DocumentCode :
1820139
Title :
An iterative backward/Forward Technique for the scheduling of resource-constrained projects within Microsoft Project
Author :
Trautmann, Norbert ; Baumann, Philipp
Author_Institution :
Dept. of Bus. Adm., Univ. of Bern, Bern, Switzerland
fYear :
2010
fDate :
7-10 Dec. 2010
Firstpage :
1558
Lastpage :
1562
Abstract :
Microsoft Project is one of the most-widely used software packages for project management. For the scheduling of resource-constrained projects, the package applies a priority-based procedure using a specific schedule-generation scheme. This procedure performs relatively poor when compared against other software packages or state-of-the-art methods for resource-constrained project scheduling. In this paper, we present a scheduling heuristic for Microsoft Project which generates some initial schedules by sampling various priority rules, and improves each of these schedules by iterative backward-forward passes. In order to account for all types of temporal or calendar constraints available in Microsoft Project, the heuristic employs only Microsoft Project´s specific schedule-generation scheme. Computational results for a set of 1320 projects from the standard test set PSPLIB indicate that the presented heuristic renders the resource-allocation capabilities of Microsoft Project comparable to those of the best-performing software packages.
Keywords :
iterative methods; project management; scheduling; software management; software packages; Microsoft project; iterative backward/forward technique; project management; project scheduling; resource-constrained projects; software packages; Europe; Job shop scheduling; Processor scheduling; Project management; Resource management; Schedules; Software packages; Microsoft Project; Project management; RCPSP; experimental analysis; local search; operations research;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
Conference_Location :
Macao
ISSN :
2157-3611
Print_ISBN :
978-1-4244-8501-7
Electronic_ISBN :
2157-3611
Type :
conf
DOI :
10.1109/IEEM.2010.5674171
Filename :
5674171
Link To Document :
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