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.
During this quarter the focus of our research effort has continued to be on monitoring of the Formula Student team and testing of the NCC competence mapping tool. In addition, this quarter has seen two PDRAs start lectureships in Engineering and Design at the universities of Bristol and Bath respectively.
This included an LoCM exhibit at the Formula Student event, an industry workshop on the exploitation of digital assets and a master classes on digital data extraction and visualization for the Sociological Association of Ireland (SAI).
Just over 30 people attended our workshop including Airbus (keynote speakers), Thales, Wessex Water, HS2, ARUP, EAML, RiskHive, Ares (Bath & Industry – speaker), Dashboard Ltd, Ex JLR gent, Loughborough Uni/Rolls Royce and Coventry University. A big thank you to everyone for making it such an interesting, engaging and valuable day!
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!
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
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!
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.
On Tuesday the 6th June the LOCM team, led by Professor Newnes, will be hosting a workshop on exploiting digital assets for engineering companies. The day will provide demonstrations/interaction with the research that we have undertaken with our industrial partners with the aim of providing delegates with an overall insight into the methods we have adopted using a hands-on approach. The day will include talks from Airbus personnel and research staff. In addition, the afternoon session will provide a forum for industry to present the challenges and opportunities for exploiting digital assets in support of engineering projects, process improvement and engineering operations and asset support through-life.
We welcome all our collaborators past and preset and hope to see many of you on the 6th. To register to attend please complete the form at https://www.eventbrite.com/e/exploiting-digital-assets-to-maximise-return-on-investment-of-physical-assets-tickets-34609295334.
The event is free to attend.
During this quarter our research efforts have been largely focused on the detailed design, setup and commissioning of the data acquisition, database system, dashboard development environment and experimental program for the formula student design and build phase that takes place between February and May 2017. In addition to this we have been providing on going support for the National Composites Centre competency dashboard and Airbus in-service resource and performance toolset.
During this quarter 2 research papers have been prepared and submitted to the International Conference on Engineering Design, and a journal article has been accepted to the Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. The project team have also been invited to showcase elements of the project, and in particular, Formula Student at the Maker Faire exhibition in Newcastle in April (http://www.makerfaireuk.com). Dr. Gopsill has also been invited to present research on automatically generated Design Structure Matrices (DSMs) at the Centre for Systems Engineering and Innovation at Imperial College London in June.
In our group at University of Zagreb (www.cadlab.fsb.hr), we think about ourselves as systems thinkers. For a long time, our teaching and research were focused purely on the technical systems and studying the phenomenon of the design as a product or as a process. Following the global trends and shifting a focus towards the information and knowledge management in engineering design, with particular attention being on the human role in interaction with the technical systems either as users or designers, moved us toward new, exciting area of socio-technical systems. Understanding how individuals and teams are performing in interaction with each other and technical systems, and adapt to the changes due to the internal (such as team boundaries or perturbations in organisational structure) and external (such as market trends, new customer’s requirements or changing technologies) circumstances, become recently our new research objective.
To cope with the challenges of such a multidisciplinary topic, we decided to introduce new research methods in our group, following the research paradigms borrowed from social sciences and computer science. The experimental design research becomes the central paradigm, including observation and analysis of the human participants during the individual or teamwork in engineering design, or building computer simulations of the engineering teams by application of the agent-based modelling. We are following the same in teaching, where our focus is gradually shifting towards smart products that interact and co-exist with humans in ways that were not being the case before. Possibility to acquire the real-time data about the performance and interactions of the technical systems and people are enabling us new opportunities for management of the design and development process complexity but is also opening endless possibilities for innovation in research and education.