DocumentCode :
1872771
Title :
Project Scheduling Problem with Weighted Multi-Skill Resources: Enhancing the Efficiency of Project Scheduling
Author :
Al-Anzi, Fawaz S. ; Al-Zamel, Khaled ; Allahverdi, Ali
Author_Institution :
Dept. of Comput. Eng., Kuwait Univ., Safat, Kuwait
fYear :
2010
fDate :
10-12 Dec. 2010
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we present an extension of the classical Resource Constrained Project Scheduling Problem (RCPSP). We present a new type of resource constraints in which staff members are involved. We present a new model where staff members can have several skills with different proficiency, i.e., a staff member is able to perform more than one kind of activity as well as the time need is complete the task assign depends on the staff individual skill. We call this model the Weighted-Multi-Skill Project Scheduling Problem (WMSPSP). In our model, an activity has specific skill requirements that must be satisfied. To solve this problem we propose a lower bound that uses a linear programming scheme proposed for the RCPSP.
Keywords :
linear programming; personnel; project management; scheduling; linear programming; resource constrained project scheduling problem; resource constraint; staff individual skill; weighted multi-skill resource; weighted-multi-skill project scheduling problem; Approximation algorithms; Approximation methods; Job shop scheduling; Linear programming; Processor scheduling; Schedules; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5391-7
Electronic_ISBN :
978-1-4244-5392-4
Type :
conf
DOI :
10.1109/CISE.2010.5676870
Filename :
5676870
Link To Document :
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