The aim of this project is to create new models for scheduling of a large, mobile workforce in a dynamic environment. Existing approaches lack the flexibility to make the most efficient use of available human and other resources for such complex problems. More efficient work team schedules offer the potential for considerable financial return for the large problem considered.

Project staff and support

Stephen Remde (Postgraduate KTN Associate, University of Bradford)
Peter Cowling (Academic supervisor, University of Bradford)
Evgeny Selensky (Industrial supervisor, @Road)
Melvin Brown (Technology Translator, Smith Institute)

This project is being carried out at the University of Bradford, in conjunction with @Road. It is supported by an EPSRC Industrial CASE award, made available through the Faraday Partnership for Industrial Mathematics. Start date: June 2004; duration: 3.5 years.