The Language of Collaborative Manufacturing is a £1.9M research project sponsored by the Engineering and Physical Sciences Research Council and led by the Universities of Bristol and Bath in collaboration with our industrial partners. We aim to deliver next-generation project dashboards that can identify potential project issues, improve productivity, and improve the management of aspects such as intellectual property, risk and cost.
We’ve had a busy couple of months as we begin to consolidate the various strands of work and ramp-up our industrial engagement. We ran two Participatory Design Sessions in May, picking the brains of over 50 engineers – one with Frazer Nash Consultancy, and one at the Design 2016 International design conference, with a great mix of industry and academic input…
This week we’re at the 7th International Design Computing and Cognition conference in Chicago.
Our project has just been presented via an elevator pitch and a poster. The feedback was great, with lots of interest and enthusiasm for the concept of engineering Project Health Monitoring (ePHM).
Delegates were really interested in the set of project features that we have developed and the ‘proxies’ that we use to monitor these. As a consequence, we are going to add a new section to this website that summarises each proxy and the project features for which it can provide insight. Want to know more? Check out the poster and abstract below…
As part of our efforts to understand what matters most to engineering project managers, and what they most struggle with when it comes to managing their products, we have been conducting a survey to develop an in-depth understanding of the major performance-influencing aspects of projects within various company contexts, and how well these are monitored and understood by the project management tools currently in use.
Waking up at 4:30am? We don’t mind when it’s because we’re flying to Cavtat in Croatia for the Design 2016 conference!
If we can drag ourselves away from the pool at the ‘Team LOCM’ villa, we will be running a workshop on “Designing the next generation of project management dashboards for global engineering projects.” This will be at 13:45 today Monday 16th May in Salon 5 – please do come along.
You’ll also see some of the team presenting throughout the week:
- Session 214: 8:15-10:15 Tuesday 17th May, Congress Hall Konavle
Dr Chris Snider – Determining work focus, common language and issues in engineering projects through topic persistence.
- Session D212: 08:15-10:15 Tuesday 17th May, Congress Hall Bobara
Dr Duncan Boa – Discriminating Engineering Information Interaction using eye tracking and an information operations model.
- Session D412: 08:15-10:15 Thursday 19th May, Congress Hall Bobara
Dr James Gopsill – Computer aided design user interaction as a sensor for monitoring engineers and the engineering design process.
New year, time to reflect on progress to date, consolidate and plan for the coming year. And brighten up a cold winter’s day with some fun activities (hint: It turns out that our mild-mannered computer scientist Leon is a bit of an expert with an airgun!)
In that spirit, the LOCM team escaped the office for a spot of team-building and idea generation, particularly around the best way to create impact from our research. We don’t just want to publish high quality papers in leading conferences and journals, you know!
As well as the specific work we are undertaking with our partners such as Airbus and the National Composites Centre, we also identified some more generic, transferable outputs, including:
In this period we have been verifying and validating the various analytical methods and began research to understand user contexts in order that we can begin to research dashboard concepts. Work in the area of analysis of representations has led to models to predict time to completion and stability of CAD models. For example, we can accurately predict time to completion when the model is only about 50% complete:
Through this work we have partnered the National Composite Centre (NCC) to explore transfer-ability of the techniques to Finite Element Analysis (FEA). Work with the NCC is also exploring the automatic mapping of capability and competencies.
In this quarter we have demonstrated analytical approaches for revealing previously hidden product and process dependencies through analysis of User-CAD interaction and content of technical reports/communications and novel methods for monitoring and predicting likely project complexity for routine projects.
For example, we’ve been using co-occurrence analysis to reveal model product dependencies. However, unlike traditional methods, we can also include data from representations such as CAD models: