A Quali-Quantitative Analysis Model Integrating Fuzzy Analytical Hierarchy Process and Cost–Benefit Analysis for Optimizing KPI Implementation: Insights from a Practical Case Study Application

In today’s competitive industrial landscape, effective performance measurement is crucial for achieving operational success. Key Performance Indicators (KPIs) are widely used to track progress, but their implementation often lacks a comprehensive framework that considers both financial outcomes and...

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Main Authors: Italo Cesidio Fantozzi, Livio Colleluori, Massimiliano Maria Schiraldi
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Eng
Subjects:
Online Access:https://www.mdpi.com/2673-4117/6/3/56
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author Italo Cesidio Fantozzi
Livio Colleluori
Massimiliano Maria Schiraldi
author_facet Italo Cesidio Fantozzi
Livio Colleluori
Massimiliano Maria Schiraldi
author_sort Italo Cesidio Fantozzi
collection DOAJ
description In today’s competitive industrial landscape, effective performance measurement is crucial for achieving operational success. Key Performance Indicators (KPIs) are widely used to track progress, but their implementation often lacks a comprehensive framework that considers both financial outcomes and managerial insights. A quali-quantitative analysis model is introduced to optimize the implementation of KPIs in industrial settings, demonstrated through a case study of a Cambodian charcoal factory. By integrating Cost–Benefit Analysis (CBA) and Fuzzy Analytic Hierarchy Process (FAHP), the model combines both quantitative financial analysis and qualitative managerial evaluations to assess and rank a selected set of KPIs. This dual approach ensures a more comprehensive understanding of KPI impacts, enabling informed decision-making. The results highlight the critical need for balancing measurable financial benefits with qualitative insights, particularly in industries within developing nations that are forced to compromise in constrained environments, and where both economic outcomes and strategic considerations are essential for sustainable growth. Furthermore, the proposed model has universal applicability across different industrial contexts, providing a flexible and adaptable framework for KPI selection beyond the specific case study analyzed.
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spelling doaj-art-dcce33754e5443a292873c6d6e670ab92025-08-20T03:43:37ZengMDPI AGEng2673-41172025-03-01635610.3390/eng6030056A Quali-Quantitative Analysis Model Integrating Fuzzy Analytical Hierarchy Process and Cost–Benefit Analysis for Optimizing KPI Implementation: Insights from a Practical Case Study ApplicationItalo Cesidio Fantozzi0Livio Colleluori1Massimiliano Maria Schiraldi2Department of Enterprise Engineering, Università degli Studi di Roma Tor Vergata, 00133 Roma, ItalyDepartment of Enterprise Engineering, Università degli Studi di Roma Tor Vergata, 00133 Roma, ItalyDepartment of Enterprise Engineering, Università degli Studi di Roma Tor Vergata, 00133 Roma, ItalyIn today’s competitive industrial landscape, effective performance measurement is crucial for achieving operational success. Key Performance Indicators (KPIs) are widely used to track progress, but their implementation often lacks a comprehensive framework that considers both financial outcomes and managerial insights. A quali-quantitative analysis model is introduced to optimize the implementation of KPIs in industrial settings, demonstrated through a case study of a Cambodian charcoal factory. By integrating Cost–Benefit Analysis (CBA) and Fuzzy Analytic Hierarchy Process (FAHP), the model combines both quantitative financial analysis and qualitative managerial evaluations to assess and rank a selected set of KPIs. This dual approach ensures a more comprehensive understanding of KPI impacts, enabling informed decision-making. The results highlight the critical need for balancing measurable financial benefits with qualitative insights, particularly in industries within developing nations that are forced to compromise in constrained environments, and where both economic outcomes and strategic considerations are essential for sustainable growth. Furthermore, the proposed model has universal applicability across different industrial contexts, providing a flexible and adaptable framework for KPI selection beyond the specific case study analyzed.https://www.mdpi.com/2673-4117/6/3/56KPIcost–benefit analysisfuzzy analytic hierarchy processqualitative and quantitative analysisKPI implementation
spellingShingle Italo Cesidio Fantozzi
Livio Colleluori
Massimiliano Maria Schiraldi
A Quali-Quantitative Analysis Model Integrating Fuzzy Analytical Hierarchy Process and Cost–Benefit Analysis for Optimizing KPI Implementation: Insights from a Practical Case Study Application
Eng
KPI
cost–benefit analysis
fuzzy analytic hierarchy process
qualitative and quantitative analysis
KPI implementation
title A Quali-Quantitative Analysis Model Integrating Fuzzy Analytical Hierarchy Process and Cost–Benefit Analysis for Optimizing KPI Implementation: Insights from a Practical Case Study Application
title_full A Quali-Quantitative Analysis Model Integrating Fuzzy Analytical Hierarchy Process and Cost–Benefit Analysis for Optimizing KPI Implementation: Insights from a Practical Case Study Application
title_fullStr A Quali-Quantitative Analysis Model Integrating Fuzzy Analytical Hierarchy Process and Cost–Benefit Analysis for Optimizing KPI Implementation: Insights from a Practical Case Study Application
title_full_unstemmed A Quali-Quantitative Analysis Model Integrating Fuzzy Analytical Hierarchy Process and Cost–Benefit Analysis for Optimizing KPI Implementation: Insights from a Practical Case Study Application
title_short A Quali-Quantitative Analysis Model Integrating Fuzzy Analytical Hierarchy Process and Cost–Benefit Analysis for Optimizing KPI Implementation: Insights from a Practical Case Study Application
title_sort quali quantitative analysis model integrating fuzzy analytical hierarchy process and cost benefit analysis for optimizing kpi implementation insights from a practical case study application
topic KPI
cost–benefit analysis
fuzzy analytic hierarchy process
qualitative and quantitative analysis
KPI implementation
url https://www.mdpi.com/2673-4117/6/3/56
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