threats for adopting such technologies as part of business case project.

Requisites

Prerequisites
SCM80002 Innovative Supply Chain Technologies

Rule
100 credit points
AND
Enrolment in Master of Supply Chain Innovation

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 2
Location
Hawthorn
Start and end dates
29-July-2024
27-October-2024
Last self-enrolment date
11-August-2024
Census date
31-August-2024
Last withdraw without fail date
13-September-2024
Results released date
03-December-2024
Semester 1
Location
Hawthorn
Start and end dates
03-March-2025
01-June-2025
Last self-enrolment date
16-March-2025
Census date
31-March-2025
Last withdraw without fail date
24-April-2025
Results released date
08-July-2025
Semester 2
Location
Hawthorn
Start and end dates
04-August-2025
02-November-2025
Last self-enrolment date
17-August-2025
Census date
31-August-2025
Last withdraw without fail date
19-September-2025
Results released date
09-December-2025

Learning outcomes

Students who successfully complete this unit will be able to:

  • Demonstrate a critical understanding of innovative supply chain technologies both in theory and in practice
  • Critically analyse and evaluate the role of technology in current and future supply chains
  • Apply coherent and advanced knowledge of innovative supply chain techniques to organisational and business problems and identify possible opportunities
  • Work collaboratively with a diverse range of people and act as a member and a leader of a team
  • Apply knowledge of research principles and methods to plan and execute a piece of research

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
On-campus
Class		2.00 12 weeks 24
Online
Lecture		1.00 12 weeks 12
Unspecified Activities
Independent Learning		9.50 12 weeks 114
TOTAL150

Assessment

Type Task Weighting ULO's
Business case and PresentationGroup 40 - 50% 1,2,3,4 
Research FolioIndividual 50 - 60% 1,2,3,5 

Content

  • 3D Printing,
  • Robots and Cobots,
  • Internet of Things,
  • Artificial Intelligence,
  • Chatbots
  • Blockchain
  • Virtual Reality/Augmented Reality
  • Industry 4.0

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.