Academic Journal

Impact of Using an Exchange Model (EM) to Support the Early Assessment Process of Industrialized Timber Projects.

Bibliographic Details
Title: Impact of Using an Exchange Model (EM) to Support the Early Assessment Process of Industrialized Timber Projects.
Authors: Rojas, Claudia, Mourgues, Claudio, Rosa, Pilar de la, Mesa, Harrison, Ruz, Francisco, Guindos, Pablo
Source: Buildings (2075-5309); Jun2025, Vol. 15 Issue 11, p1835, 18p
Subject Terms: Information sharing, Information processing, Structural design, Project evaluation, Industrialization, Standardization
Abstract: Standardized information on the processes and requirements for information exchanges is critical to ensure accurate cost estimations. However, traditional methods based on 2D information lack the standardization and information required for efficient and reliable early commercial evaluation. This study aims to evaluate the effectiveness and efficiency of the information exchange model (EM-01) proposed for the commercial evaluation of industrialized timber projects. This study adopted two illustrative cases of projects to make a comparative analysis between the traditional method that prefabrication companies use and the EM-01. The evaluation focused on effectiveness, efficiency, level of certainty, and the user's perception. The results indicate that both methods enable project evaluation. However, the EM-01 offers better efficiency by reducing work time, reduces uncertainty by minimizing assumptions, and improves the user's perception of the reliability of the commercial evaluation. The EM-01 provides more standardized information and specific structural design data supporting the early commercial evaluation. This study supports the idea that incorporating standardized information into the processes and requirements for information exchanges enhances the accuracy and reliability of early commercial evaluation in industrialized timber projects. [ABSTRACT FROM AUTHOR]
Copyright of Buildings (2075-5309) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index
Be the first to leave a comment!
You must be logged in first