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A Critical Assessment of the Support Offered by Current Construction Models for Managing Workflow in the Field

TitleA Critical Assessment of the Support Offered by Current Construction Models for Managing Workflow in the Field
Publication TypeTechnical Report
Year of Publication2017
AuthorsGarcia-Lopez, N, Fischer, M
IssueTR223
Date Published08/2017
PublisherCenter for Integrated Facility Engineering
Place PublishedStanford, CA
Publication Languageeng
KeywordsCenter for Integrated Facility Engineering, CIFE, construction model, Project Management, workflow, workflow variability
URLhttps://purl.stanford.edu/rx089yn5765
PDF Link

https://stacks.stanford.edu/file/druid:rx089yn5765/TR223.pdf

Citation Key1373
Full Text

Construction workflow is composed of activities and the flows necessary to execute them. Workflow variability refers to the departure from the plan in the execution of the activities and flows. Construction researchers have linked workflow variability with poor project performance and activity delays. However, there is still a need to understand the requirements for managing workflow variability in the field, and for assessing the extent to which existing construction models and methods support field managers to manage workflow variability. This paper analyzes the ability of existing construction models to represent and track workflow in the field. We found that existing models lack support for representing and tracking construction flows, and therefore cannot quantify flow variability. Moreover, our analysis of a project control data-set with over 30,000 activity entries revealed that the variables collected are poorly correlated with activity variability. Hence, current project control data cannot be leveraged to help field managers understand and manage workflow variability. To counter this limitation, we propose a theoretically based construction model that represents the construction activities and flows. We expect that the proposed construction model will enable the collection of activity and flow variability data that will help field managers to understand and manage workflow variability in the field.