Cluster Analysis on Supply Chain Management-Related Indicators
The supply chain performance of countries has a significant impact on the overall performance of countries. These indices primarily emphasized countries' standings, rankings, and improvement areas. Clustering countries based on a single index does not always yield the desired results. Using clu...
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| Format: | Article |
| Language: | deu |
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Mustafa Süleyman ÖZCAN
2023-12-01
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| Series: | İtobiad |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/2955419 |
| _version_ | 1797224438994829312 |
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| author | Metin Yıldırım |
| author_facet | Metin Yıldırım |
| author_sort | Metin Yıldırım |
| collection | DOAJ |
| description | The supply chain performance of countries has a significant impact on the overall performance of countries. These indices primarily emphasized countries' standings, rankings, and improvement areas. Clustering countries based on a single index does not always yield the desired results. Using cluster analysis may help get critical information when many indicators are evaluated. The supply chain-connected indicators were chosen to be included in the research initially. In this study, three global indices were selected. We chose the Logistics Performance Index(LPI) to evaluate the logistics industry, which is essential in supply chain management. Logistics is one of the critical areas that affect and have also been affected by many fundamental indicators used to evaluate a country's performance. One critical indicator that globally measures the processes is the Logistics Performance Index. We included Environmental Performance Index(EPI) in the study to evaluate environmental policies that impact supply chain operations. The final index used in the study is the Global Competitiveness Index(GCI), which examines the competitiveness of countries with a heavy dependence on supply chain management performance. It is one of the crucial indications in evaluating a country's productivity. We used clustering analysis based on supply chain management-related indicators in the following phase. K-Means clustering algorithm was applied to the extracted data set. Python code is written to implement the K-Means clustering algorithm. In the final part of the study, differences between clusters and submitted research proposals ideas were discussed. This research proposes a three-step methodological framework for mining supply chain indicators derived from the LPI, GCI, and EPI indicators. The research aims to conclude from the analyses of the change in centers based on indicators, the variation based on datasets between clusters, and the grouping of countries based on any combination of the LPI, GCI, and EPI indicators . |
| first_indexed | 2024-04-24T13:53:08Z |
| format | Article |
| id | doaj.art-f8382baa19964279931b7770263afe60 |
| institution | Directory Open Access Journal |
| issn | 2147-1185 |
| language | deu |
| last_indexed | 2024-04-24T13:53:08Z |
| publishDate | 2023-12-01 |
| publisher | Mustafa Süleyman ÖZCAN |
| record_format | Article |
| series | İtobiad |
| spelling | doaj.art-f8382baa19964279931b7770263afe602024-04-04T02:06:53ZdeuMustafa Süleyman ÖZCANİtobiad2147-11852023-12-011252499252010.15869/itobiad.12518412197Cluster Analysis on Supply Chain Management-Related IndicatorsMetin Yıldırım0İSTANBUL GELİŞİM ÜNİVERSİTESİThe supply chain performance of countries has a significant impact on the overall performance of countries. These indices primarily emphasized countries' standings, rankings, and improvement areas. Clustering countries based on a single index does not always yield the desired results. Using cluster analysis may help get critical information when many indicators are evaluated. The supply chain-connected indicators were chosen to be included in the research initially. In this study, three global indices were selected. We chose the Logistics Performance Index(LPI) to evaluate the logistics industry, which is essential in supply chain management. Logistics is one of the critical areas that affect and have also been affected by many fundamental indicators used to evaluate a country's performance. One critical indicator that globally measures the processes is the Logistics Performance Index. We included Environmental Performance Index(EPI) in the study to evaluate environmental policies that impact supply chain operations. The final index used in the study is the Global Competitiveness Index(GCI), which examines the competitiveness of countries with a heavy dependence on supply chain management performance. It is one of the crucial indications in evaluating a country's productivity. We used clustering analysis based on supply chain management-related indicators in the following phase. K-Means clustering algorithm was applied to the extracted data set. Python code is written to implement the K-Means clustering algorithm. In the final part of the study, differences between clusters and submitted research proposals ideas