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MSc in Digital Manufacturing Management

This course is aimed primarily at students with an IT/computing background who wish to develop their knowledge and expertise in matching system architectures and software tools to the needs of manufacturing companies. In addition we are seeking to not exclude those with a manufacturing or other engineering background who wish to develop knowledge and understanding of how IT can be harnessed to develop more efficient processes.


LEARNING OUTCOMES

On completion, successful candidates will be able to:

  • Understand the principles of information modelling and database design.
  • Describe the process by which engineered products are designed and interpret technical data at a basic level.
  • Recognise and use a selection of the range of application software available to support existing business processes and technical functions
  • Recognise how collaborative working technologies can be applied to shorten product development cycles.
  • Know Approaches for eliciting user requirements and existing business processes
  • To evaluate manufacturing business systems' requirements in a systematic manner and identify opportunities for creatively applying software solutions to enhance manufacturing systems performance.
  • Critically assess the influences that advanced manufacturing systems behaviours have on the logistics system and how software solutions can be used to mitigate them.
  • Critique system software at the forefront of development regarding their constraints and practical implementation as tools to support business needs.
  • Assess the integration of new systems with existing legacy systems
  • Engage with manufacturing professionals in discussing and interpreting business needs for systems support in planning, implementing and managing advanced manufacturing systems.
  • Extract the key information requirements and system functions needed to support the design and implementation of a new manufacturing system.
  • Participate in a meaningful way with systems developers in identifying needs and selecting appropriate solutions.
  • Work in a self-directed manner to carry out a major project in advancing the application of digital manufacturing management techniques