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contributor authorJan Reinhardt
contributor authorBurcu Akinci
contributor authorJames H. Garrett, Jr.
date accessioned2017-05-08T21:13:06Z
date available2017-05-08T21:13:06Z
date copyrightOctober 2004
date issued2004
identifier other%28asce%290887-3801%282004%2918%3A4%28281%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/43184
description abstractIntegrated product and process models have started gaining acceptance in the construction industry and it is conceivable that in the near future project data will be contained in these models. A project model can contain large data sets making it harder for users to navigate. This challenge is even more difficult in cases where mobile computing is used on site for accessing and collecting data needed for a construction management task. Navigational models are constructs that provide construction personnel, who are using mobile computing applications on construction sites, with information and data collection support relevant to their tasks and environments. Navigational models provide a flexible and dynamic way of grouping and structuring entities of product and process models such that those entities that need to be related for one task are linked directly to minimize the navigation through a given model. Moreover, navigational models provide a way to structure the data contained in product and process models in hierarchies facilitating interaction with entities at multiple levels of detail. In this paper, we describe construction site-based project management tasks and demonstrate how navigational models can facilitate efficient data access and data collection processes by customizing the presented information for a given task and environment of a user.
publisherAmerican Society of Civil Engineers
titleNavigational Models for Computer Supported Project Management Tasks on Construction Sites
typeJournal Paper
journal volume18
journal issue4
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/(ASCE)0887-3801(2004)18:4(281)
treeJournal of Computing in Civil Engineering:;2004:;Volume ( 018 ):;issue: 004
contenttypeFulltext


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