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Construction 4.0 Application: Industry 4.0, Internet of Things and Lean Construction Tools’ Application in Quality Management System of Residential Building Projects

Author(s): ORCID
ORCID


ORCID
Medium: journal article
Language(s): English
Published in: Buildings, , n. 10, v. 12
Page(s): 1557
DOI: 10.3390/buildings12101557
Abstract:

The advent of Construction 4.0 has played a major role in construction industry development through the improvement of quality performance. One of the parameters that have contributed immensely to the management of construction quality in the industrial revolution era is Industry 4.0, the Internet of Things (IoT), and Lean thinking concepts. Lean construction is characterized by a set of clear objectives in project delivery involving the concurrent design of products and processes. The study aims to carry out an exploratory study of the application of Construction 4.0 and Industrial 4.0 in quality management of building works and the development of Lean-based quality management models: The study engaged a survey design approach, and a random sampling technique was used to select the study samples. A structured questionnaire designed on a Likert scale 1–5 was used to collate data on the quality aspect of a construction project, and the data were used in model creation. The parameters that emerged are cast as the quality management model. The resultant factors were categorized into three (3) quality categories, which are the Zero level Defect range, Medium Quality, and High-Level Quality Range. The three (3) quality factors were recommended for adoption for quality management of residential building projects.

Copyright: © 2022 by the authors; licensee MDPI, Basel, Switzerland.
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10700255
  • Published on:
    11/12/2022
  • Last updated on:
    15/02/2023
 
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