Completed DIAL Research Projects

DIAL works with leading international companies in areas ranging from RFID technology development to through-life product information management. Interaction with industry takes a variety of forms including long-term research collaborations, commissioned research, consultancy and executive education.

Achieving Leveraged Advantage from Distributed Information (ALADDIN)

A 3-year project funded by the Boeing Company, looking at how the vast amounts of data Boeing deals with on a daily basis can be turned into a more valuable commodity for the business.


Aerospace ID Technologies programme (Aero-ID)

The Aerospace ID Technologies Programme was an industry led independent research initiative that provided answers to key deployment challenges to automated ID in the Aerospace sector. It was made up of a number of discrete, finite research projects each centred on a particular aspect of the technology and its application.


Building Radio Frequency IDentification for the Global Environment (BRIDGE)

BRIDGE was a European Union funded 3-year Integrated Project addressing ways to resolve the barriers to the implementation of RFID in Europe, based upon GS1 EPCglobal standards.


Disruption Tolerant Automated Lean Factories (DisTAL)

A 3-year project funded by Boeing, to improve the resilience of manufacturing automation in the face of operational disruptions.


Information Quality for Asset Management (IQAM)

IQAM is an EPSRC funded project that aims to develop a methodology and tool to quantify and optimise information quality in the context of asset management to improve the economic sustainability of asset-intensive organisations.


IT Architectures for Logistics Integration (ITALI)

Developing new logistics IT architectures to enable more efficient and flexible logistics operations.


Failure Diagnosis and Fault-Data Management for Modern Locomotive Systems

Funded by Hitachi Europe Ltd, this project aims to develop an intelligent, adaptive, self-learning fault data management approach and fault-diagnosis tool for train systems.


Organising Production Technology Into Most Responsive States - 3D Print Machine Enabled Networks (OPTIMOS PRIME)

A major challenge for manufacturing supply networks is that of making operations lean for cost and efficiency reasons while at the same time maintaining a level of responsiveness that enables the organisation(s) to meet demands for customised products, fluctuating requests for spares and repairs and to demonstrate resilience to delays in the supply base  in manufacturing operations.


PROduct lifecycle Management and Information tracking using Smart Embedded systems (PROMISE)

PROMISE aimed to develop a new generation of PLM system that uses smart embedded IT systems, allows the seamless flow and transformation of data and information to knowledge and to allow all actors in a product's lifecycle to manage and control product information at any moment of its lifecycle, at any place in the world.


Repair Services for Domestic Appliances

Over the last 30 years, the replacement of failed domestic appliances with new ones has become a relatively inexpensive, quick and easy solution while repair has become a more costly and time-consuming option.


Self-Serving Assets In A Highly Networked Environment (SAHNE)

The SAHNE project aimed to bring the intelligent asset vision alive in the aerospace sector, where parts are self-aware, and have the goal to maximise their life in service by contacting, selecting and procuring service providers autonomously. The project was carried out in collaboration with the Boeing Company.


Strategies for Asset Information Management (SAIM)

SAIM aimed to develop and test new strategies for managing information associated with complex engineering assets. In particular, we aimed to examine and demonstrate the impact of key emerging technologies such as Radio Frequency Identification (RFID) on the effectiveness with which these assets are managed throughout their lifecycle - particularly during the usage and retirement phases.



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