Modeling resource management in the building design process by information constraint Petri nets

Cheng, Feifei, Li, Heng, Wang, Y.-W., Skitmore, Martin, & Forsythe, Perry (2013) Modeling resource management in the building design process by information constraint Petri nets. Automation in Construction, 29, pp. 92-99.

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The effect of resource management on the building design process directly influences the development cycle time and success of construction projects. This paper presents the information constraint net (ICN) to represent the complex information constraint relations among design activities involved in the building design process. An algorithm is developed to transform the information constraints throughout the ICN into a Petri net model. A resource management model is developed using the ICN to simulate and optimize resource allocation in the design process. An example is provided to justify the proposed model through a simulation analysis of the CPN Tools platform in the detailed structural design. The result demonstrates that the proposed approach can obtain the resource management and optimization needed for shortening the development cycle and optimal allocation of resources.

Impact and interest:

11 citations in Scopus
8 citations in Web of Science®
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198 since deposited on 29 Oct 2012
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ID Code: 54374
Item Type: Journal Article
Refereed: Yes
Keywords: Resource Management, Building Design, Information Constraint Net, Petri Nets, Simulation
DOI: 10.1016/j.autcon.2012.08.005
ISSN: 0926-5805
Subjects: Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 Elsevier B.V.
Copyright Statement: NOTICE: this is the author’s version of a work that was accepted for publication in Automation in Construction
. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Automation in Construction [Volume 29, (January 2013)]. DOI: 10.1016/j.autcon.2012.08.005
Deposited On: 29 Oct 2012 22:22
Last Modified: 22 Jun 2017 14:45

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