MitC: Open-source software for construction project control and delay mitigation
Changes in a construction project schedule can impact the project’s planned duration, resulting in penalties. A manual trial-and-error probabilistic approach is usually conducted to find an appropriate set of corrective measures to mitigate delays of the overall project. However, this approach does...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-06-01
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| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711022000267 |
| _version_ | 1818531137984659456 |
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| author | Omar Kammouh M.W.A. (Maurits) Kok Maria Nogal Ruud Binnekamp A.R.M. (Rogier) Wolfert |
| author_facet | Omar Kammouh M.W.A. (Maurits) Kok Maria Nogal Ruud Binnekamp A.R.M. (Rogier) Wolfert |
| author_sort | Omar Kammouh |
| collection | DOAJ |
| description | Changes in a construction project schedule can impact the project’s planned duration, resulting in penalties. A manual trial-and-error probabilistic approach is usually conducted to find an appropriate set of corrective measures to mitigate delays of the overall project. However, this approach does not capture the actual goal-oriented behavior of project managers who react to the actual scenarios causing delays, leading to a fundamental modeling error. Moreover, it does not employ control and automation concepts when finding the optimal mitigation strategy. To remove this modeling error and to automate the mitigation process, the Mitigation Controller (MitC) software is developed. The MitC searches for the most cost-effective set of mitigation measures considering risk events and durations uncertainties of activities. Moreover, the MitC captures activity correlations and enables contractual penalty/reward schemes in the simulation. As a result, it returns the most effective mitigation strategy that minimizes the mitigation cost and penalty and maximizes the reward potential. The Mitigation Controller introduced here constitutes an open-source code written in Matlab© language and a Graphical User Interface (GUI) to facilitate its use. This application of control concepts has not yet been incorporated in the industrial tools (e.g., Primavera) or the scientific construction scheduling literature. |
| first_indexed | 2024-12-11T17:28:33Z |
| format | Article |
| id | doaj.art-c1c89db175364ba8aa899862eb36d76f |
| institution | Directory Open Access Journal |
| issn | 2352-7110 |
| language | English |
| last_indexed | 2024-12-11T17:28:33Z |
| publishDate | 2022-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj.art-c1c89db175364ba8aa899862eb36d76f2022-12-22T00:56:54ZengElsevierSoftwareX2352-71102022-06-0118101023MitC: Open-source software for construction project control and delay mitigationOmar Kammouh0M.W.A. (Maurits) Kok1Maria Nogal2Ruud Binnekamp3A.R.M. (Rogier) Wolfert4Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, Netherlands; Corresponding author.Faculty of Information and Communication Technology & Facility Management, Delft University of Technology, NetherlandsFaculty of Civil Engineering and Geosciences, Delft University of Technology, NetherlandsFaculty of Civil Engineering and Geosciences, Delft University of Technology, NetherlandsFaculty of Civil Engineering and Geosciences, Delft University of Technology, NetherlandsChanges in a construction project schedule can impact the project’s planned duration, resulting in penalties. A manual trial-and-error probabilistic approach is usually conducted to find an appropriate set of corrective measures to mitigate delays of the overall project. However, this approach does not capture the actual goal-oriented behavior of project managers who react to the actual scenarios causing delays, leading to a fundamental modeling error. Moreover, it does not employ control and automation concepts when finding the optimal mitigation strategy. To remove this modeling error and to automate the mitigation process, the Mitigation Controller (MitC) software is developed. The MitC searches for the most cost-effective set of mitigation measures considering risk events and durations uncertainties of activities. Moreover, the MitC captures activity correlations and enables contractual penalty/reward schemes in the simulation. As a result, it returns the most effective mitigation strategy that minimizes the mitigation cost and penalty and maximizes the reward potential. The Mitigation Controller introduced here constitutes an open-source code written in Matlab© language and a Graphical User Interface (GUI) to facilitate its use. This application of control concepts has not yet been incorporated in the industrial tools (e.g., Primavera) or the scientific construction scheduling literature.http://www.sciencedirect.com/science/article/pii/S2352711022000267RiskUncertaintyCorrective measureProject schedulingTime-cost optimizationMonte Carlo simulation |
| spellingShingle | Omar Kammouh M.W.A. (Maurits) Kok Maria Nogal Ruud Binnekamp A.R.M. (Rogier) Wolfert MitC: Open-source software for construction project control and delay mitigation SoftwareX Risk Uncertainty Corrective measure Project scheduling Time-cost optimization Monte Carlo simulation |
| title | MitC: Open-source software for construction project control and delay mitigation |
| title_full | MitC: Open-source software for construction project control and delay mitigation |
| title_fullStr | MitC: Open-source software for construction project control and delay mitigation |
| title_full_unstemmed | MitC: Open-source software for construction project control and delay mitigation |
| title_short | MitC: Open-source software for construction project control and delay mitigation |
| title_sort | mitc open source software for construction project control and delay mitigation |
| topic | Risk Uncertainty Corrective measure Project scheduling Time-cost optimization Monte Carlo simulation |
| url | http://www.sciencedirect.com/science/article/pii/S2352711022000267 |
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