were discussed. This research proposes a three-step methodological framework for mining supply chain indicators derived from the LPI, GCI, and EPI indicators. The research aims to conclude from the analyses of the change in centers based on indicators, the variation based on datasets between clusters, and the grouping of countries based on any combination of the LPI, GCI, and EPI indicators .https://dergipark.org.tr/tr/download/article-file/2955419cluster analysisk-meanslogistics performance indexenvironmental performance indexglobal competitiveness indexkümeleme analizilojistik performans endeksiçevresel performans endeksiküresel rekabet edebilirlik endeksicluster analysisk-meanslogistics performance indexenvironmental performance indexglobal competitiveness indexkümeleme analizik-meanslojistik performans endeksiçevresel performans endeksiküresel rekabet edebilirlik endeksicluster analysisk-meanslogistics performance indexenvironmental performance indexglobal competitiveness indexkümeleme analizilojistik performans endeksiçevresel performans endeksiküresel rekabet edebilirlik endeksicluster analysisk-meanslogistics performance indexenvironmental performance indexglobal competitiveness indexkümeleme analizilojistik performans endeksiçevresel performans endeksiküresel rekabet edebilirlik endeksicluster analysisk-meanslogistics performance indexenvironmental performance indexglobal competitiveness indexkümeleme analizilojistik performans endeksiçevresel performans endeksiküresel rekabet edebilirlik endeksicluster analysisk-meanslogistics performance indexenvironmental performance indexglobal competitiveness indexkümeleme analizilojistik performans endeksiçevresel performans endeksiküresel rekabet edebilirlik endeksi |
| spellingShingle | Metin Yıldırım Cluster Analysis on Supply Chain Management-Related Indicators İtobiad cluster analysis k-means logistics performance index environmental performance index global competitiveness index kümeleme analizi lojistik performans endeksi çevresel performans endeksi küresel rekabet edebilirlik endeksi cluster analysis k-means logistics performance index environmental performance index global competitiveness index kümeleme analizi k-means lojistik performans endeksi çevresel performans endeksi küresel rekabet edebilirlik endeksi cluster analysis k-means logistics performance index environmental performance index global competitiveness index kümeleme analizi lojistik performans endeksi çevresel performans endeksi küresel rekabet edebilirlik endeksi cluster analysis k-means logistics performance index environmental performance index global competitiveness index kümeleme analizi lojistik performans endeksi çevresel performans endeksi küresel rekabet edebilirlik endeksi cluster analysis k-means logistics performance index environmental performance index global competitiveness index kümeleme analizi lojistik performans endeksi çevresel performans endeksi küresel rekabet edebilirlik endeksi cluster analysis k-means logistics performance index environmental performance index global competitiveness index kümeleme analizi lojistik performans endeksi çevresel performans endeksi küresel rekabet edebilirlik endeksi |
| title | Cluster Analysis on Supply Chain Management-Related Indicators |
| title_full | Cluster Analysis on Supply Chain Management-Related Indicators |
| title_fullStr | Cluster Analysis on Supply Chain Management-Related Indicators |
| title_full_unstemmed | Cluster Analysis on Supply Chain Management-Related Indicators |
| title_short | Cluster Analysis on Supply Chain Management-Related Indicators |
| title_sort | cluster analysis on supply chain management related indicators |
| topic | cluster analysis k-means logistics performance index environmental performance index global competitiveness index kümeleme analizi lojistik performans endeksi çevresel performans endeksi küresel rekabet edebilirlik endeksi cluster analysis k-means logistics performance index environmental performance index global competitiveness index kümeleme analizi k-means lojistik performans endeksi çevresel performans endeksi küresel rekabet edebilirlik endeksi cluster analysis k-means logistics performance index environmental performance index global competitiveness index kümeleme analizi lojistik performans endeksi çevresel performans endeksi küresel rekabet edebilirlik endeksi cluster analysis k-means logistics performance index environmental performance index global competitiveness index kümeleme analizi lojistik performans endeksi çevresel performans endeksi küresel rekabet edebilirlik endeksi cluster analysis k-means logistics performance index environmental performance index global competitiveness index kümeleme analizi lojistik performans endeksi çevresel performans endeksi küresel rekabet edebilirlik endeksi cluster analysis k-means logistics performance index environmental performance index global competitiveness index kümeleme analizi lojistik performans endeksi çevresel performans endeksi küresel rekabet edebilirlik endeksi |
| url | https://dergipark.org.tr/tr/download/article-file/2955419 |
| work_keys_str_mv | AT metinyıldırım clusteranalysisonsupplychainmanagementrelatedindicators |