DocumentCode :
3300374
Title :
The Allocation Optimization of Project Human Resource Based on Particle Swarm Optimization Algorithm
Author :
Wang, Shao-Qiang ; Gong, Li-Hua ; Yan, Shi-Liang
Author_Institution :
Dept. of Comput. Sci. & Technol., Changchun Univ., Changchun, China
fYear :
2009
fDate :
11-12 July 2009
Firstpage :
169
Lastpage :
172
Abstract :
The allocation optimization of project human resource is one of the most essential aspects in a project management. A situation with employees working on tasks that they are not well-suited for can lead to a significant loss of time and resources in addition to a sub-par product or service. This paper present a project human resource allocation method based on particle swarm optimization (PSO) in a project organization. We developed the mathematical model of project human resource optimization allocation using the competency model theory, and then in order to obtain a solution efficiently, we proposed a particle swarm optimization algorithm (PSO) approach based on the decision-making model for solving the allocation optimization problem of project human resource. According to the proposed method, we applied the PSO to seek feasible solution for the problem. The effectiveness of the proposed algorithm was validated by its application to an illustrative example dealing with project human resource allocation problem.
Keywords :
decision making; human resource management; organisational aspects; particle swarm optimisation; personnel; project management; allocation optimization; decision-making model; employees; mathematical model; particle swarm optimization algorithm; project human resource allocation method; project human resource management; project management; project organization; sub-par product; Birds; Conference management; Human resource management; Mathematical model; Packaging; Particle swarm optimization; Personnel; Power engineering and energy; Project management; Resource management; Allocation Optimization; Particle Swarm Optimization; Project Human Resource;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Science, Management and Engineering, 2009. SSME '09. IITA International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-0-7695-3729-0
Type :
conf
DOI :
10.1109/SSME.2009.113
Filename :
5233319
Link To Document :
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