Availabilities:
2024 unit offering information will be available in November 2023
Unit description
Introduces students to the application of a systems-based engineering approach to design of smart manufacturing systems. A scenario-based learning approach is used to guide students in applying a range of practical tools and techniques along with skills in systems analysis, engineering design and project management to a real industry-based engineering project.
Unit content
Module 1: Introduction to Manufacturing Process
Module 2: Metal casting and injection moulding for plastics
Module 3: Metal forming (bulk and sheet forms)
Module 4: Advanced machining process(traditional and non-traditional machining process)
Module 5: Additive manufacturing and 3D printing
Module 6: Automation and Digitalization and Industry 4.0
Learning outcomes
Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.
| On completion of this unit, students should be able to: | |
|---|---|
| 1 | employ a systems approach that accounts for existing and emerging practical knowledge of automated material handling, e-manufacturing, Industry 4.0, and the internet of things along with other relevant contextual factors to define and analyse a well-defined problem related to smart manufacturing systems |
| 2 | apply practical engineering methods, techniques, tools and resources to design solutions to a well-defined problem related to smart manufacturing systems |
| 3 | successfully complete and communicate the outcomes from a well-defined project related to smart manufacturing systems |
| 4 | self-assess use of management skills, social skills and professional judgement in contributing to the successful completion of a well-defined project related to smart manufacturing systems. |
On completion of this unit, students should be able to:
- employ a systems approach that accounts for existing and emerging practical knowledge of automated material handling, e-manufacturing, Industry 4.0, and the internet of things along with other relevant contextual factors to define and analyse a well-defined problem related to smart manufacturing systems
- apply practical engineering methods, techniques, tools and resources to design solutions to a well-defined problem related to smart manufacturing systems
- successfully complete and communicate the outcomes from a well-defined project related to smart manufacturing systems
- self-assess use of management skills, social skills and professional judgement in contributing to the successful completion of a well-defined project related to smart manufacturing systems.
Teaching and assessment
Fee information
Domestic
Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.
Fee paying courses
For postgraduate or undergraduate full fee paying courses please check Domestic Postgraduate Fees OR Domestic Undergraduate Fees
International
Please check the international course and fee list to determine the relevant fees.