Enhancing Performance in Engineering-To-Order Projects: Integrating Digital Value Stream Mapping and Green Lean Practices.

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Title: Enhancing Performance in Engineering-To-Order Projects: Integrating Digital Value Stream Mapping and Green Lean Practices.
Authors: Larsson, Daria1 (AUTHOR) daria.larsson@uis.no, Ratnayake, R.M. Chandima1 (AUTHOR), Samarakoon, Samindi M.K1 (AUTHOR)
Source: Engineering Management Journal. 2026, Vol. 38 Issue 2, p137-154. 18p.
Subjects: Value stream mapping, Waste minimization, Lean management, Sustainability, Action research, Process optimization, Field research
Abstract: The implementation of digital Value Stream Mapping (VSM) can enhance the efficiency of business processes (BPs) in engineering knowledge work by identifying and eliminating waste, with a positive impact on sustainability. The study utilizes a combination of action research and case study methodology. It begins with an extensive literature review, followed by a case study conducted within an engineering-to-order (ETO) electrical company, where insights are gathered through interviews. The techniques used include a literature review on VSM applications across different industries, a case study implementation of VSM in an ETO company, and interviews with 10 employees to identify process inefficiencies and improvement opportunities. The study reveals that digital VSM effectively identifies waste and non-value-adding (NVA) activities in engineering knowledge work, offering actionable insights for improving process efficiency and sustainability. This contributes to both academic understanding and practical applications in industrial settings. [ABSTRACT FROM AUTHOR]
Copyright of Engineering Management Journal is the property of Taylor & Francis Ltd 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.)
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  Data: Enhancing Performance in Engineering-To-Order Projects: Integrating Digital Value Stream Mapping and Green Lean Practices.
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  Data: <searchLink fieldCode="JN" term="%22Engineering+Management+Journal%22">Engineering Management Journal</searchLink>. 2026, Vol. 38 Issue 2, p137-154. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Value+stream+mapping%22">Value stream mapping</searchLink><br /><searchLink fieldCode="DE" term="%22Waste+minimization%22">Waste minimization</searchLink><br /><searchLink fieldCode="DE" term="%22Lean+management%22">Lean management</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainability%22">Sustainability</searchLink><br /><searchLink fieldCode="DE" term="%22Action+research%22">Action research</searchLink><br /><searchLink fieldCode="DE" term="%22Process+optimization%22">Process optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Field+research%22">Field research</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: The implementation of digital Value Stream Mapping (VSM) can enhance the efficiency of business processes (BPs) in engineering knowledge work by identifying and eliminating waste, with a positive impact on sustainability. The study utilizes a combination of action research and case study methodology. It begins with an extensive literature review, followed by a case study conducted within an engineering-to-order (ETO) electrical company, where insights are gathered through interviews. The techniques used include a literature review on VSM applications across different industries, a case study implementation of VSM in an ETO company, and interviews with 10 employees to identify process inefficiencies and improvement opportunities. The study reveals that digital VSM effectively identifies waste and non-value-adding (NVA) activities in engineering knowledge work, offering actionable insights for improving process efficiency and sustainability. This contributes to both academic understanding and practical applications in industrial settings. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Engineering Management Journal is the property of Taylor & Francis Ltd 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:
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    Identifiers:
      – Type: doi
        Value: 10.1080/10429247.2025.2464719
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      – Code: eng
        Text: English
    PhysicalDescription:
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        PageCount: 18
        StartPage: 137
    Subjects:
      – SubjectFull: Value stream mapping
        Type: general
      – SubjectFull: Waste minimization
        Type: general
      – SubjectFull: Lean management
        Type: general
      – SubjectFull: Sustainability
        Type: general
      – SubjectFull: Action research
        Type: general
      – SubjectFull: Process optimization
        Type: general
      – SubjectFull: Field research
        Type: general
    Titles:
      – TitleFull: Enhancing Performance in Engineering-To-Order Projects: Integrating Digital Value Stream Mapping and Green Lean Practices.
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            NameFull: Larsson, Daria
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            NameFull: Ratnayake, R.M. Chandima
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          Name:
            NameFull: Samarakoon, Samindi M.K
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            – D: 01
              M: 04
              Text: 2026
              Type: published
              Y: 2026
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            – TitleFull: Engineering Management Journal
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