优化并行工作的人员数量及其工作顺序,以最大限度地减少重复施工项目的项目持续时间和成本

IF 2.3 Q2 ENGINEERING, CIVIL Innovative Infrastructure Solutions Pub Date : 2023-10-11 DOI:10.1007/s41062-023-01233-3
Emad Abdelbasset, Abbas Hassan, Nabil H. Amer, Yasser A. Khalifa
{"title":"优化并行工作的人员数量及其工作顺序,以最大限度地减少重复施工项目的项目持续时间和成本","authors":"Emad Abdelbasset, Abbas Hassan, Nabil H. Amer, Yasser A. Khalifa","doi":"10.1007/s41062-023-01233-3","DOIUrl":null,"url":null,"abstract":"Abstract Scheduling repetitive construction projects poses a significant challenge in optimally utilizing multiple concurrent crews and sequencing their work to minimize project duration and cost. To address this challenge, this study presents the development of a multi-objective scheduling optimization model for repetitive construction projects consisting of three modules. First, a scheduling module ensures the harmonious coordination of multiple concurrent crews for each activity while considering varying productivity rates, work continuity constraints, and project precedence relationships. Second, a cost module incorporates various contractual cost components to enable a thorough evaluation of project costs and provides flexibility to contractors encountering different contract terms. Third, an optimization module utilizes a genetic algorithm to identify optimal combinations of crews working in parallel and their optimal work sequence, to simultaneously minimize project duration and cost. An application example from the literature was analyzed to validate the model and demonstrate its superiority over previous models. The results showed significant reductions of 8% and 0.78% in project duration and overall costs, respectively, compared to previous models. Furthermore, the capabilities of the model were demonstrated through a real-life case study involving a highway development and renovation project, highlighting its practical benefits and effectiveness in a real-world construction scenario.","PeriodicalId":13525,"journal":{"name":"Innovative Infrastructure Solutions","volume":"122 1","pages":"0"},"PeriodicalIF":2.3000,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimizing the number of crews working in parallel and their work sequence to minimize project duration and cost for repetitive construction projects\",\"authors\":\"Emad Abdelbasset, Abbas Hassan, Nabil H. Amer, Yasser A. Khalifa\",\"doi\":\"10.1007/s41062-023-01233-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Scheduling repetitive construction projects poses a significant challenge in optimally utilizing multiple concurrent crews and sequencing their work to minimize project duration and cost. To address this challenge, this study presents the development of a multi-objective scheduling optimization model for repetitive construction projects consisting of three modules. First, a scheduling module ensures the harmonious coordination of multiple concurrent crews for each activity while considering varying productivity rates, work continuity constraints, and project precedence relationships. Second, a cost module incorporates various contractual cost components to enable a thorough evaluation of project costs and provides flexibility to contractors encountering different contract terms. Third, an optimization module utilizes a genetic algorithm to identify optimal combinations of crews working in parallel and their optimal work sequence, to simultaneously minimize project duration and cost. An application example from the literature was analyzed to validate the model and demonstrate its superiority over previous models. The results showed significant reductions of 8% and 0.78% in project duration and overall costs, respectively, compared to previous models. Furthermore, the capabilities of the model were demonstrated through a real-life case study involving a highway development and renovation project, highlighting its practical benefits and effectiveness in a real-world construction scenario.\",\"PeriodicalId\":13525,\"journal\":{\"name\":\"Innovative Infrastructure Solutions\",\"volume\":\"122 1\",\"pages\":\"0\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2023-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Innovative Infrastructure Solutions\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s41062-023-01233-3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovative Infrastructure Solutions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s41062-023-01233-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0

摘要

摘要对重复施工项目的调度提出了一个重大挑战,即如何最优地利用多个同时工作的人员,并对他们的工作进行排序,以最大限度地减少项目工期和成本。为了解决这一挑战,本研究提出了一个由三个模块组成的重复建设项目多目标调度优化模型。首先,调度模块在考虑不同的生产率、工作连续性约束和项目优先级关系的同时,确保每个活动的多个并发团队的和谐协调。其次,成本模块包含各种合同成本组成部分,以便对项目成本进行全面评估,并为遇到不同合同条款的承包商提供灵活性。第三,优化模块利用遗传算法确定并行工作人员的最佳组合及其最佳工作顺序,同时最大限度地减少项目工期和成本。通过文献中的应用实例分析,验证了该模型的有效性,证明了该模型相对于以往模型的优越性。结果显示,与之前的模型相比,项目持续时间和总成本分别显著减少了8%和0.78%。此外,该模型的功能通过涉及公路开发和改造项目的现实案例研究进行了验证,突出了其在现实世界建设场景中的实际效益和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Optimizing the number of crews working in parallel and their work sequence to minimize project duration and cost for repetitive construction projects
Abstract Scheduling repetitive construction projects poses a significant challenge in optimally utilizing multiple concurrent crews and sequencing their work to minimize project duration and cost. To address this challenge, this study presents the development of a multi-objective scheduling optimization model for repetitive construction projects consisting of three modules. First, a scheduling module ensures the harmonious coordination of multiple concurrent crews for each activity while considering varying productivity rates, work continuity constraints, and project precedence relationships. Second, a cost module incorporates various contractual cost components to enable a thorough evaluation of project costs and provides flexibility to contractors encountering different contract terms. Third, an optimization module utilizes a genetic algorithm to identify optimal combinations of crews working in parallel and their optimal work sequence, to simultaneously minimize project duration and cost. An application example from the literature was analyzed to validate the model and demonstrate its superiority over previous models. The results showed significant reductions of 8% and 0.78% in project duration and overall costs, respectively, compared to previous models. Furthermore, the capabilities of the model were demonstrated through a real-life case study involving a highway development and renovation project, highlighting its practical benefits and effectiveness in a real-world construction scenario.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.80
自引率
16.70%
发文量
250
期刊最新文献
Comparative study on safety effects of differential speed limit and uniform speed limit on highways using microsimulation Crash severity analysis for mixed lane urban road considering shoulder distress condition using SEM and MARS model: a case study in Patna, India Optimizing the mix design of roller-compacted concrete pavement (RCCP) to improve the compressive and flexural strengths Rutting behavior estimation of polyethylene terephthalate bituminous layers under static and dynamic load at different temperature ranges Correction: Enhancing corrosion resistance in reinforced concrete structures by using innovative eco-friendly composite pigments
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1