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Not currently available in 2022
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 smart manufacturing technologies
Module 2: Robot integrated manufacturing
Module 3: Automated and material handling within factories
Module 4: E-manufacturing
Module 5: Industry 4.0 and the industrial Internet of Things
Module 6: Design of smart manufacturing systems
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
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International
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