The University of Southampton
University of Southampton Institutional Repository

A lean approach to capacity management in construction

A lean approach to capacity management in construction
A lean approach to capacity management in construction

Lean construction has not been universally adopted in the UK construction industry and has had little application in heavy construction although there has been a greater uptake in the housing sector.

The research has identified a number of factors, both at construction site and corporate level, which have prevented the adoption of lean principles. Firstly, the segregation of buying and construction management departments means that buyers consider only the bottom line cost of materials rather than the complete cost to a project. This results in buyers ordering materials in the maximum possible quantities to attract the largest bulk discounts without considering the associated costs. Secondly, construction site staffs have a deep-rooted fear of running out of materials and hence prefer to hold large stocks of material on site. Thirdly, high variability in output occurs in construction and where adoption of lean has been attempted, schedules have not been met and there has been an increase in defective work. Finally, the concepts of, cycle time and work scheduling are not properly understood at site level. The research initially produced a scheduling calculation model based on four methods taken from operational research: least cost; North West corner; Vogel’s approximation and longest required time. The model was trialled on a construction site on the University campus. The results showed that when activities were dominated by machines the model performed well but when activities were dominated by people the variability in output made the schedules predicted by the model unworkable.

University of Southampton
Al-Sasi, Basil Omar
ae4ab747-48a6-4734-8098-4f79b17450f8
Al-Sasi, Basil Omar
ae4ab747-48a6-4734-8098-4f79b17450f8

Al-Sasi, Basil Omar (2007) A lean approach to capacity management in construction. University of Southampton, Doctoral Thesis.

Record type: Thesis (Doctoral)

Abstract

Lean construction has not been universally adopted in the UK construction industry and has had little application in heavy construction although there has been a greater uptake in the housing sector.

The research has identified a number of factors, both at construction site and corporate level, which have prevented the adoption of lean principles. Firstly, the segregation of buying and construction management departments means that buyers consider only the bottom line cost of materials rather than the complete cost to a project. This results in buyers ordering materials in the maximum possible quantities to attract the largest bulk discounts without considering the associated costs. Secondly, construction site staffs have a deep-rooted fear of running out of materials and hence prefer to hold large stocks of material on site. Thirdly, high variability in output occurs in construction and where adoption of lean has been attempted, schedules have not been met and there has been an increase in defective work. Finally, the concepts of, cycle time and work scheduling are not properly understood at site level. The research initially produced a scheduling calculation model based on four methods taken from operational research: least cost; North West corner; Vogel’s approximation and longest required time. The model was trialled on a construction site on the University campus. The results showed that when activities were dominated by machines the model performed well but when activities were dominated by people the variability in output made the schedules predicted by the model unworkable.

Text
1124981.pdf - Version of Record
Available under License University of Southampton Thesis Licence.
Download (7MB)

More information

Published date: 2007

Identifiers

Local EPrints ID: 466362
URI: http://eprints.soton.ac.uk/id/eprint/466362
PURE UUID: 1368552e-2067-4fe4-95ea-2c3a66536430

Catalogue record

Date deposited: 05 Jul 2022 05:12
Last modified: 16 Mar 2024 20:39

Export record

Contributors

Author: Basil Omar Al-Sasi

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×