Smart Manufacturing
Description
Recent technological advances in smart sensors, wireless networks, cloud computing and artificial intelligence are bringing new levels of
monitoring and control to manufacturing .This module is concerned with the current and future trends of automation and data exchange in manufacturing technologies.
The practical element of the module is designed to provide the learner with both practical and theoretical exposure to the technical issues associated with the
increasing interconnectedness of devices or “things”. Smart Agriculture is based on Machine-to-Machine (M2M) communications between
‘things’ and the Internet, transforming them into intelligent devices that exchange real time information.
Learning Outcomes
Recognise the required skills and work practices needed for organisations to transition to Industry 4.0.
Discuss the implication of moving towards Industry 4.0 for a particular type of industry.
Collaborate with manufacturing and automation engineers in the transition towards Industry 4.0.
Identify and specify smart-technologies applicable to a particular company.
Research a smart-manufacturing based application and formulate a project proposal.
Select suitable hardware and software elements relelvant to an application.
Develop, integrate and test hardware and/or software elements of a project, on a specified internet of things platform.
Communicate findings and demonstrate project functionality.