Michael Ahern
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View article: Implementing Industry 4.0: An In-Depth Case Study Integrating Digitalisation and Modelling for Decision Support System Applications
Implementing Industry 4.0: An In-Depth Case Study Integrating Digitalisation and Modelling for Decision Support System Applications Open
The scientific community has shown considerable interest in Industry 4.0 due to its capacity to revolutionise the manufacturing sector through digitalisation and data-driven decision-making. However, the actual implementation of Industry 4…
View article: Implementing Industry 4.0: An In-Depth Case Study Integrating Digitalisation and Modelling for Decision Support System Applications
Implementing Industry 4.0: An In-Depth Case Study Integrating Digitalisation and Modelling for Decision Support System Applications Open
The scientific community has shown considerable interest in Industry 4.0 due to its capacity to revolutionise the manufacturing sector through digitalisation and data-driven decision-making. However, the actual implementation of Industry 4…
View article: Implementation of the IDAIC framework on an air handling unit to transition to proactive maintenance
Implementation of the IDAIC framework on an air handling unit to transition to proactive maintenance Open
Industry is stuck in reactive mode regarding the maintenance of their heating, ventilation and air conditioning (HVAC) systems, which leads to inefficient operation. To avoid wasteful use of natural resources a proactive approach is needed…
View article: Development of a Framework to Aid the Transition from Reactive to Proactive Maintenance Approaches to Enable Energy Reduction
Development of a Framework to Aid the Transition from Reactive to Proactive Maintenance Approaches to Enable Energy Reduction Open
The disparity between public datasets and real industrial datasets is limiting the practical application of advanced data analysis. Therefore, industry is stuck in a reactive mode regarding their maintenance strategy and cannot transition …
View article: Development of a Digital Counterpart to Aid Decision Support on Energy Consumption of an Active Manufacturing Process
Development of a Digital Counterpart to Aid Decision Support on Energy Consumption of an Active Manufacturing Process Open
This research focused on the development of a Digital Model (DM) of a production line at a medical device company, with the objective of providing decision support to stakeholders based on their energy consumption. This model aims to reduc…
View article: loli/medpy: MedPy 0.4.0
loli/medpy: MedPy 0.4.0 Open
Grab it from the cheese shop: https://pypi.python.org/pypi/MedPy/0.4.0