Performance Measurement in a Custom Production Process Model Using the Process Mining Approach: A Systematic Literature Review
This study aims to explore and develop a method for measuring supply chain performance influenced by customer demand in custom product production. The research method used is a systematic literature review, focusing on measuring key indicators and evaluating supply chain performance. This study high...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10752937/ |
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| author | Wawa Wikusna Mustafid Ferry Jie |
| author_facet | Wawa Wikusna Mustafid Ferry Jie |
| author_sort | Wawa Wikusna |
| collection | DOAJ |
| description | This study aims to explore and develop a method for measuring supply chain performance influenced by customer demand in custom product production. The research method used is a systematic literature review, focusing on measuring key indicators and evaluating supply chain performance. This study highlights the importance of Key Performance Indicators (KPIs) as an evaluation tool, which helps make decisions more effective and efficient in the supply chain. By using the Supply Chain Operation Reference (SCOR) model supported by the Analytic Hierarchy Process (AHP) and the normalization of the Snorm De Boer Score, this study shows a systematic measurement process from planning to evaluation. The results of the study indicate that supply chain performance measurement can provide guidance for companies to improve operational performance and support supply chain sustainability. The traffic light system is applied to identify performance indicators that require special attention, so that focused improvement recommendations can be provided. This study makes an important contribution to the development of supply chain performance management in the context of custom production. |
| format | Article |
| id | doaj-art-2b24efcb444049c0812b2aac2a0bd9fd |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-2b24efcb444049c0812b2aac2a0bd9fd2025-08-20T01:53:36ZengIEEEIEEE Access2169-35362024-01-011217355217355610.1109/ACCESS.2024.349843310752937Performance Measurement in a Custom Production Process Model Using the Process Mining Approach: A Systematic Literature ReviewWawa Wikusna0https://orcid.org/0000-0001-7733-5376 Mustafid1Ferry Jie2https://orcid.org/0000-0002-6287-8471Doctoral Program of Information System, School of Postgraduate Studies, Diponegoro University, Kota Semarang, IndonesiaDoctoral Program of Information System, School of Postgraduate Studies, Diponegoro University, Kota Semarang, IndonesiaSchool of Business and Law, Edith Cowan University, Joondalup, AustraliaThis study aims to explore and develop a method for measuring supply chain performance influenced by customer demand in custom product production. The research method used is a systematic literature review, focusing on measuring key indicators and evaluating supply chain performance. This study highlights the importance of Key Performance Indicators (KPIs) as an evaluation tool, which helps make decisions more effective and efficient in the supply chain. By using the Supply Chain Operation Reference (SCOR) model supported by the Analytic Hierarchy Process (AHP) and the normalization of the Snorm De Boer Score, this study shows a systematic measurement process from planning to evaluation. The results of the study indicate that supply chain performance measurement can provide guidance for companies to improve operational performance and support supply chain sustainability. The traffic light system is applied to identify performance indicators that require special attention, so that focused improvement recommendations can be provided. This study makes an important contribution to the development of supply chain performance management in the context of custom production.https://ieeexplore.ieee.org/document/10752937/Custom productionproduct customizationprocess modelperformanceprocess mining |
| spellingShingle | Wawa Wikusna Mustafid Ferry Jie Performance Measurement in a Custom Production Process Model Using the Process Mining Approach: A Systematic Literature Review IEEE Access Custom production product customization process model performance process mining |
| title | Performance Measurement in a Custom Production Process Model Using the Process Mining Approach: A Systematic Literature Review |
| title_full | Performance Measurement in a Custom Production Process Model Using the Process Mining Approach: A Systematic Literature Review |
| title_fullStr | Performance Measurement in a Custom Production Process Model Using the Process Mining Approach: A Systematic Literature Review |
| title_full_unstemmed | Performance Measurement in a Custom Production Process Model Using the Process Mining Approach: A Systematic Literature Review |
| title_short | Performance Measurement in a Custom Production Process Model Using the Process Mining Approach: A Systematic Literature Review |
| title_sort | performance measurement in a custom production process model using the process mining approach a systematic literature review |
| topic | Custom production product customization process model performance process mining |
| url | https://ieeexplore.ieee.org/document/10752937/ |
| work_keys_str_mv | AT wawawikusna performancemeasurementinacustomproductionprocessmodelusingtheprocessminingapproachasystematicliteraturereview AT mustafid performancemeasurementinacustomproductionprocessmodelusingtheprocessminingapproachasystematicliteraturereview AT ferryjie performancemeasurementinacustomproductionprocessmodelusingtheprocessminingapproachasystematicliteraturereview |