Study on the optimization of duration for repetitive projects considering spatial interference effects in operations
In the field of project duration optimization, a substantial amount of research has already been conducted. Although these studies have made significant contributions to project management, they remain somewhat theoretical. Few researchers have addressed the issue of workspace interference among wor...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-04-01
|
| Series: | Journal of Asian Architecture and Building Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/13467581.2025.2489539 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850137855938002944 |
|---|---|
| author | Chunli Zhang Fan Zhang Shuwen Yin Yan Fu Jun Liu Peng Duan |
| author_facet | Chunli Zhang Fan Zhang Shuwen Yin Yan Fu Jun Liu Peng Duan |
| author_sort | Chunli Zhang |
| collection | DOAJ |
| description | In the field of project duration optimization, a substantial amount of research has already been conducted. Although these studies have made significant contributions to project management, they remain somewhat theoretical. Few researchers have addressed the issue of workspace interference among workers, which is common in construction processes, as a point of entry for optimizing duration. Therefore, we believe that there is room for further improvement in this area of research. This paper focuses on repetitive construction projects, considering the effects of workspace interference during actual construction. Through agent-based modeling, we simulate the construction environment to determine the relationship between crew size and unit duration changes. The findings reveal that agent-based models demonstrate high reliability in simulating worker efficiency. Furthermore, we propose a model for solving optimal duration based on simulation results, using a genetic algorithm, and analyze the calculation results, speed, and complexity of the genetic algorithm with a heuristic approach. The results indicate that the genetic algorithm has advantages in handling duration optimization problems with slightly more than 10 tasks. |
| format | Article |
| id | doaj-art-7d4d66c1d3a64eb0bdb0a2a018c20f60 |
| institution | OA Journals |
| issn | 1347-2852 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Asian Architecture and Building Engineering |
| spelling | doaj-art-7d4d66c1d3a64eb0bdb0a2a018c20f602025-08-20T02:30:43ZengTaylor & Francis GroupJournal of Asian Architecture and Building Engineering1347-28522025-04-010012610.1080/13467581.2025.24895392489539Study on the optimization of duration for repetitive projects considering spatial interference effects in operationsChunli Zhang0Fan Zhang1Shuwen Yin2Yan Fu3Jun Liu4Peng Duan5Chongqing Jianzhu CollegeChongqing UniversityBureau of Public Works of Shenzhen MunicipalityChongqing UniversityChina Construction Second Engineering Bureau LtdChongqing Jianzhu CollegeIn the field of project duration optimization, a substantial amount of research has already been conducted. Although these studies have made significant contributions to project management, they remain somewhat theoretical. Few researchers have addressed the issue of workspace interference among workers, which is common in construction processes, as a point of entry for optimizing duration. Therefore, we believe that there is room for further improvement in this area of research. This paper focuses on repetitive construction projects, considering the effects of workspace interference during actual construction. Through agent-based modeling, we simulate the construction environment to determine the relationship between crew size and unit duration changes. The findings reveal that agent-based models demonstrate high reliability in simulating worker efficiency. Furthermore, we propose a model for solving optimal duration based on simulation results, using a genetic algorithm, and analyze the calculation results, speed, and complexity of the genetic algorithm with a heuristic approach. The results indicate that the genetic algorithm has advantages in handling duration optimization problems with slightly more than 10 tasks.http://dx.doi.org/10.1080/13467581.2025.2489539project duration optimizationspatial interference effectsagent-based modelingrepetitive construction projectsgenetic algorithm |
| spellingShingle | Chunli Zhang Fan Zhang Shuwen Yin Yan Fu Jun Liu Peng Duan Study on the optimization of duration for repetitive projects considering spatial interference effects in operations Journal of Asian Architecture and Building Engineering project duration optimization spatial interference effects agent-based modeling repetitive construction projects genetic algorithm |
| title | Study on the optimization of duration for repetitive projects considering spatial interference effects in operations |
| title_full | Study on the optimization of duration for repetitive projects considering spatial interference effects in operations |
| title_fullStr | Study on the optimization of duration for repetitive projects considering spatial interference effects in operations |
| title_full_unstemmed | Study on the optimization of duration for repetitive projects considering spatial interference effects in operations |
| title_short | Study on the optimization of duration for repetitive projects considering spatial interference effects in operations |
| title_sort | study on the optimization of duration for repetitive projects considering spatial interference effects in operations |
| topic | project duration optimization spatial interference effects agent-based modeling repetitive construction projects genetic algorithm |
| url | http://dx.doi.org/10.1080/13467581.2025.2489539 |
| work_keys_str_mv | AT chunlizhang studyontheoptimizationofdurationforrepetitiveprojectsconsideringspatialinterferenceeffectsinoperations AT fanzhang studyontheoptimizationofdurationforrepetitiveprojectsconsideringspatialinterferenceeffectsinoperations AT shuwenyin studyontheoptimizationofdurationforrepetitiveprojectsconsideringspatialinterferenceeffectsinoperations AT yanfu studyontheoptimizationofdurationforrepetitiveprojectsconsideringspatialinterferenceeffectsinoperations AT junliu studyontheoptimizationofdurationforrepetitiveprojectsconsideringspatialinterferenceeffectsinoperations AT pengduan studyontheoptimizationofdurationforrepetitiveprojectsconsideringspatialinterferenceeffectsinoperations |