Urnauer, Christian ; Rudolph, Leon ; Metternich, Joachim (2024)
Evaluation of clustering approaches and proximity measures for product family identification.
In: Procedia CIRP, 126
doi: 10.1016/j.procir.2024.08.308
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Value stream mapping is the most widely used method for analyzing material and information flows in production. The first step of the method is the identification of product families, which can be suitably supported by cluster analysis. In order to evaluate the suitability of different cluster algorithms and proximity measures, this paper conducts a study based on synthetically generated test data. Seven performance measures are used to evaluate the quality of clustering solutions. Based on the results of the study, recommendations are derived for the appropriate use of cluster analysis for product family identification.
Typ des Eintrags: | Artikel |
---|---|
Erschienen: | 2024 |
Autor(en): | Urnauer, Christian ; Rudolph, Leon ; Metternich, Joachim |
Art des Eintrags: | Bibliographie |
Titel: | Evaluation of clustering approaches and proximity measures for product family identification |
Sprache: | Englisch |
Publikationsjahr: | 2024 |
Verlag: | Elsevier B.V. |
Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Procedia CIRP |
Jahrgang/Volume einer Zeitschrift: | 126 |
DOI: | 10.1016/j.procir.2024.08.308 |
Kurzbeschreibung (Abstract): | Value stream mapping is the most widely used method for analyzing material and information flows in production. The first step of the method is the identification of product families, which can be suitably supported by cluster analysis. In order to evaluate the suitability of different cluster algorithms and proximity measures, this paper conducts a study based on synthetically generated test data. Seven performance measures are used to evaluate the quality of clustering solutions. Based on the results of the study, recommendations are derived for the appropriate use of cluster analysis for product family identification. |
Freie Schlagworte: | value stream mapping, data analytics, cluster analysis |
Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > CiP Center für industrielle Produktivität |
Hinterlegungsdatum: | 11 Nov 2024 06:57 |
Letzte Änderung: | 11 Nov 2024 09:39 |
PPN: | 523446683 |
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