Cathal is a lead researcher in a number of industrial/nationally funded projects, which involved collaboration with a range of companies, such as Seagate, Intel, Dell, Analog Devices, Boston Scientific, Wyeth and HP. A partner in a number of FP6 projects and in FP7, namely, amePLM (Grant No: 285171) and DREAM (Grant no: 314364)
projects. He has graduated 16 Ph.D. students and 5 Masters by research. Currently, lead researcher in University of Limerick for Productive4.0 (“Electronics and ICT as enabler for digital industry 1 and optimized supply chain management covering the entire product lifecycle”) a ECSEL funded project.
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Cathal is a lead research in the Enterprise Research Centre (ERC) at the University of Limerick his research can be divided into three themes:
(i) The application of simulation to solve system design and operations problems;
(ii) Research on simulation application;
(iii) Supply Chain research
Professor Heavey is a Principal Investigator with CONFIRM
• PhD in Industrial Engineering, National University of Ireland Galway
• MEng, National University of Ireland Galway
• BEng in Industrial Engineering, National University of Ireland Galway
• Member of INFORMS
• Department Editor, Topic Manufacturing Simulation, of the IIE Transactions Journal a publication of The Institute of Industrial Engineers of America
• Associate Editor, Journal of Simulation, a publication of the OR Society
• Analysis and optimization of operations and systems
• Manufacturing systems
• Supply chain systems
• DELL Ireland (Quantitative analysis on costing of services)
• Analog Devices (simulation modelling for FAB)
• Sanmina SCI (simulation for inventory policy costing)
• PCH International (embedded simulation for supply chains)
• Supply Network Shannon (ECOLead FP7 project)
• Wyeth BioPharma (Modelling and optimisation)
• Baush & Lomb (Quantitative analysis of a line)
• Element 6 (supply chain modelling & analysis)
• Boart Longyear (modelling and analysis of manufacturing)
• Simulation modelling of discrete-event systems
• Modelling and analysis of supply chains and manufacturing systems
• Process modelling
• Decision Support Systems