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Simulating agents as balanced scorecard objectives

Matsatsinis Nikolaos, Doulamis Anastasios, Delias Pavlos

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/C03F9CF1-F039-4466-B890-D137ECF230D1
Έτος 2008
Τύπος Πλήρης Δημοσίευση σε Συνέδριο
Άδεια Χρήσης
Λεπτομέρειες
Βιβλιογραφική Αναφορά P. Delias, A.D. Doulamis, N. Matsatsinis.(2008).Simulating agents as balanced scorecard objectives.Presented at International Conference on Distributed Human-Machine Systems .[online]. Available:http://www.researchgate.net/profile/Pavlos_Delias2/publication/215460190_Simulating_Agents_as_Balanced_Scorecard_Objectives/links/00b495224a97d3b9b2000000.pdf
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Περίληψη

Balanced Scorecard is a measurement system which organizations apply for monitoring their strategic goals. Although this way it is possible to assess the progress of each goal, there is no structured way to reconsider resource allocation to those goals and to plan an optimal allocation scheme. In this paper we use a methodology that matches each goal with an autonomous entity (agent). We let agents deploy their own resources sharing behaviour during simulation time. The overall performance is evaluated through a set of functions and genetic algorithms are used to suggest approximate optimal behaviour’s schemes. Finally, results from the implementation of the methodology on a scorecard of a real organization are presented.

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