DocumentCode :
3473060
Title :
A decision support model for project manager assignments 2.0
Author :
Choothian, Woraruthai ; Khan, Nausheen ; Mupemba, Kabasele Yves ; Robinson, Kent ; Tunnitisupawong, Venice
Author_Institution :
Dept. of Eng. & Technol. Manage., Portland State Univ., Portland, OR, USA
fYear :
2009
fDate :
2-6 Aug. 2009
Firstpage :
1415
Lastpage :
1424
Abstract :
Assigning the right project manager to the right project is one of the critical success factors of an organization´s mission. The objective of a project in an organization is always to maximize the gain or profit of the organization. This gain can be maximized through cautious resource allocation of an organization to its different projects. Dr. Patanakul, Dr. Anderson and Dr. Milosevic developed an optimization model that can be applied in an organization for this cautious resource allocation. The aim of this model is to align the project assignments made with the strategic goals of the organization by matching the competencies of projects managers to different project requirements. However, the limitation of this model is that project managers´ workload is not balanced along the project life cycle. The objective of this paper is to overcome this limitation by extending the model and adding the element of time dimension to it. This extended model would assist top management in balancing and forecasting the workload of each project manager in a given time period.
Keywords :
decision support systems; optimisation; project management; resource allocation; strategic planning; cautious resource allocation; decision support model; optimization model; project manager assignment 2.0; project requirement; strategic goal; workload balancing; workload forecasting; Design optimization; Engineering management; Linear programming; Mathematical model; Predictive models; Project management; Resource management; Software tools; Technology management; User interfaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management of Engineering & Technology, 2009. PICMET 2009. Portland International Conference on
Conference_Location :
Portland, OR
Print_ISBN :
978-1-890843-20-5
Electronic_ISBN :
978-1-890843-20-5
Type :
conf
DOI :
10.1109/PICMET.2009.5262004
Filename :
5262004
Link To Document :
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