42137 Managing Modern Industrial Automation
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Subject handbook information prior to 2025 is available in the Archives.
Credit points: 2 cp
Result type: Grade and marks
Recommended studies:
Industrial Engineering, Design of Production Systems, Industrial Automation
Description
This subject leverages the industrial automation capabilities and knowledge of UTS and Siemens, providing students with a broad knowledge on how modern industrial automation can transform manufacturing businesses. Topics covered explore the potential that modern industrial automation solutions offers to improve competitiveness and sustainability performance in their industrial operations. Students engage with a variety of case studies throughout this subject which highlight the impact of automation and showcase Industry 4.0 technologies.
Subject learning objectives (SLOs)
Upon successful completion of this subject students should be able to:
| 1. | Understand main elements of factory physics, performance, and quality indicators associated with production systems. (D.1) |
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| 2. | Apply methods and techniques to redesign production systems considering modern industrial automation and industry 4.0 technologies. (C.1) |
| 3. | Assess the impact of adopting a set of industry 4.0 technologies within production systems. (B.1) |
Course intended learning outcomes (CILOs)
This subject also contributes specifically to the development of the following Course Intended Learning Outcomes (CILOs):
- Socially Responsible: FEIT graduates identify, engage, and influence stakeholders, and apply expert judgment establishing and managing constraints, conflicts and uncertainties within a hazards and risk framework to define system requirements and interactivity. (B.1)
- Design Oriented: FEIT graduates apply problem solving, design thinking and decision-making methodologies in new contexts or to novel problems, to explore, test, analyse and synthesise complex ideas, theories or concepts. (C.1)
- Technically Proficient: FEIT graduates apply theoretical, conceptual, software and physical tools and advanced discipline knowledge to research, evaluate and predict future performance of systems characterised by complexity. (D.1)
Teaching and learning strategies
This subject uses a hybrid learning approach and related strategies to create an authentic and industry-relevant learning experience for students. It offers a combination of self-paced online material, interactive online exercise, as well as live sessions hosted both on-campus and online. Throughout the subject students will be presented with contemporary industry case studies relevant to the concepts they are learning. They will also be asked to reflect on how these concepts can be applied to their own professional industry contexts.
Content (topics)
The content of the microcredential is structured into four modules
1. Module 1: Introduction to advanced and sustainable manufacturing strategies
- Production systems, classification and process presentation techniques
2. Module 2: Performance measurement in industrial operations
- Performance Measurement in operations
3. Module 3: Modern Industrial automation in the manufacturing industry
- Evolution of industrial automation and the automation pyramid
- Relevance of data and data science as a key technology enabler
4. Module 4: From Industrial Automation to Industry 4.0
- Fundamentals of (Industrial) Internet of Things
- Cyber-Physical Systems and Digital Twins
- Industrial robots and cobots
Assessment
Assessment task 1: Proposal for industrial automation transition
| Intent: | Students will draw on their professional industry experience to present a proposal for their company’s transition to industrial automation. In doing so students will demonstrate an analytical approach to their current practice and apply their understanding of how automation can contribute to performance improvements in their organisation. |
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| Objective(s): | This assessment task addresses the following subject learning objectives (SLOs): 1, 2 and 3 This assessment task contributes to the development of the following Course Intended Learning Outcomes (CILOs): B.1, C.1 and D.1 |
| Type: | Presentation |
| Groupwork: | Individual |
| Weight: | 100% |
| Length: | 10-15 minutes presentation, should not exceed 10 slides |
Minimum requirements
In order to pass the subject, a student must achieve an overall mark of 50% or more.
Required texts
All required texts and content will be provided through UTS Canvas.
Recommended texts
All recommended texts and content will be provided through UTS Canvas.