Open AccessBenchmarking site-plant resource matching performance of ready-mixed concrete delivery and placing
Author(s) -
Ming-Fung Francis Siu,
Anson Kwun Wang Wong,
M. Anson
Publication year - 2022
Publication title -
transactions
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.175
H-Index - 15
eISSN - 2326-3733
pISSN - 1023-697X
DOI - 10.33430/v29n1thie-2021-0021
Subject(s) - benchmarking , benchmark (surveying) , resource (disambiguation) , scheduling (production processes) , matching (statistics) , process (computing) , engineering , operations management , business , computer science , operations research , process management , geography , computer network , geodesy , marketing , statistics , mathematics , operating system
Since on-time concrete delivery is important to both contractors and suppliers, performance benchmarking of the concrete delivery process, as actually achieved in practice, is a worthwhile undertaking of potential benefit to the construction industry. However, there has been no thorough such benchmarking in Hong Kong for 20 years, since the study by Anson et al. (2002). This research study has provided an up-to-date benchmark of the site/supplier resource matching, or coordination, performance for big building superstructure pours, based on study of the records of 77 pours placed on five buildings under construction in Hong Kong. This research study also aimed to assess whether there was any evidence to suggest that site/ plant coordination performance has improved since 2000, not least due to the adoption of advanced technologies, which nowadays monitor the locations of truckmixers in real time throughout the day. Of great importance to the industry, however, and the most significant finding arising from this study, is that there is no support for the proposition that site/supplier resource coordination has improved over that 20-year interval. Truckmixer position tracking systems need to be capitalised upon with the introduction of data analysis simulation software and optimising scheduling applied in real time.