PhD Scholarship: Model-Based-System-Engineering for Advanced Analytics
The Confirm Centre for Smart Manufacturing is a new Science Foundation Ireland and industry-funded research centre headquartered at the University of Limerick with partner institutions Tyndall National Institute, University College Cork, Cork Institute of Technology, NUI Galway, Maynooth University, Athlone Institute of Technology and Limerick Institute of Technology. The Centre, which is funded by Science Foundation Ireland with co-funding from industry, brings together 42 industry partners and partners with 16 international manufacturing centres from around the globe to focus on the development of smart manufacturing for applications across Ireland’s leading industrial sectors. Confirm’s ambition is to become a world leader in smart manufacturing research and to enable Irish industry to fundamentally transform to a smart manufacturing ecosystem, delivering measurable and visible economic impact to Ireland. The successful candidate will work with a world-class team of academics, researchers and industry partners in a highly innovative and motivated environment.
Traditionally, systems-engineering practice has been dominated by paper (or paper-equivalent electronic files) documents. Such documents are read only by human beings, who comprehend the document and take further action. This practice is being replaced by a systems-engineering discipline that is based on information models that can be read by machines (in addition to being read by humans). Machine-readability is a prerequisite for automation, which improves both the quality and speed of information processing in systems engineering. Engineering complex systems, such as manufacturing and supply chains, has been moving steadily away from document-based practice to a model-based discipline. In fact, success in engineering complex systems strongly depends on the proper application of model-based systems engineering (MBSE) to allow sharing of requirements across different disciplines.
The objective of this thesis is to carry out research into Model-Based-System-Engineering (MBSE) methods to support requirements gathering in manufacturing and supply chains to support the use of advanced analytical models.
The steps of the research are: (i) research the literature on MBSE and its wider importance to support quantitative methods in the implementation of Industry 4.0 (ii) This research work will be carried out within the SFI CONFIRM project from which user requirements will be gathered from a number of companies in this project; (iii) have knowledge of and be able to evaluate a number of methods available within the MBSE topic, that differ in degree of formality and check of system and design properties, with particular focus on Cinco (https://cinco.scce.info/) and DIME (http://dime.scce.info/), standards Systems Modeling Language (SysML) and Business process modeling notation (BPMN); (iv) Carry out research into integration of MBSE tools and quantitative tools; (v) Propose an overall architecture for integration of an MBSE tool and quantitative tools; (vi) develop test bed to validate the overall proposed architecture.
First class honours undergraduate degree, Master’s degree, or equivalent, in a field related to the project, such as computer science, engineering.
We require persons with good expertise in programming, and good communication skills.