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BIM-based search and selection of construction material suppliers: a dedicated framework and prototype

Usman Aftab (Department of Construction Engineering and Management (CE&M), School of Civil and Environmental Engineering (SCEE), National University of Sciences and Technology (NUST), Islamabad, Pakistan)
Muhammad Usman Hassan (Department of Construction Engineering and Management (CE&M), School of Civil and Environmental Engineering (SCEE), National University of Sciences and Technology (NUST), Islamabad, Pakistan)
Fahim Ullah (School of Surveying and Built Environment, University of Southern Queensland – Springfield Campus, Springfield, Australia)
Abdur Rehman Nasir (School of Physics, Engineering and Computer Science, Centre for Engineering Research, University of Hertfordshire, Hertfordshire, UK)
Muhammad Jamaluddin Thaheem (School of Architecture and Built Environment, Deakin University – Geelong Waterfront Campus, Geelong, Australia)

Construction Innovation

ISSN: 1471-4175

Article publication date: 13 November 2024

96

Abstract

Purpose

This study aims to address the key issues concerning supplier selection in traditional construction procurement by proposing an innovative, novel, state-of-the-art prototype plugin building information modelling – supplier search and ranking (BIM-SSR) and an associated conceptual framework. It enhances building information modelling (BIM) capabilities through web crawling and analytical hierarchy processes (AHP). It uses the World Wide Web to procure construction material suppliers.

Design/methodology/approach

Prevalent issues in traditional procurement of material suppliers have been identified through a rigorous literature review. Field experts vetted these issues. A framework has been presented to address these issues based on integrated web crawling and AHP as a multi-criteria decision-making (MCDM) method. A BIM prototype (BIM-SSR) has been developed using Python and plugged into Autodesk Revit to automate the search and evaluation of material suppliers based on precise material specifications from the BIM design. The BIM-SSR prototype is tested through a case study and validated by field professionals for its efficiency in tackling the identified issues.

Findings

Thirteen key issues have been identified concerning traditional construction procurement pertinent to supplier selection. Best-value procurement was encouraged by identifying supplier selection criteria such as cost, delivery time, experience, compliance with quality management standards, warranties, and claim period. The presented BIM-SSR prototype has an efficiency of 80%–95% in addressing the issues identified in this study and 97.5% effectiveness in improving the overall procurement management process.

Originality/value

The BIM-SSR prototype developed in this study is a novel and innovative addition to the body of knowledge that has been integrated into Autodesk Revit as a Plugin. Automation of supplier search and selection through digital technologies, including web crawling and integration of traditionally accepted MCDM methods such as AHP in BIM, is another innovation in the current study. Overall, this study presents a holistic, innovative system, from conceptual design to practical implementation and demonstration. This is one of the steps to help the traditional construction procurement process evolve into a more modern and digital procurement.

Keywords

Acknowledgements

This research was supported by the Higher Education Commission (HEC) of Pakistan under the National Research Program for Universities (NRPU), Grant No. 16225, titled “Development of a Digital Construction Information Management System - A BIM-Based Approach”.

Citation

Aftab, U., Hassan, M.U., Ullah, F., Nasir, A.R. and Thaheem, M.J. (2024), "BIM-based search and selection of construction material suppliers: a dedicated framework and prototype", Construction Innovation, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/CI-06-2023-0136

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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