LoCM begins working with upcoming TeamBath Racing’18

Building on our work developing real-time project health monitoring dashboards with TeamBath Racing’17, we had the opportunity to work with the project manager and team leads of TeamBath Racing’18 (TBR18) to explore how our dashboards may support early stage project planning.  Specifically, we developed a historical ‘year in review’ dashboard enabling TBR18 to review project activities across the lifecycle of previous TBR project teams. Initial results from a project planning workshop suggest that the provision of the historical dashboard led managers to more clearly delineated design cycles and manufacturing cycles in their build plan Gantt charts, relative to managers without the provision of the historical dashboard. The managers cited that historic project data gave them a clearer, data-driven, perspective of the consequences of design work slippage and the knock on effects of that had in delaying the completion of manufacturing cycles.

LOCM team at Formula Student UK Silverstone 2017

The LoCM team had the opportunity to showcase a number of the dashboard and visualisation tools developed on the project at this year’s Formula Student UK competition event. Over the course four days we shared hands-on demos of our project and knowledge management visualisation dashboards, as well as novel FS health monitoring splash board and interactive AR car model with layered project data. We enjoyed a high level of interest in our data analytic and visualisation techniques from both industry sponsor representatives and Formula Student teams in the UK and abroad, including an invitation to exhibit our research at the upcoming World Motorsport Symposium in November.

International Conference on Engineering Design

The LOCM team have just returned from Vancouver after presenting their research at the International Conference of Engineering Design.

The team presented 3 papers:

Particular congratulations goes to Dr. Snider for receiving best in conference paper award!

 

Congratulations to Dr Sian Joel-Edgar

The LoCM team are pleased to announce that Dr Sian Joel-Edgar has recently been appointed as a Staff Tutor in the School of Computing & Communications at the Open University. Congratulations Sian!

Sian will also continue to conduct exciting research associated with the analysis and visualisation of network-related data as a part-time member of the LoCM team.

LoCM team welcome Dr Nataliya Mogles

The LoCM team are pleased to welcome Dr Nataliya Mogles to the project team. Nataliya has a background in ambient intelligence, agent-based modeling, AI, cognitive modeling and behavior change. Nataliya has joined the team to continue the research work associated with dashboard evaluation and framing (re-representation) to support management and decision-making. Nataliya will work closely with Lia to develop, implement and evaluate dashboards with the Formula Student teams at Bath, Bristol and UWE.

Welcome Nataliya!

Developing a Knowledge Network Visualisation too at the NCC

A knowledge network visualisation tool has been developed to support the National Composite Centre (NCC). Utilising novel text searching algorithms to identify core knowledge competencies from the NCC’s internal documents, the knowledge visualisation tool shows clusters of skills within NCC, which NCC staff members have certain skill-sets and the reports in which people have contributed on. This allows NCC staff members to search for skills and people with those competencies and knowledge, and to traverse the knowledge network within NCC. A first phase development of the software has been trialed in NCC and we are endeavouring to enhance the tool in a cyclical design process that incorporates user feedback.

A demo of the generation process can be found here. Check it out!

Awards at ICED 2017

Showing extraordinary success, two of our papers from LOCM and the University of Bristol have received awards at ICED 2017 for their high quality!

A big congratulations to Dr Chris Snider and Dr Duncan Boa for their hard work and the big payoff.

Their award-winning papers can be found at the links below.

Dr Chris Snider: Identifying the influences on performance of engineering design and development projects

Dr Duncan Boa: Evolving LEGO: Prototyping requirements for a customizable construction kit

 

 

Congratulations to Drs Gopsill and Snider!

The LoCM team are delighted to announce that James (Dr Gopsill) and Chris (Dr Snider) have been appointed as lecturers at Bath and Bristol respectively.  James is a Lecturer in Engineering Design (http://www.bath.ac.uk/mech-eng/people/gopsill/index.html) and Chris is a Lecturer in Design and Manufacture (http://www.bris.ac.uk/engineering/people/chris-m-snider/index.html).

And if appointments as lecturers was not enough both James and Chris are now co-investigators on the LoCM project bringing all of their knowledge and experience to support our new PDRAs.

Congratulations to James and Chris!

Quarter 14 update – June 2017

In this quarter, a dashboard to support Team Bath Racing was implemented as part of an on-going study to examine the how the provision of project health monitoring dashboards affects managers’ interpretation and predictions of project activities and events. Initial results suggest managers using the dashboard focused more on time and personnel aspects of project activity, whereas managers interpretation of project activities without provision of the dashboard has been more product focused. Further, managers using the dashboard appear to be better placed in identifying and addressing missed predicted targets, having been more likely to formulate alternative strategies compared to managers not using the dashboard. In addition, through testing with Formula Student members, this study has also yielded several user driven design recommendations for further improvements to the developed dashboards.

The dashboard prototype designs were finalised in March, providing real-time insights into TBR17’s digital project activity. The dashboard provides team managers with information about the type and level of activity and time spent on creation, modification and manipulation of digital outputs across 16 core areas of their project; as well as their social media reach and impact.