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Evaluation of clustering approaches and proximity measures for product family identification

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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