Smart Manufacturing Engineering

In manufacturing, the digital future is right here, right now.

Enhance your knowledge and transform your career by equipping yourself with cutting-edge skills in connecting systems and data to drive innovation and manage quality in smart manufacturing.

Gain expertise and hands-on experience in robotics and automation, AI and neural networks and cyber-physical systems for optimising lean processes and outcomes.

Specialisation overview

The dynamic and transformative field of smart manufacturing offers businesses unprecedented opportunities to enhance productivity, reduce costs, and improve overall competitiveness.

You’ll learn to optimise production systems, improve efficiency and drive innovation by harnessing the power of advanced technologies like artificial intelligence, machine learning, robotics and cyber-physical connectedness.

Use digital twin technology to simulate an entire production facility, optimising layouts, resource allocation, and workflow efficiency. Or harness and analyse real-time data to forecast equipment maintenance needs, reducing downtime.

Help shape the future of the next generation of industries as a smart manufacturing engineer.

See the course map and handbook for an outline of the course structures, units and electives.

Smart manufacturing is the nexus where robotics, digital twins, cyber-physical systems and AI converge. This course equips engineers with a deeper understanding of these integrated systems, preparing them for the challenges and opportunities of modern industry.”
KEENAN GRANLAND
PhD graduate in robotics and mechatronics
Lab Manager, Monash Smart Manufacturing

Careers in Smart Manufacturing Engineering

Demand for professionals with knowledge and skills in smart manufacturing is surging as industries worldwide embrace rapid technological change and digital disruption. You could:

Integrate robotics into manufacturing systems and design human-machine interfaces for seamless control
Connect machines using internet of things (IoT) principles for real-time monitoring and predictive maintenance
Implement deep learning and AI-based inspection, process optimisation and product quality assurance methods
Develop digital twin replicas and simulations for developing new processes, optimising current processes, and product lifecycle management
Streamline supply chain management with smart systems and AI-driven demand forecasting.

What you will learn

Advanced robotics in manufacturing

Be part of the new industrial revolution by exploring the design and dynamics of advanced robotic systems in manufacturing and industrial automation.
Instrumentation, sensing and monitoring

Explore strategies and cyber-physical methods for efficient monitoring and reporting across the manufacturing process, using real-time data and analytics.

Lean manufacturing

Embrace the principles of maximising customer value while minimising waste, and their relationship to sustainability and competitive advantage, managing capacity and identifying bot
Additive manufacturing

Gain a comprehensive understanding of existing and emerging additive manufacturing technology, one of the foundational technologies of digital manufacturing, along with practical skills in computer-aided design and 3D printing of a range of materials.

Neural networks and deep learning

Dive into deep learning technologies and understand programming approaches for training and deploying neural networks to analyse data, predict maintenance needs, and optimise processes in smart manufacturing.