TY - GEN
T1 - Measurement of Construction Productivity
T2 - Construction Research Congress 2024, CRC 2024
AU - Rathnayake, Asitha
AU - Murguia, Danny
AU - Middleton, Campbell
N1 - Publisher Copyright:
© ASCE.
PY - 2024
Y1 - 2024
N2 - Productivity indicates how efficiently resources are utilized to deliver outputs. Studies show that the UK's construction productivity lags behind similar European countries and the USA. This paper aims to uncover the underlying reasons by examining the industry's approach to measuring productivity. Our findings stem from semi-structured interviews with 29 industry practitioners and the observations of productivity measurement technologies on three projects. Production rate (output per unit of time) emerges as the most common productivity metric in projects, assessed on a daily, weekly, and monthly basis for decision-making. We also identified several issues in this area. Firstly, the industry tends to prioritize activity outputs over their interdependencies, influenced by earned value management thinking. Secondly, labor productivity (output per worker-hour) is not measured often due to reduced incentives and contractors passing productivity risks onto subcontractors. Lastly, inconsistencies in metrics and data collection limitations hinder the development of company-wide performance measurement frameworks.
AB - Productivity indicates how efficiently resources are utilized to deliver outputs. Studies show that the UK's construction productivity lags behind similar European countries and the USA. This paper aims to uncover the underlying reasons by examining the industry's approach to measuring productivity. Our findings stem from semi-structured interviews with 29 industry practitioners and the observations of productivity measurement technologies on three projects. Production rate (output per unit of time) emerges as the most common productivity metric in projects, assessed on a daily, weekly, and monthly basis for decision-making. We also identified several issues in this area. Firstly, the industry tends to prioritize activity outputs over their interdependencies, influenced by earned value management thinking. Secondly, labor productivity (output per worker-hour) is not measured often due to reduced incentives and contractors passing productivity risks onto subcontractors. Lastly, inconsistencies in metrics and data collection limitations hinder the development of company-wide performance measurement frameworks.
UR - https://www.scopus.com/pages/publications/85188809493
U2 - 10.1061/9780784485286.045
DO - 10.1061/9780784485286.045
M3 - Conference contribution
AN - SCOPUS:85188809493
T3 - Construction Research Congress 2024, CRC 2024
SP - 445
EP - 454
BT - Contracting, Delivery, Scheduling, Estimating, Economics, and Organizational Management and Planning in Construction
A2 - Shane, Jennifer S.
A2 - Madson, Katherine M.
A2 - Mo, Yunjeong
A2 - Poleacovschi, Cristina
A2 - Sturgill, Roy E.
PB - American Society of Civil Engineers (ASCE)
Y2 - 20 March 2024 through 23 March 2024
ER -