DocumentCode :
2019860
Title :
Optimized Allocation of Expert Human Resources to Project
Author :
Sebt, Mohammad Hasan ; Akrami, Amir ; Banki, Mohammad Tagi ; Shahhosseini, Vahid
Author_Institution :
Fac. of Civil Eng., Amirkabir Univ. of Technol., Tehran
fYear :
2009
fDate :
25-29 May 2009
Firstpage :
386
Lastpage :
391
Abstract :
A project is a temporary organization; therefore, when a project starts, the organizational arrangement of human resources must change. This issue certainly will influence the operation processes and will need procedures such as allocation of personnel to the projects, releasing them from the project and assigning employees to project activities. In addition, expense of utilizing internal and outside worker forces could be different, which may force us to consider financial and duration limitation of the project for the specific time period. To do so and in order to maximize utilization of internal resources, in this study we present a linear integer programming model. Maximizing the project benefit function, this model shows the optimum allocation of experts in the project. In order to simulate this model, after gathering the information from a running project in Iran, the data of the project has been simulated by using CPLEX software with AMPL language, which the working hours of each employee in each time (map of engineers) will be the output, so that the project benefit would be maximum.
Keywords :
human resource management; integer programming; manufacturing data processing; AMPL language; CPLEX software; expert human resources; integer programming; optimized allocation; personnel allocation; project benefit function; Asia; Assembly; Buildings; Civil engineering; Construction industry; Human resource management; Linear programming; Personnel; Project management; Resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modelling & Simulation, 2009. AMS '09. Third Asia International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4244-4154-9
Electronic_ISBN :
978-0-7695-3648-4
Type :
conf
DOI :
10.1109/AMS.2009.146
Filename :
5072017
Link To Document :
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