Digital Value Engineering for Sustainable Commercial Buildings: A BIM and Life Cycle Cost-Based Decision-Making Framework.

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Title: Digital Value Engineering for Sustainable Commercial Buildings: A BIM and Life Cycle Cost-Based Decision-Making Framework.
Authors: Khan, Abdul Mateen1,2, Alaloul, Wesam Salah3 wesam.alaloul@uaeu.ac.ae, Musarat, Muhammad Ali4, Soeung, Socheatra5
Source: Journal of Engineering & Technological Sciences. Jun2026, Vol. 58 Issue 3, p417-441. 25p.
Subjects: Building information modeling, Life cycle costing, Cost benefit analysis, Cost control, Ecological impact, Value engineering, Industry 4.0, Sustainable buildings
Abstract: Sustainable commercial buildings require cost-effective and environmentally responsible design solutions. Traditional Value Engineering (VE) methods, while effective in cost reduction, often lack integration with digital tools, limiting their ability to optimize sustainability and performance. This study develops a Digital Value Engineering Model (DVEM) that aligns with Industry 4.0 principles, incorporating Building Information Modeling (BIM), Life Cycle Cost (LCC) analysis, and a weighted evaluation matrix to enhance decision-making transparency, cost efficiency, and environmental impact assessment. The model was implemented in Autodesk Revit and applied to a real-life commercial building project in Malaysia, systematically following six VE phases. The results demonstrate a 28% cost reduction while optimizing material selection, energy efficiency, and lifecycle performance. Unlike conventional VE, DVEM enables automated cost analysis, real-time sustainability assessment, and function-based decision modeling. By bridging traditional VE with modern digital workflows, this study provides a replicable, data-driven approach to optimizing commercial building design. The findings contribute to the construction industry by introducing a structured, scalable framework that enhances decision-making efficiency, resource utilization, and sustainability compliance in commercial building projects. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Engineering & Technological Sciences is the property of Institut Teknologi Bandung 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: Engineering Source
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DbLabel: Engineering Source
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  Data: <searchLink fieldCode="DE" term="%22Building+information+modeling%22">Building information modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Life+cycle+costing%22">Life cycle costing</searchLink><br /><searchLink fieldCode="DE" term="%22Cost+benefit+analysis%22">Cost benefit analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Cost+control%22">Cost control</searchLink><br /><searchLink fieldCode="DE" term="%22Ecological+impact%22">Ecological impact</searchLink><br /><searchLink fieldCode="DE" term="%22Value+engineering%22">Value engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Industry+4%2E0%22">Industry 4.0</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainable+buildings%22">Sustainable buildings</searchLink>
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  Data: Sustainable commercial buildings require cost-effective and environmentally responsible design solutions. Traditional Value Engineering (VE) methods, while effective in cost reduction, often lack integration with digital tools, limiting their ability to optimize sustainability and performance. This study develops a Digital Value Engineering Model (DVEM) that aligns with Industry 4.0 principles, incorporating Building Information Modeling (BIM), Life Cycle Cost (LCC) analysis, and a weighted evaluation matrix to enhance decision-making transparency, cost efficiency, and environmental impact assessment. The model was implemented in Autodesk Revit and applied to a real-life commercial building project in Malaysia, systematically following six VE phases. The results demonstrate a 28% cost reduction while optimizing material selection, energy efficiency, and lifecycle performance. Unlike conventional VE, DVEM enables automated cost analysis, real-time sustainability assessment, and function-based decision modeling. By bridging traditional VE with modern digital workflows, this study provides a replicable, data-driven approach to optimizing commercial building design. The findings contribute to the construction industry by introducing a structured, scalable framework that enhances decision-making efficiency, resource utilization, and sustainability compliance in commercial building projects. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Engineering & Technological Sciences is the property of Institut Teknologi Bandung 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.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
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      – Type: doi
        Value: 10.5614/j.eng.technol.sci.2026.58.3.8
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 25
        StartPage: 417
    Subjects:
      – SubjectFull: Building information modeling
        Type: general
      – SubjectFull: Life cycle costing
        Type: general
      – SubjectFull: Cost benefit analysis
        Type: general
      – SubjectFull: Cost control
        Type: general
      – SubjectFull: Ecological impact
        Type: general
      – SubjectFull: Value engineering
        Type: general
      – SubjectFull: Industry 4.0
        Type: general
      – SubjectFull: Sustainable buildings
        Type: general
    Titles:
      – TitleFull: Digital Value Engineering for Sustainable Commercial Buildings: A BIM and Life Cycle Cost-Based Decision-Making Framework.
        Type: main
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          Name:
            NameFull: Khan, Abdul Mateen
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            NameFull: Alaloul, Wesam Salah
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            NameFull: Musarat, Muhammad Ali
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            NameFull: Soeung, Socheatra
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          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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