Research on Buffer Calculation Model of Critical Chain Based on Adjacency Information Entropy
In project network planning, the correlation complexity of the processes is not only related to the immediately preceding and following processes, but also closely related to indirect adjacent processes. In the existing relevant studies, many scholars have considered the influence of direct adjacent...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/13/4/942 |
| _version_ | 1827745613780877312 |
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| author | Xiangtian Nie Min Li Jilan Lu Bo Wang |
| author_facet | Xiangtian Nie Min Li Jilan Lu Bo Wang |
| author_sort | Xiangtian Nie |
| collection | DOAJ |
| description | In project network planning, the correlation complexity of the processes is not only related to the immediately preceding and following processes, but also closely related to indirect adjacent processes. In the existing relevant studies, many scholars have considered the influence of direct adjacent processes but ignored the influence of indirect adjacent processes. In addition, the three-point time estimation method and Monte Carlo simulation are mostly used in the current research for the estimation of process duration, while less research exists on the estimation of process optimal duration under multi-objective constraints. Therefore, this paper proposes a buffer calculation model of critical chain based on adjacency information entropy. This methodology provides comprehensive consideration of the relationship between cost, quality, safety, environment and process duration, the influence of process’s resource demand intensity, resource constraints and process duration on the buffer size, the influence of the relay potential of mutual cooperation and cross construction between processes, as well as the influence of adjacent complexity of processes on the project construction schedule. The calculation example analysis shows that this method can improve the accuracy of the calculation of process safety time, reduce the influence of the complexity of process adjacency correlation on the project construction schedule, reasonably control the buffer size, and effectively shorten the planned project duration. |
| first_indexed | 2024-03-11T05:11:00Z |
| format | Article |
| id | doaj.art-570cdabb14234a20acfce4f740bdf184 |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-11T05:11:00Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-570cdabb14234a20acfce4f740bdf1842023-11-17T18:35:17ZengMDPI AGBuildings2075-53092023-04-0113494210.3390/buildings13040942Research on Buffer Calculation Model of Critical Chain Based on Adjacency Information EntropyXiangtian Nie0Min Li1Jilan Lu2Bo Wang3School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaIn project network planning, the correlation complexity of the processes is not only related to the immediately preceding and following processes, but also closely related to indirect adjacent processes. In the existing relevant studies, many scholars have considered the influence of direct adjacent processes but ignored the influence of indirect adjacent processes. In addition, the three-point time estimation method and Monte Carlo simulation are mostly used in the current research for the estimation of process duration, while less research exists on the estimation of process optimal duration under multi-objective constraints. Therefore, this paper proposes a buffer calculation model of critical chain based on adjacency information entropy. This methodology provides comprehensive consideration of the relationship between cost, quality, safety, environment and process duration, the influence of process’s resource demand intensity, resource constraints and process duration on the buffer size, the influence of the relay potential of mutual cooperation and cross construction between processes, as well as the influence of adjacent complexity of processes on the project construction schedule. The calculation example analysis shows that this method can improve the accuracy of the calculation of process safety time, reduce the influence of the complexity of process adjacency correlation on the project construction schedule, reasonably control the buffer size, and effectively shorten the planned project duration.https://www.mdpi.com/2075-5309/13/4/942critical chain bufferadjacency information entropymulti-objective constraintsmulti-resource constraintsrelay potential |
| spellingShingle | Xiangtian Nie Min Li Jilan Lu Bo Wang Research on Buffer Calculation Model of Critical Chain Based on Adjacency Information Entropy Buildings critical chain buffer adjacency information entropy multi-objective constraints multi-resource constraints relay potential |
| title | Research on Buffer Calculation Model of Critical Chain Based on Adjacency Information Entropy |
| title_full | Research on Buffer Calculation Model of Critical Chain Based on Adjacency Information Entropy |
| title_fullStr | Research on Buffer Calculation Model of Critical Chain Based on Adjacency Information Entropy |
| title_full_unstemmed | Research on Buffer Calculation Model of Critical Chain Based on Adjacency Information Entropy |
| title_short | Research on Buffer Calculation Model of Critical Chain Based on Adjacency Information Entropy |
| title_sort | research on buffer calculation model of critical chain based on adjacency information entropy |
| topic | critical chain buffer adjacency information entropy multi-objective constraints multi-resource constraints relay potential |
| url | https://www.mdpi.com/2075-5309/13/4/942 |
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