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contributor authorMirza B. Murtaza
contributor authorDeborah J. Fisher
contributor authorMiroslaw J. Skibniewski
date accessioned2017-05-08T21:51:11Z
date available2017-05-08T21:51:11Z
date copyrightMarch 1993
date issued1993
identifier other%28asce%290733-9364%281993%29119%3A1%28115%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/64286
description abstractThe present paper focuses on the decision‐making methodology involved in deciding whether or not to use modular construction techniques in building a petrochemical or power plant. The paper identifies those factors that help construction owners and engineers involved in conceptual project design in their modularization decisions and proposes a formal framework for decision‐making support. A computerized knowledge‐based system assisting in this task is presented and discussed. The system performs feasibility analysis based upon various factors classified into five influencing factor categories—plant location; labor‐related; environmental and organizational; project characteristics; and project risks. The system also performs an economic analysis to determine the impact of modularization on cost and schedule. The performance of the system is validated comparing its recommendations with those of the experts in the construction industry. A statistical hypothesis test, conducted on the recommendations of the system and those of the experts, proves the system's credibility.
publisherAmerican Society of Civil Engineers
titleKnowledge‐Based Approach to Modular Construction Decision Support
typeJournal Paper
journal volume119
journal issue1
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/(ASCE)0733-9364(1993)119:1(115)
treeJournal of Construction Engineering and Management:;1993:;Volume ( 119 ):;issue: 001
contenttypeFulltext


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