线性项目前端阶段施工时间基础估算方法

Ivana Burcar Dunović, Kristijan Robert Prebanić, Pavao Durrigl
{"title":"线性项目前端阶段施工时间基础估算方法","authors":"Ivana Burcar Dunović, Kristijan Robert Prebanić, Pavao Durrigl","doi":"10.2478/otmcj-2018-0026","DOIUrl":null,"url":null,"abstract":"Abstract Even though horizontally linear projects have low complexity schedules, they are still not successful in meeting planned time. The deadlines are mostly based on estimations done in front-end project development when limited data are available. Early time estimation models in literature rely on few variables and, almost in all cases, one of them is the estimated cost. Early cost estimations can significantly deviate from actual costs and thus lead to unreliable time estimation. Time estimation models based on neural network and other alternative methods require databases and software, which complicates the process of time estimation. The purpose of this paper is to bridge the gap of scarce time estimation models and unreliable time estimates by developing a new method for time estimation. This research has been done on one large sewer system project. The case study shows how to extract several continuous activities for a pipeline project chosen from a sewer system. Moreover, a new algorithm for the calculation of project duration is devised based on the existing equation related to the linear scheduling method, and this algorithm works with continuous activities. The new method for construction time estimation is based on the extraction of linear continuous activities, usage of the algorithm for identification of minimal buffer between activities, and calculation of the project duration. To verify the algorithm, this method is used on another pipeline project from a sewer system. The limitation is that this method can be used only for base estimation. Further research needs to be done to include uncertainties and risks in the method.","PeriodicalId":42309,"journal":{"name":"Organization Technology and Management in Construction","volume":"13 1","pages":"2312 - 2326"},"PeriodicalIF":1.6000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Method for Base Estimation of Construction Time for Linear Projects in Front-end Project Phases\",\"authors\":\"Ivana Burcar Dunović, Kristijan Robert Prebanić, Pavao Durrigl\",\"doi\":\"10.2478/otmcj-2018-0026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Even though horizontally linear projects have low complexity schedules, they are still not successful in meeting planned time. The deadlines are mostly based on estimations done in front-end project development when limited data are available. Early time estimation models in literature rely on few variables and, almost in all cases, one of them is the estimated cost. Early cost estimations can significantly deviate from actual costs and thus lead to unreliable time estimation. Time estimation models based on neural network and other alternative methods require databases and software, which complicates the process of time estimation. The purpose of this paper is to bridge the gap of scarce time estimation models and unreliable time estimates by developing a new method for time estimation. This research has been done on one large sewer system project. The case study shows how to extract several continuous activities for a pipeline project chosen from a sewer system. Moreover, a new algorithm for the calculation of project duration is devised based on the existing equation related to the linear scheduling method, and this algorithm works with continuous activities. The new method for construction time estimation is based on the extraction of linear continuous activities, usage of the algorithm for identification of minimal buffer between activities, and calculation of the project duration. To verify the algorithm, this method is used on another pipeline project from a sewer system. The limitation is that this method can be used only for base estimation. Further research needs to be done to include uncertainties and risks in the method.\",\"PeriodicalId\":42309,\"journal\":{\"name\":\"Organization Technology and Management in Construction\",\"volume\":\"13 1\",\"pages\":\"2312 - 2326\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Organization Technology and Management in Construction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/otmcj-2018-0026\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Organization Technology and Management in Construction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/otmcj-2018-0026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 2

摘要

尽管水平线性项目具有较低的复杂度进度,但它们仍然不能成功地满足计划时间。截止日期主要基于前端项目开发中可用数据有限时所做的估计。文献中早期的时间估计模型依赖于很少的变量,几乎在所有情况下,其中一个变量是估计成本。早期的成本估计可能与实际成本有很大的偏差,从而导致不可靠的时间估计。基于神经网络和其他替代方法的时间估计模型需要数据库和软件,这使得时间估计过程变得复杂。本文的目的是通过开发一种新的时间估计方法来弥补稀缺时间估计模型和不可靠时间估计模型之间的差距。这项研究是在一个大型下水道系统项目上进行的。案例研究展示了如何从下水道系统中选择管道项目提取几个连续的活动。在现有线性调度方法相关方程的基础上,设计了一种新的工程工期计算算法,该算法适用于连续作业。该方法基于提取线性连续工程,利用算法识别工程之间的最小缓冲,计算工程工期。为了验证该算法,将该方法应用于另一个下水道系统的管道工程。这种方法的局限性是只能用于基本估计。需要做进一步的研究,以纳入方法中的不确定性和风险。
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
Method for Base Estimation of Construction Time for Linear Projects in Front-end Project Phases
Abstract Even though horizontally linear projects have low complexity schedules, they are still not successful in meeting planned time. The deadlines are mostly based on estimations done in front-end project development when limited data are available. Early time estimation models in literature rely on few variables and, almost in all cases, one of them is the estimated cost. Early cost estimations can significantly deviate from actual costs and thus lead to unreliable time estimation. Time estimation models based on neural network and other alternative methods require databases and software, which complicates the process of time estimation. The purpose of this paper is to bridge the gap of scarce time estimation models and unreliable time estimates by developing a new method for time estimation. This research has been done on one large sewer system project. The case study shows how to extract several continuous activities for a pipeline project chosen from a sewer system. Moreover, a new algorithm for the calculation of project duration is devised based on the existing equation related to the linear scheduling method, and this algorithm works with continuous activities. The new method for construction time estimation is based on the extraction of linear continuous activities, usage of the algorithm for identification of minimal buffer between activities, and calculation of the project duration. To verify the algorithm, this method is used on another pipeline project from a sewer system. The limitation is that this method can be used only for base estimation. Further research needs to be done to include uncertainties and risks in the method.
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
3.10
自引率
0.00%
发文量
8
审稿时长
16 weeks
期刊最新文献
Project success and critical success factors of construction projects: project practitioners’ perspectives Exploring the social legitimacy of urban road PPPs in Nigeria Capability improvement measures of the public sector for implementation of building information modeling in construction projects Linking life cycle BIM data to a facility management system using Revit Dynamo Investigation of the poor-quality practices on building construction sites in Malaysia
×
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