Productivity Metrics and Its Implementations in Construction Projects: A Case Study of Singapore

Although some studies have used or developed different types of metrics to assess construction productivity in the existing literature, few of them investigated those metrics systematically and the differences between assessment results. This study examined the various types of metrics used in the a...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Ming Shan, Yu-Shan Li, Bon-Gang Hwang, Jia-En Chua
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
Acceso en línea:https://doaj.org/article/d9640f9c26ad4b7fa15eaaa7838b4fca
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:d9640f9c26ad4b7fa15eaaa7838b4fca
record_format dspace
spelling oai:doaj.org-article:d9640f9c26ad4b7fa15eaaa7838b4fca2021-11-11T19:45:24ZProductivity Metrics and Its Implementations in Construction Projects: A Case Study of Singapore10.3390/su1321121322071-1050https://doaj.org/article/d9640f9c26ad4b7fa15eaaa7838b4fca2021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/12132https://doaj.org/toc/2071-1050Although some studies have used or developed different types of metrics to assess construction productivity in the existing literature, few of them investigated those metrics systematically and the differences between assessment results. This study examined the various types of metrics used in the assessment of the productivity of construction projects. First, a literature review was conducted first to identify prevailing productivity metrics at four levels, namely trade, project, company, and industry. Then, the questionnaire was developed and disseminated to 53 Singapore-based construction companies for data collection. Subsequently, non-parametric statistical tests were conducted to analyze the data collected by the questionnaire. Results showed that the top five metrics in terms of usage frequency and relative importance were “constructability score”, “buildable design score”, “square meter of built-up floor area per man-day”, “square meter per dollar”, and “output per worker.” In addition, results showed that differences existed in the assessment results when productivity metrics at different levels were used to conduct the same measurement. This is the first study to explore the most widely used metrics in productivity assessments of construction projects and investigate possible differences in assessment results. This study could help the authorities to review, evaluate, and modify the productivity metrics used in practice. Thus, this study is beneficial to the practice as well.Ming ShanYu-Shan LiBon-Gang HwangJia-En ChuaMDPI AGarticleproductivitymetricsconstruction projectsEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12132, p 12132 (2021)
institution DOAJ
collection DOAJ
language EN
topic productivity
metrics
construction projects
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
spellingShingle productivity
metrics
construction projects
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
Ming Shan
Yu-Shan Li
Bon-Gang Hwang
Jia-En Chua
Productivity Metrics and Its Implementations in Construction Projects: A Case Study of Singapore
description Although some studies have used or developed different types of metrics to assess construction productivity in the existing literature, few of them investigated those metrics systematically and the differences between assessment results. This study examined the various types of metrics used in the assessment of the productivity of construction projects. First, a literature review was conducted first to identify prevailing productivity metrics at four levels, namely trade, project, company, and industry. Then, the questionnaire was developed and disseminated to 53 Singapore-based construction companies for data collection. Subsequently, non-parametric statistical tests were conducted to analyze the data collected by the questionnaire. Results showed that the top five metrics in terms of usage frequency and relative importance were “constructability score”, “buildable design score”, “square meter of built-up floor area per man-day”, “square meter per dollar”, and “output per worker.” In addition, results showed that differences existed in the assessment results when productivity metrics at different levels were used to conduct the same measurement. This is the first study to explore the most widely used metrics in productivity assessments of construction projects and investigate possible differences in assessment results. This study could help the authorities to review, evaluate, and modify the productivity metrics used in practice. Thus, this study is beneficial to the practice as well.
format article
author Ming Shan
Yu-Shan Li
Bon-Gang Hwang
Jia-En Chua
author_facet Ming Shan
Yu-Shan Li
Bon-Gang Hwang
Jia-En Chua
author_sort Ming Shan
title Productivity Metrics and Its Implementations in Construction Projects: A Case Study of Singapore
title_short Productivity Metrics and Its Implementations in Construction Projects: A Case Study of Singapore
title_full Productivity Metrics and Its Implementations in Construction Projects: A Case Study of Singapore
title_fullStr Productivity Metrics and Its Implementations in Construction Projects: A Case Study of Singapore
title_full_unstemmed Productivity Metrics and Its Implementations in Construction Projects: A Case Study of Singapore
title_sort productivity metrics and its implementations in construction projects: a case study of singapore
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/d9640f9c26ad4b7fa15eaaa7838b4fca
work_keys_str_mv AT mingshan productivitymetricsanditsimplementationsinconstructionprojectsacasestudyofsingapore
AT yushanli productivitymetricsanditsimplementationsinconstructionprojectsacasestudyofsingapore
AT bonganghwang productivitymetricsanditsimplementationsinconstructionprojectsacasestudyofsingapore
AT jiaenchua productivitymetricsanditsimplementationsinconstructionprojectsacasestudyofsingapore
_version_ 1718431439507161088