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Expecting the unexpected: representing, reasoning about, and assessing construction project contingencies
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Source Winter Simulation Conference archive
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come table of contents
Washington D.C.
SESSION: Construction engineering and project management: integrated information management table of contents
Pages 2041-2050  
Year of Publication: 2007
ISBN:1-4244-1306-0
Authors
G. Ryan Anderson  Michigan Technological University, Houghton. MI
Nilufer Onder  Michigan Technological University, Houghton. MI
Amlan Mukherjee  Michigan Technological University, Houghton. MI
Sponsors
INFORMS-SIM : Institute for Operations Research and the Management Sciences: Simulation Society
NIST : National Institute of Standards and Technology
(SCS) : The Society for Modeling and Simulation International
ACM/SIGSIM : Association for Computing Machinery: Special Interest Group on Simulation
IIE : Institute of Industrial Engineers
ASA : American Statistical Association
IEEE/SMC : Institute of Electrical and Electronics Engineers: Systems, Man, and Cybernetics Society
Publisher
IEEE Press  Piscataway, NJ, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 30,   Citation Count: 1
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ABSTRACT

Planning, scheduling and effective management of contingencies are crucial for the successful management of construction projects. In this paper we explore a mathematical representation of construction processes that can be used to infer alternative futures of a project as it unfolds. The representation has its foundations in temporal constraint networks. We present algorithms that can traverse the network in time, reason about the constraints driving a construction project, and present the combinatorial possibilities of futures that can emerge from one or more constraint violations during project implementation. The algorithms will aid construction managers to anticipate and react to crisis scenarios as they evolve in time. Our broader goal is to use the contingency information and the user responses to reveal the cognitive strategies used by humans to manage complex crisis scenarios.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
G. Ryan Anderson: colleagues
Nilufer Onder: colleagues
Amlan Mukherjee: colleagues