Title :
Measuring and visualizing organizations by relating structure to performance
Author :
Gabbai, M.E. ; Wright, W.A. ; Allinson, N.M.
Author_Institution :
UMIST, Manchester, UK
Abstract :
Within a multi agent system (MAS) environment, principled metrics are developed that encapsulate the structure and performance of organizations. From extensive simulation work, we can explore performance/cost/structure trade-offs; and, by incorporating data visualization techniques, we can observe the emergence of organization classes and begin to identify optimum organizational structures to meet specified constraints and tasks. We illustrate our approach through specific examples and suggest future directions.
Keywords :
data visualisation; multi-agent systems; organisational aspects; self-organising feature maps; virtual enterprises; data visualization; multiagent system; organization visualization; organizational structure; performance measures; self-organising feature maps; Birds; Cost function; Data visualization; Flexible printed circuits; Government; Internet; Medical services; Path planning; Sensor arrays; Sensor systems;
Conference_Titel :
Industrial Informatics, 2003. INDIN 2003. Proceedings. IEEE International Conference on
Print_ISBN :
0-7803-8200-5
DOI :
10.1109/INDIN.2003.1300263