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Improving the Scoring System with the Choosing by Advantages (CBA) elements to evaluate Construction-Flows using BIM and Lean Construction = Mejora del sistema Scoring con los elementos de selección por ventajas (CBA) para evaluar los flujos de construcc

Author(s):

Medium: journal article
Language(s): English, Spanish
Published in: Advances in Building Education / Innovación Educativa en la Edificación, , n. 2, v. 3
Page(s): 9
DOI: 10.20868/abe.2019.2.3987
Abstract:

The multicriteria decision-making (MCDM) methods are used as Lean tools, specially, the Choosing by Advantages (CBA) method. CBA has been successfully applied to several construction management projects and it has proven many benefits over the traditional MCDM methods, among them, Scoring method, which is widely used in public and private projects. The main purposes are to improve the Scoring system with the CBA elements and to describe a teaching strategy applied in the School of Civil and Building Engineering. The present study proposes three methods to evaluate the best construction-flow option using 4D models and Lean Construction, based on the adaptation of the CBA system to the Scoring system. It offers a case study in which we select the best construction-flow option during structural work among four clusters of sectorization designs for a residential building. We compare and discuss how it is best to combine the Scoring and CBA approaches, which complement each other. The CBA and modified Scoring systems obtained very similar results. The methods were validated with the similar rankings, the improved collaboration, the survey responses from stakeholders and the transparency of the decision-making process. We recommend the inclusion of CBA elements in the overall framework, to create greater transparency and to reduce the time to reach consensus. The study suggests that MCDM methods combined with 4D models are useful means of achieving better comprehension of the construction flow and thus choosing the best construction alternatives.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.20868/abe.2019.2.3987.
  • About this
    data sheet
  • Reference-ID
    10411512
  • Published on:
    12/02/2020
  • Last updated on:
    24/07/2020
 
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