@inproceedings{19df598a0ad9477280693dfe7ba339d3,
title = "Predicting the production rates of foundation construction using factor and regression analysis",
abstract = "Foundations are often part of the critical path for bridge construction. However, foundation constructions are highly variable due to the fact that construction process faces difficult problems like poor soil conditions, congested traffic and unpredictable weather. Designers are often unable to obtain reliable production rates in order to improve the accuracy of project time estimation that often leads to more delays and disputes. Field construction data related to this research were collected from twenty-five Texas highway projects within a two-year period to develop three models that could predict production rates of drilled shafts and prestressed concrete piles more accurately. Analyses showed that these models are estimate production rates accurately and relatively simple to apply and develop.",
keywords = "Foundation construction, Production rates estimation, Productivity factors, Regression analysis",
author = "Chong, {Wai Kiong} and O'Connor, {James T.} and Chou, {Jui Sheng} and Lee, {Sang Hoon}",
year = "2005",
language = "English (US)",
isbn = "0784407541",
series = "Construction Research Congress 2005: Broadening Perspectives - Proceedings of the Congress",
pages = "567--576",
editor = "I.D. Tommelein",
booktitle = "Construction Research Congress 2005",
note = "Construction Research Congress 2005: Broadening Perspectives - Proceedings of the Congress ; Conference date: 05-04-2005 Through 07-04-2005",
}