Enhancing energy resilience in enterprises: a multi-criteria approach
Abstract Unreliable energy supply disrupts productivity and escalates costs in manufacturing enterprises, highlighting the need for robust energy resilience strategies. Existing multi-criteria decision-making (MCDM) methods, such as the analytic hierarchy process (AHP), best–worst method (BWM), and...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-01-01
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| Series: | Sustainable Energy Research |
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| Online Access: | https://doi.org/10.1186/s40807-025-00148-0 |
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| author | Pholoso Lebepe Tebello N. D. Mathaba |
| author_facet | Pholoso Lebepe Tebello N. D. Mathaba |
| author_sort | Pholoso Lebepe |
| collection | DOAJ |
| description | Abstract Unreliable energy supply disrupts productivity and escalates costs in manufacturing enterprises, highlighting the need for robust energy resilience strategies. Existing multi-criteria decision-making (MCDM) methods, such as the analytic hierarchy process (AHP), best–worst method (BWM), and unaugmented TOPSIS, often lack advanced risk prioritization and objective criteria weighting, limiting their effectiveness in addressing complex, multidimensional energy challenges. This study proposes an integrated framework that combines Failure Mode and Effects Analysis (FMEA) for risk prioritization, the CRITIC-method for objective criteria weighting based on the 4A’s energy resilience dimensions—availability, accessibility, affordability, and acceptability—and fuzzy-TOPSIS for strategy ranking. The framework bridges theoretical rigor with operational applicability, addressing the unique challenges faced by manufacturing enterprises. Validated through a real-world case study and sensitivity analysis, it identifies actionable strategies, such as flexible scheduling, demonstrating consistent rankings across comparative analyses with fuzzy VIKOR, WASPAS, and MARCOS. This sector-specific approach advances both academic understanding and industrial practice by providing a scalable, multidimensional tool for enhancing energy resilience. |
| format | Article |
| id | doaj-art-57f72194abdd40b6a07b798091fd4aba |
| institution | Kabale University |
| issn | 2731-9237 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Sustainable Energy Research |
| spelling | doaj-art-57f72194abdd40b6a07b798091fd4aba2025-02-02T12:34:44ZengSpringerOpenSustainable Energy Research2731-92372025-01-0112112010.1186/s40807-025-00148-0Enhancing energy resilience in enterprises: a multi-criteria approachPholoso Lebepe0Tebello N. D. Mathaba1Postgraduate School of Engineering Management, Faculty of Engineering and Built Environment, University of JohannesburgPostgraduate School of Engineering Management, Faculty of Engineering and Built Environment, University of JohannesburgAbstract Unreliable energy supply disrupts productivity and escalates costs in manufacturing enterprises, highlighting the need for robust energy resilience strategies. Existing multi-criteria decision-making (MCDM) methods, such as the analytic hierarchy process (AHP), best–worst method (BWM), and unaugmented TOPSIS, often lack advanced risk prioritization and objective criteria weighting, limiting their effectiveness in addressing complex, multidimensional energy challenges. This study proposes an integrated framework that combines Failure Mode and Effects Analysis (FMEA) for risk prioritization, the CRITIC-method for objective criteria weighting based on the 4A’s energy resilience dimensions—availability, accessibility, affordability, and acceptability—and fuzzy-TOPSIS for strategy ranking. The framework bridges theoretical rigor with operational applicability, addressing the unique challenges faced by manufacturing enterprises. Validated through a real-world case study and sensitivity analysis, it identifies actionable strategies, such as flexible scheduling, demonstrating consistent rankings across comparative analyses with fuzzy VIKOR, WASPAS, and MARCOS. This sector-specific approach advances both academic understanding and industrial practice by providing a scalable, multidimensional tool for enhancing energy resilience.https://doi.org/10.1186/s40807-025-00148-0Energy resilienceFMEA (failure mode and effects analysis)Critic-methodEnterpriseFuzzy TOPSISMulticriteria-decision-making (MCDM) |
| spellingShingle | Pholoso Lebepe Tebello N. D. Mathaba Enhancing energy resilience in enterprises: a multi-criteria approach Sustainable Energy Research Energy resilience FMEA (failure mode and effects analysis) Critic-method Enterprise Fuzzy TOPSIS Multicriteria-decision-making (MCDM) |
| title | Enhancing energy resilience in enterprises: a multi-criteria approach |
| title_full | Enhancing energy resilience in enterprises: a multi-criteria approach |
| title_fullStr | Enhancing energy resilience in enterprises: a multi-criteria approach |
| title_full_unstemmed | Enhancing energy resilience in enterprises: a multi-criteria approach |
| title_short | Enhancing energy resilience in enterprises: a multi-criteria approach |
| title_sort | enhancing energy resilience in enterprises a multi criteria approach |
| topic | Energy resilience FMEA (failure mode and effects analysis) Critic-method Enterprise Fuzzy TOPSIS Multicriteria-decision-making (MCDM) |
| url | https://doi.org/10.1186/s40807-025-00148-0 |
| work_keys_str_mv | AT pholosolebepe enhancingenergyresilienceinenterprisesamulticriteriaapproach AT tebellondmathaba enhancingenergyresilienceinenterprisesamulticriteriaapproach |