An integrated survey of deterministic project scheduling

There have been many survey papers in the area of project scheduling in recent years. These papers have primarily emphasized modeling and algorithmic contributions for specific classes of project scheduling problems, such as net present value (NPV) maximization and makespan minimization, with and wi...

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Published in:Omega (Oxford) Vol. 29; no. 3; pp. 249 - 272
Main Authors: Kolisch, R, Padman, R
Format: Journal Article
Language:English
Published: Exeter Elsevier Ltd 01.06.2001
Elsevier
Pergamon Press Inc
Series:Omega
Subjects:
ISSN:0305-0483, 1873-5274
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Abstract There have been many survey papers in the area of project scheduling in recent years. These papers have primarily emphasized modeling and algorithmic contributions for specific classes of project scheduling problems, such as net present value (NPV) maximization and makespan minimization, with and without resource constraints. Paralleling these developments has been the research in the area of project scheduling decision support, with its emphasis on data sets, data generation methods, and so on, that are essential to benchmark, evaluate, and compare the new models, algorithms and heuristic techniques. These investigations have extended the frontiers of research and application in all areas of project scheduling and management. In this paper, we survey the vast literature in this area with a perspective that integrates models, data, and optimal and heuristic algorithms, for the major classes of project scheduling problems. We also include recent surveys that have compared commercial project scheduling systems. Finally, we present an overview of web-based decision support systems and discuss the potential of this technology in enabling and facilitating researchers and practitioners in identifying new areas of inquiry and application.
AbstractList There have been many survey papers in the area of project scheduling in recent years. These papers have primarily emphasized modeling and algorithmic contributions for specific classes of project scheduling problems, such as net present value (NPV) maximization and makespan minimization, with and without resource constraints. Paralleling these developments has been the research in the area of project scheduling decision support, with its emphasis on data sets, data generation methods, and so on, that are essential to benchmark, evaluate, and compare the new models, algorithms and heuristic techniques. These investigations have extended the frontiers of research and application in all areas of project scheduling and management. In this paper, we survey the vast literature in this area with a perspective that integrates models, data, and optimal and heuristic algorithms, for the major classes of project scheduling problems. We also include recent surveys that have compared commercial project scheduling systems. Finally, we present an overview of web-based decision support systems and discuss the potential of this technology in enabling and facilitating researchers and practitioners in identifying new areas of inquiry and application.
Author Kolisch, R
Padman, R
Author_xml – sequence: 1
  givenname: R
  surname: Kolisch
  fullname: Kolisch, R
  email: kolisch@bwl.tu-darmstadt.de
  organization: Institut für Betriebswirtschaftslehre, Technische Universität Darmstadt, Hochschulstr. 1, 64289 Darmstadt, Germany
– sequence: 2
  givenname: R
  surname: Padman
  fullname: Padman, R
  email: rpadman@cmu.edu
  organization: The H. John Heinz III School of Public Policy and Management, Carnegie Mellon University, Pittsburgh, PA 15213, USA
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Issue 3
Keywords Decision support systems
NPV maximization
Commercial project management systems
Deterministic project scheduling
Makespan minimization
Model-data-algorithm integration
Decision support system
Project management
Heuristic method
Scheduling
Makespan
Net present value
Deterministic approach
Bibliography
Marketing
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Snippet There have been many survey papers in the area of project scheduling in recent years. These papers have primarily emphasized modeling and algorithmic...
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StartPage 249
SubjectTerms Algorithms
Applied sciences
Commercial project management systems
Decision support systems
Deterministic project scheduling
Deterministic project scheduling NPV maximization Makespan minimization Model-data-algorithm integration Decision support systems Commercial project management systems
Exact sciences and technology
Heuristic
Makespan minimization
Model-data-algorithm integration
NPV maximization
Operational research and scientific management
Operational research. Management science
Project management
Scheduling
Scheduling, sequencing
Studies
Title An integrated survey of deterministic project scheduling
URI https://dx.doi.org/10.1016/S0305-0483(00)00046-3
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Volume 29
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