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Fischer M A, Luiten G T B, Aalami F

Representing project information and construction method knowledge for computer- aided construction management

Abstract: Currently available construction management software has serious limitations that hinder further integration and automation of construction management tasks. The main limitation is the low level at which project information and knowledge is represented. This means that integration of design and construction planning information and automated reasoning about, for example, planning, are difficult to implement. In two research projects at the Center for Integrated Facility Engineering at Stanford University, we are addressing these limitations. In the SPACECAKE project we propose a higher level representation of project information that explicitly represents the relations between products, activities, construction methods and resources. A prototype system shows that it is possible to implement our conceptual model and support project management decisions. In the MOCA project we elaborate further on the representation of construction method knowledge. In this paper we propose a template to make the knowledge explicit and computer-interpretable.

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Series: w78:1995 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.synthesis (0.016915) class.bestPractise (0.009748) class.software development (0.008872)
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Permission to reproduce these papers has been graciously provided by the Stanford University, USA. The support of the editors, particularly Prof. Fischer is gratefully appreciated.


Fischer M, Aalami F

Model-B ased constructibility analysis: the moca system

Abstract: The recent years have seen the development of several knowledge-based scheduling systems that facilitate the integration of design information with the generation of construction schedules. They have demonstrated a remarkable progress over manual planning systems. For example, these systems are able to generate a set of activities from a project description and to reason about support and enclosure information to determine the sequencing of activities. In a research project sponsored by the Center of Integrated Facility Engineering (CIFE) at Stanford University, we extended the idea behind these planning and scheduling systems by adding detailed models of construction methods. Such knowledge is needed in model-based form to enhance the practicality of the schedules that are generated, and to overcome some of the limitations of heuristic systems. While the use of product models to represent design information has been well documented over the last few years, the formalization and implementation of detailed models of construction methods still represents a major challenge and opportunity. When interacting with a product model, such construction method models are able to generate construction schedules and cost estimates almost instantaneously. This will enable project participants to explore more alternatives to a greater level of detail in less time. This will lead to projects that are more constructible than some of today's projects. This in turn will lead to a reduced total delivery time and cost for constructed facilities. This paper describes the current status of the MOCA (Model-based Constructibility Analysis) system which uses formalized construction method models to automate the generation of schedules based on product models.

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Full text: content.pdf (1,222,940 bytes) (available to registered users only)

Series: w78:1994 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.man-software (0.012332) class.economic (0.009112) class.analysis (0.007609)
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Permission to reproduce these papers has been graciously provided by VTT, Espoo, Finland.


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