Course Title: A.I and Supply Chain Project

Part A: Course Overview

Course Title: A.I and Supply Chain Project

Credit Points: 12.00

Course Coordinator: Dr Jason Downs

Course Coordinator Phone: +61 3 9925 5113

Course Coordinator Email:

Course Coordinator Location: Building 80, City Campus

Course Coordinator Availability: via email

Pre-requisite Courses and Assumed Knowledge and Capabilities


Course Description

The ways in which companies are using Artificial Intelligence (AI) in the warehouse to become more efficient, improve platforms, and streamline the packing process are growing every day. An understanding of the concepts involved, such as: algorithmic analysis; forecasting patterns and information management for inventory management; options to automate processes and equipment (automated forklifts, robotic processing of orders etc) provides insight into how businesses can benefit from AI. Using a project-based approach, these insights will be utilised in real world context, to evaluate whether AI could be utilised in a given business’ context.  Reflecting on business and human outcomes is an important aspect of these considerations.

Understanding the applications and limitations of robotics and artificial intelligence for supply chain outcomes provides a logistical lens through which to evaluate the costs and benefits of technological innovations in general, in business contexts.

Objectives/Learning Outcomes/Capability Development


On successful completion of this course you should be able to:

  1. Analyse applications of robotics, A.I. and machine learning in business contexts.
  2. Identify the key criteria for business decision making regarding the implementation of technologies such as AI into their supply chains.
  3. Identify the human factors that arise due to technological advancement of the workplace.
  4. Apply research and critical thinking skills to inform strategic approaches, solutions and options.
  5. Demonstrate a range of collaborative skills with varied applications.

Overview of Learning Activities

This course is delivered as a blend of face-to-face activities (such as: workshops, lectures and group or industry-based tasks) and online learning. Learning will be focused around the completion of a 12-week project, which will be supported through in-class and online activities. This may include: project development activities; guest speakers/expert commentators; prescribed readings; researching and analysing specific information; solving problems; producing artefacts; proposing solutions; seeking and providing peer feedback; and reflective praxis.

Overview of Learning Resources

Various learning resources are available online through MyRMIT Studies/Canvas. Class activities, recordings, notes and outcomes are posted on Canvas.

Resources are also available online through RMIT Library databases and other facilities. Visit the RMIT library website for further details. Assistance is available online via our chat and email services, face to face at our campus libraries or via the telephone on (03) 9925 2020.

Additional resources and/or sources to assist your learning will be identified by your course coordinator and will be made available to you as required during the teaching period.

Overview of Assessment

The assessment tasks, their weighting and the course learning outcomes to which they are aligned are as follows.

Assessment Task 1: 15%
Linked CLOs: 1, 3

Assessment Task 2: 35%
Linked CLOs: 1, 2, 3, 4

Assessment Task 3: 50%
Linked CLOs: 1, 2, 3, 4, 5

Feedback will be provided throughout the semester in class and/or in online forums through individual and group feedback on progress, milestones and approaches, and by individual consultation.