Abstract

Identifying the criteria affecting multifamily housing and comparing different construction systems using these criteria to determine the optimal construction method based on a powerful decision-making technique can considerably help optimize multifamily housing, create more incentives for private contractors, and achieve ultimate success in multifamily housing projects. In this paper, 15 effective criteria for industrialized multifamily housing were identified through interviews and questionnaires. The alternatives of multifamily housing were then detected, and a model that could determine the best building method considering the criteria was developed through the analytic network process (ANP) technique. The reason for using the ANP technique was to organize the decision-making process in terms of a scenario affected by multiple independent factors. Contractors, consultants, owners, and those who are concerned with the issues related to industrial building will be the beneficiaries of this study.

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Go to Journal of Architectural Engineering
Journal of Architectural Engineering
Volume 23Issue 2June 2017

History

Received: Feb 16, 2016
Accepted: Oct 6, 2016
Published online: Dec 6, 2016
Discussion open until: May 6, 2017
Published in print: Jun 1, 2017

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Ph.D. Candidate, Dept. of Project and Construction Management, School of Architecture, Univ. of Tehran, Tehran 1415564583, Iran (corresponding author). ORCID: https://orcid.org/0000-0001-5547-1158. E-mail: [email protected]
Abdollah Hosseini [email protected]
Associate Professor, Dept. of Construction Engineering and Management, School of Civil Engineering, Univ. of Tehran, Tehran 111554563, Iran. E-mail: [email protected]
Kobra Gharouni Jafari [email protected]
Project Financial Manager, Bachelor of Finance and Accounting, Dept. of Management, Univ. of Tehran, Tehran 1446833955, Iran. E-mail: [email protected]
MohammadHossein Aghaeipoor [email protected]
Master Student, Dept. of Construction Engineering and Management, School of Civil and Environmental Engineering, Oklahoma State Univ., 207 Engineering South, Stillwater, OK 74078. E-mail: [email protected]

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