Abstract
An efficient deployment of the BT workforce in response to the dynamic nature of customer requests for services is crucial to BT’s ability to compete in the ever-competitive telecommunications markets. The Automated Resource Management System (ARMS) is being developed to tackle this challenging problem. Its aim is to efficiently utilise the BT workforce by intelligently assigning engineers in line with forecast and real jobs. ARMS has three major functional components — Forecasting and Job Generation (FJG), Dynamic Planner (DP) and Collaborator.
This paper is based on Collaborator — a computer system responsible for monitoring and supporting resource redistribution decision-making in BT’s operational resource management units. Collaborator enhances the deployment process by allowing dynamic redistribution of engineers among a group of customer service teams (CSTs) so that resource utilisation is improved. Collaborator focuses on balancing the workforce across multiple patches. Collaborator is formulated as a multi-agent coordination problem. Various software agents support the manager’s decision-making process. BT aims to further optimise resource deployment by using this novel approach, and ultimately to substantially reduce its operational costs.
Similar content being viewed by others
References
Owusu G, Voudouris C, Dorne R and Lesaint D: ’Developing a profiler in the ARMS platform’, Proceedings of the Sixth IASTED International Conference on Artificial Intelligence and Soft Computing, pp 541–546, Banff, Canada (July 2002).
Owusu G, Dorne R, Voudouris C and Lesaint D: ’Dynamic planner: a decision support tool for resource planning’, 22nd SGAI International Conference on KBS and Applied AI, in: ‘Applications and Innovations in Intelligent Systems X’, Springer, pp 19–31 (2002).
Steuer R: ’Multiple criteria optimization: theory, computation and application’, John Wiley & Sons Inc, New York (1986).
Osyczka A: ’Multi-criteria optimization for engineering design’, in Gero J S (Ed): ‘Design Optimization’, pp 193–227, Academic Press (1985).
Pareto V: ’Cours D’Economie Politique’, Volume I and II, F Rouge, Lausanne (1896).
Coello C A: ’An updated survey of evolutionary multiobjective optimization techniques: State of the art and future trends’, Proc of the 1999 Congress on Evolutionary Computation, pp 3–13 (1999).
Srinivas N and Deb K: ’Multiobjective optimisation using non-dominated sorting in genetic algorithms’, Evolutionary Computation, 2, No 3, pp 221–248 (1994).
About this article
Cite this article
Virginas, B., Voudouris, C., Owusu, G. et al. ARMS Collaborator — intelligent agents using markets to organise resourcing in modern enterprises. BT Technol J 25, 254–259 (2007). https://doi.org/10.1007/s10550-007-0082-9
Issue Date:
DOI: https://doi.org/10.1007/s10550-007-0082-9