Multimode resource-constrained project scheduling in flexible projects

Flexible agile and extreme project management methods have become increasingly popular among practitioners, particularly in the IT and R&D sectors. In contrast to the theoretically and algorithmically well-established and developed trade-off and multimode methods applied in traditional project m...

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Veröffentlicht in:Journal of global optimization Jg. 76; H. 1; S. 211 - 241
Hauptverfasser: Kosztyán, Zsolt T., Szalkai, István
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.01.2020
Springer
Springer Nature B.V
Schlagworte:
Algorithms
Computer Science
Industrial project management
Management methods
Mathematics
Mathematics and Statistics
Operations Research/Decision Theory
Optimization
Project management
Real Functions
Resource scheduling
Task scheduling
Matrix-based project planning
Flexible project management approaches
Multimode resource-constrained project scheduling problem
ISSN:0925-5001, 1573-2916
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Zusammenfassung:Flexible agile and extreme project management methods have become increasingly popular among practitioners, particularly in the IT and R&D sectors. In contrast to the theoretically and algorithmically well-established and developed trade-off and multimode methods applied in traditional project management methods, flexible project scheduling methods, which are applied in agile, hybrid, and especially extreme project management, lack a principled foundation and algorithmic handling. The aim of this paper is to fill this gap. We propose a matrix-based method that provides scores for alternative project plans that host flexible task dependencies and undecided, supplementary task completion while also handling the new but unplanned tasks. In addition, traditional multimode resource-constrained project scheduling problems are also covered. The proposed method can bridge the flexible and traditional approaches.
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ISSN:0925-5001
1573-2916
DOI:10.1007/s10898-019-00832-8