arrow
返回

Measuring Activity-Level Construction Productivity

delete2024-08-01
delete0
PRE
AI
R
Rathnayake, Asitha *
D
Danny Murguía
DOI:10.1061/JCEMD4.COENG-14602delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Activity-level productivity measurement often overlooks losses due to poor construction flows-that is, the flows of workers, materials, and equipment. Using data from 138 locations and 33 crews, correlation and regression analyses were conducted on several flow metrics. The results showed that excess work-in-progress time, representing handoffs among crews, and work discontinuities, representing stoppages between locations, had the most significant association with productivity. These findings led to the development of a novel framework for measuring activity-level construction productivity. In this framework, productivity is decomposed into efficiency (measured through work sampling) and effectiveness (measured as increased output). We applied our framework to a building construction project featuring four structural work crews operating across multiple levels. The results indicate that productivity losses due to crew handoffs and work discontinuities decrease as work becomes more repetitive. Additionally, inefficiencies or idling occur when moving equipment is unavailable, whereas ineffectiveness occurs with high rework. Our framework enables the identification of various sources of productivity loss. It also helps understand that the direct work rate is just one component of overall productivity.
Keyword:
Productivity
Construction
Measurement
Flow
Lean

期刊

J
Journal of Construction Engineering and Management
IF:
5.1
论文数:
5.1K
被引数:
1.4W

机构

U
University of Cambridge
学者数:
7.7W
论文数: 7.1W
被引数: 13.7W
引用论文

引用论文

FLT3–ITD and its current role in acute myeloid leukaemia
err2017-05-03
err0
PREAI
errFrancisco Alejandro Lagunas-Rangel; Venice Chávez-Valencia
err分享
err收藏
Survey Comparing Critical Path Method, Last Planner System, and Location-Based Techniques
err2019-12-01
err40
PREAI
errOlivieri, Hylton; Seppanen, Olli; Alves, Thais da C. L.; Scala, Natalie M.; Schiavone, Vincent; Liu, Min; Granja, Ariovaldo Denis
err分享
err收藏
Automated Methods for Activity Recognition of Construction Workers and Equipment: State-of-the-Art Review
err2020-06-01
err135
PREAI
errSherafat, Behnam; Ahn, Changbum R.; Akhavian, Reza; Behzadan, Amir H.; Golparvar-Fard, Mani; Kim, Hyunsoo; Lee, Yong-Cheol; Rashidi, Abbas; Azar, Ehsan Rezazadeh
err分享
err收藏
学者 查看更多内容