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Methodology to Generate Strategic Manufacturing Indicators to Support Decision-Making – Case Study of a Food Company.

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Title: Methodology to Generate Strategic Manufacturing Indicators to Support Decision-Making – Case Study of a Food Company.
Authors: Aballay-Fredes, Claudio1,2 (AUTHOR) guillermo.fuertes@usach.cl, Quezada, Luis1 (AUTHOR), Marchant-Silva, Mario1,2 (AUTHOR), Fuertes, Guillermo3 (AUTHOR), Vargas, Manuel1 (AUTHOR)
Source: Engineering Management Journal. 2026, Vol. 38 Issue 1, p3-15. 13p.
Subjects: Key performance indicators (Management), Multiple criteria decision making, Decision making, Research methodology, Automation, Utility functions, Food industry
Abstract: This study proposes a methodology that selects key performance indicators and measures their influence on the strategic manufacturing objectives of a food company. The proposed hybrid methodology used the focus model centered on a value function to select criteria and classify key performance indicators and the multi-criteria model DEMATEL to identify the level of influence of key performance indicators on strategic manufacturing objectives. This new method constructs a value function with input from all production line members. This allows the degree of direct and indirect influence of selected key performance indicators to be measured to achieve the organization's strategic objectives. Finally, seven key performance indicators were selected, the most influential being the level of automation, performance, set-up times, and resource use. [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.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 191629540
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PubType: Academic Journal
PubTypeId: academicJournal
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  Label: Title
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  Data: Methodology to Generate Strategic Manufacturing Indicators to Support Decision-Making – Case Study of a Food Company.
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  Data: <searchLink fieldCode="JN" term="%22Engineering+Management+Journal%22">Engineering Management Journal</searchLink>. 2026, Vol. 38 Issue 1, p3-15. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Key+performance+indicators+%28Management%29%22">Key performance indicators (Management)</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+criteria+decision+making%22">Multiple criteria decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink><br /><searchLink fieldCode="DE" term="%22Utility+functions%22">Utility functions</searchLink><br /><searchLink fieldCode="DE" term="%22Food+industry%22">Food industry</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: This study proposes a methodology that selects key performance indicators and measures their influence on the strategic manufacturing objectives of a food company. The proposed hybrid methodology used the focus model centered on a value function to select criteria and classify key performance indicators and the multi-criteria model DEMATEL to identify the level of influence of key performance indicators on strategic manufacturing objectives. This new method constructs a value function with input from all production line members. This allows the degree of direct and indirect influence of selected key performance indicators to be measured to achieve the organization's strategic objectives. Finally, seven key performance indicators were selected, the most influential being the level of automation, performance, set-up times, and resource use. [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:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10429247.2024.2412418
    Languages:
      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 3
    Subjects:
      – SubjectFull: Key performance indicators (Management)
        Type: general
      – SubjectFull: Multiple criteria decision making
        Type: general
      – SubjectFull: Decision making
        Type: general
      – SubjectFull: Research methodology
        Type: general
      – SubjectFull: Automation
        Type: general
      – SubjectFull: Utility functions
        Type: general
      – SubjectFull: Food industry
        Type: general
    Titles:
      – TitleFull: Methodology to Generate Strategic Manufacturing Indicators to Support Decision-Making – Case Study of a Food Company.
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            NameFull: Aballay-Fredes, Claudio
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            NameFull: Quezada, Luis
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            NameFull: Marchant-Silva, Mario
      – PersonEntity:
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            NameFull: Fuertes, Guillermo
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            NameFull: Vargas, Manuel
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              Text: 2026
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