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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:
1employ 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
2apply practical engineering methods, techniques, tools and resources to design solutions to a well-defined problem related to smart manufacturing systems
3successfully complete and communicate the outcomes from a well-defined project related to smart manufacturing systems
4self-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:

  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.

Teaching and assessment

Notice

Intensive offerings may or may not be scheduled in every teaching period. Please refer to the timetable for further details.

Southern Cross University employs different teaching methods within units to provide students with the flexibility to choose the mode of learning that best suits them. SCU academics strive to use the latest approaches and, as a result, the learning modes and materials may change. The most current information regarding a unit will be provided to enrolled students at the beginning of the teaching period.

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.

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