UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 11
November-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRK006130


Registration ID:
188128

Page Number

861-866

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Title

A Critical Literature Review of BIM Cloud Score: Building Information Model and Modeling Performance Benchmarking

Abstract

The quick acquisition of building information modeling (BIM) in the architecture, engineering, construction, and operations (AECO) industry in recent years has effected in large distinctions in the level of BIM application and adoption among organizations. AECO stakeholders, including designers, owners, and general contractors, don’t have a benchmark method for them to perceive their own execution and know how to renovate themselves. A cloud-based BIM performance benchmarking application, BIM Cloud Score (BIMCS), has been offered to collect BIM execution (performance) data from BIM users over the nation in order to permit them to match their BIM performance with the effects gathered from their industry peers. This research aims to improve and authenticate a preliminary list of metrics that are appropriate for the proposed BIM benchmarking application. A survey was operated in the AECO industry and involved BIM architects (authors) and contractors (users) to authenticate the offered preliminary list of metrics. The replies from the survey were utilized for initializing the metric weights for the benchmarking method. In addition, an investigation of the differences in opinion between different groups of respondents indicated that out of 26 variables used, the perceived significance of 6 variables was statistically various between BIM authors and BIM users. This outcome shows that the surveyed architects and contractors were in contract with the significance level for most of the variables offered including model economy, model usefulness, and model productivity. Future adjustments of the metric weights might be required in the application based on the different intended purposes for the BIM models.

Key Words

Building information modeling (BIM), Modeling cloud score, Performance evaluation, Benchmarking, Productivity Information technologies

Cite This Article

"A Critical Literature Review of BIM Cloud Score: Building Information Model and Modeling Performance Benchmarking", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.861-866, November-2018, Available :http://www.jetir.org/papers/JETIRK006130.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Critical Literature Review of BIM Cloud Score: Building Information Model and Modeling Performance Benchmarking", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp861-866, November-2018, Available at : http://www.jetir.org/papers/JETIRK006130.pdf

Publication Details

Published Paper ID: JETIRK006130
Registration ID: 188128
Published In: Volume 5 | Issue 11 | Year November-2018
DOI (Digital Object Identifier):
Page No: 861-866
Country: Vallabh Vidyanagar, Anand, Gujarat, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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