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A genetic approach for strategic resource allocation planning

Matsatsinis Nikolaos, Pavlos Delias

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URIhttp://purl.tuc.gr/dl/dias/B30BBA4E-4A46-44A7-B3F7-586B11073F14-
Identifierhttps://doi.org/10.1007/s10287-006-0036-6-
Languageen-
Extent12 pagesen
TitleA genetic approach for strategic resource allocation planningen
CreatorMatsatsinis Nikolaosen
CreatorΜατσατσινης Νικολαοςel
CreatorPavlos Deliasen
PublisherSpringer en
Content SummaryEnterprises often implement a measurement system to monitor their march towards 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 (or near optimal) allocation scheme. In this study we propose a genetic approach to match each goal with an autonomous entity (agent) with a specific resource sharing behavior. The overall performance is evaluated through a set of functions and genetic algorithms are used to eventuate in approximate optimal behavior’s schemes. To outline the strategic goals of the enterprise we used the balanced scorecard method. Letting agents deploy their sharing behavior over simulation time, we measure the scorecard’s performance and detect distinguished behaviors, namely recommendations for resource allocation. en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-04-
Date of Publication2009-
SubjectPerformance measurementen
SubjectGenetic algorithmsen
Bibliographic CitationP. Delias, N. Matsatsinis ," A genetic approach for strategic resource allocation planning," Comp. Management Sc.,vol. 6 ,no. 3, pp. 269-280,Aug. 2009.doi:10.1007/s10287-006-0036-6en

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