DocumentCode
2397799
Title
Extending the Resource-Constrained Project Scheduling Problem for Disruption Management
Author
Kuster, Jürgen ; Jannach, Dietmar
Author_Institution
Dept. of Bus. Informatics & Application Syst., Klagenfurt Univ.
fYear
2006
fDate
Sept. 2006
Firstpage
95
Lastpage
102
Abstract
This paper describes how the resource-constrained project scheduling problem (RCPSP) can be used as a basis for comprehensive disruption management, concerned with both rescheduling as well as potential structural process modifications. It is illustrated, how the RCPSP can be extended by the possibility to represent alternative activities and how the respective constructs can be used to describe various forms of typical interventions. Moreover, an approach for schedule optimization and the resolution of the generalized problem is presented, based on the combination of well-established methodologies and specific evolutionary operators. In an illustrative example it is finally shown how the proposed framework can be applied for the development of real-time decision support systems in the domain of airport ground process management
Keywords
constraint theory; evolutionary computation; mathematical operators; project management; resource allocation; scheduling; airport ground process management; decision support systems; disruption management; evolutionary operator; resource-constrained project scheduling problem; schedule optimization; structural process modification; Airports; Conference management; Decision support systems; Evolutionary computation; Informatics; Optimal scheduling; Optimization methods; Project management; Real time systems; Resource management; Disruption Management; Evolutionary Algorithm; Real-Time Decision Support; Resource-Constrained Project Scheduling Problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, 2006 3rd International IEEE Conference on
Conference_Location
London
Print_ISBN
1-4244-01996-8
Electronic_ISBN
1-4244-01996-8
Type
conf
DOI
10.1109/IS.2006.348400
Filename
4155407
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