Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/105766
Title: An agent-based simulation system for multi-project scheduling under uncertainty
Authors: Song, Wen
Xi, Hui
Kang, Donghun
Zhang, Jie
Keywords: Agent-based Modeling
Interactive Simulation Platform
DRNTU::Engineering::Computer science and engineering
Issue Date: 2018
Source: Song, W., Xi, H., Kang, D., & Zhang, J. (2018). An agent-based simulation system for multi-project scheduling under uncertainty. Simulation Modelling Practice and Theory, 86, 187-203. doi:10.1016/j.simpat.2018.05.009
Series/Report no.: Simulation Modelling Practice and Theory
Abstract: This work proposes an agent-based simulation system to address challenges in resource constrained multi-project scheduling under uncertainty. The system aims at helping users develop robust schedules by taking care of intra- and inter-dependencies between projects, conflicting demands for limited resources, and the potential knock-on effect of unpredictable events. With the interactive graphical user interface embedded in the system, users are enabled to investigate project process, evaluate modified schedule, forecast impact resulted from unexpected disruptions, and conduct various what-if analysis. Reactive and proactive scheduling algorithms have been developed in the simulation system to resolve unforeseen disruptions and increase the robustness of the solutions. Experiments on a real-world case study of a technology-intensive industrial product development program have been conducted to evaluate the effectiveness of the proposed algorithms.
URI: https://hdl.handle.net/10356/105766
http://hdl.handle.net/10220/48788
ISSN: 1569-190X
DOI: 10.1016/j.simpat.2018.05.009
Rights: © 2018 Elsevier B.V. All rights reserved. This paper was published in Simulation Modelling Practice and Theory and is made available with permission of Elsevier B.V.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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