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EXPORT DATE: 25 April 2024

@CONFERENCE{Filho2004,
author={Filho, Jose Nilton Oliveira and Solbeman, Lucio and Choo, James },
editor={Bertelsen, Sven and Formoso, Carlos T. },
title={Sequential Analysis of Reasons for Non-Completion of Activities: Case Study and Future Directions}, 
journal={12th Annual Conference of the International Group for Lean Construction}, 
booktitle={12th Annual Conference of the International Group for Lean Construction}, 
year={2004},
url={http://www.iglc.net/papers/details/334},
affiliation={Research Assistant, Civil and Envir. Engrg. Department, 3142 Newmark Civil Engrg. Lab., Univ. of Illinois at Urbana-Champaign, Urbana, IL 61801, Phone +1 217/333-2071, foliveir@uiuc.edu  ; Assistant Professor, Civil and Envir. Engrg. Department, 3129C Newmark Civil Engrg. Lab., Univ. of Illinois at Urbana-Champaign, Urbana, IL 61801, Phone +1 217/333-4759, FAX 217/265-8039, soibelma@uiuc.edu  ; Product Development Leader, Strategic Project Solutions, Inc. P.O. Box 2835, San Francisco, CA 94126- 2835, Phone+ 1 415/362-3200, Fax + 1 415/362-3210, jchoo@strategicprojectsolutions.net  },
abstract={Reliable work flow in production processes are of utmost importance to the successful completion of construction projects. Although a perfectly reliable work flow is unlikely to occur due to the inherent variability of production in construction, assignments should be measured and monitored, and causes for non-realization should be investigated in order to mitigate negative impacts of variability. Lean construction principles have been applied effectively in several projects and the identification of common problems demonstrated usefulness in the decrease of variability. However, the discovery of the main or primary causes of those problems and their impact on the whole project still continue to be a vague and obscure issue. The purpose of this paper is to first present a case study where a methodology to discover sequences of common non-conformances was studied and applied to a project database. Such sequences might be an indication of frequent patterns where one error category might have influenced subsequent ones. Then, the difficulties faced in this study and the relevance and importance of integrating project and external data sources for causal data analysis and knowledge discovery will be discussed.  },
author_keywords={Sequential analysis, pattern recognition, data mining, knowledge discovery. },
address={Helsingør, Denmark },
issn={ },
publisher={ },
language={English},
document_type={Conference Paper},
source={IGLC},
}