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Business, international

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Project scheduling under uncertainty: survey and research potentials

Article Abstract:

A review on basic methods for project scheduling under uncertainty conditions is presented. Potential uses of various methods are also discussed. The various methods analyzed are, reactive scheduling (revises schedule based on unexpected event), stochastic scheduling (schedules activities with uncertain durations), fuzzy scheduling (uses fuzzy numbers for modeling activities), proactive scheduling (mostly machine schedules), and sensitivity analysis.

Author: Herroelen, Willy, Leus, Roel
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2005
Science & research, Belgium, Research, Robust statistics, Robustness (Statistics), Uncertainty

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The construction of stable project baseline schedules

Article Abstract:

Majority of project scheduling efforts assume complete information about the scheduling problem to be solved and a static deterministic environment within which the pre-computed baseline schedule would be executed. However, in reality, project activities are subject to considerable uncertainty, which generally leads to numerous schedule disruptions.

Author: Herroelen, Willy, Leus, Roel
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2004

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Solving influence diagrams with fuzzy chance and value nodes

Article Abstract:

Fuzzy algorithms, which are used to examine decision making problems in construction industry, are presented.

Author: Rodriguez-Muniz, Luis J., Gil, Maria Angeles
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2005
Spain, Multiple criteria decision making, Usage, Fuzzy algorithms, Fuzzy logic, Fuzzy systems

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Subjects list: Methods, Management, Industrial project management, Project management, Scheduling (Management), Company business management, Analysis, Construction industry
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