Following the Project Advisory Group meeting of our industrial partners in the summer, and further feedback from industrial partners, the focus of research has been on the following areas: the configuration of prototype project dashboards and the development of the concept of engineering project health monitoring, and in particular, the proxies of performance of engineering projects – i.e. features of interest for project stakeholders. To address the latter a series of ethnographic studies are to be undertaken.
Below are some examples of composites of various analyses we are now able to undertake. Here we are mapping sentiment and type of email being sent onto a representation of a product – who is saying what about each part of the product? This could give project managers valuable early warning about potential issues:
Similarly, this example dashboard shows various information about aircraft repairs, using a visual representation of the aircraft and damage location:
Based on a review of extant research combined with scoping of datasets digital assets are to be split into three types (communications, records and representations) and four classes of attribute (physical, content, context, and semantic). A series of scoping studies are being undertaken around communication in a large systems engineering project, the digital assets associated with a Formula Student project and the workflow of an in-service repair and maintenance department.
We’ve also begun exploring visualisations of the outputs – here is a ‘theme river’ showing how various key topics from a project wax and wane over the lifetime of a project – all extracted automatically:
And here is an example of an automatic analysis of how terms used in a project are related to each other – this could be used to help uncover hidden dependencies, for example:
Since the project kick-off meeting in September the project team has focused on four interrelated areas. These are: understanding extant research, developing a data management plan, initial exploratory studies, and developing analytic capability including the use, modification and creation of tools (code) and associated methods, such as semantic analysis.
For example, this graph shows the evolution of various types of digital object over the life of a project. It looks pretty, but what we can tell from this? Does a ‘good’ project and a ‘bad’ project look the same?
Well it turns out that (thankfully) there is quite a lot that is interesting! September saw us host our Industrial partners at the University of Bath for a kick-off session to help shape the programme.
Two questions were posed, the first around expectations or current pain points, and what our partners were hoping to get out of the project. There was a huge range of responses, such as:
- Moving away from phase-gate – stage-gate often too late
- Formalising the dynamic design process (awareness)
- Making sense of the ‘fog of war’
- Monitoring team collaboration/divergence – ‘alignment of activities’
- Is there a ‘stable design’ anymore?
- Knowledge modelling – re-use of knowledge/information
Continue reading “What’s interesting about this anyway?”
The Universities of Bristol and Bath are set to receive part of a £12M grant aimed at improving the manufacturing competitiveness of the UK.
The Engineering and Physical Sciences Research Council is making the awards as part of a £45 million package of investments in manufacturing research announced by David Willetts, Minister for Universities and Science.
Professor Ben Hicks will lead a £1.9 million project called ‘The Language of Collaborative Manufacturing’. Prof. Hicks’ research is aimed at producing a new suite of ICT tools and a ‘next generation project dashboard’ to address major issues in modern engineering projects.
Prof. Hicks commented “Modern engineering projects such as aircraft manufacture operate globally, and involve thousands of engineers and companies. Managing such collaborative, large-scale, high-value engineering projects and the communications within them is complex and risky.
“Companies need to minimise delivery setbacks cost overruns, risk and collapsed projects. Overruns on engineering projects cost the US economy $150 million a day.”
Continue reading “£1.9M grant for Universities of Bristol and Bath”