TU Darmstadt / ULB / TUbiblio

Identification of risks in value streams for resilience assessment — diagnostic models

Steinmeyer, Maximilian ; Bentz, Daniel (2024)
Identification of risks in value streams for resilience assessment — diagnostic models.
In: Procedia CIRP, 130
doi: 10.1016/j.procir.2024.10.094
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

The COVID-19 pandemic and the war in Ukraine highlighted the vulnerability of industrial value streams. Value streams comprise all activities that are necessary to produce a product from the raw material to the final product. The understanding of value streams is therefore very important to identify which factors influence the supply of customers with the required products. The standard approach to analyze a value stream is the value stream analysis. It analyses the entire material and information flows in a production with focus on eliminating waste. So far, the value stream analysis does not include the identification of risks in a value stream. This shortcoming is addressed in this paper. Therefore, value stream elements are categorized and models for each of these categories are introduced. These models describe characteristic value stream elements and their risks. Based on the models the actual risks for value streams can be derived. The models were tested in a learning factory at TU Darmstadt. The experiments show that the models are applicable and provide an overview of the risk situation in the focused value stream elements.

Typ des Eintrags: Artikel
Erschienen: 2024
Autor(en): Steinmeyer, Maximilian ; Bentz, Daniel
Art des Eintrags: Bibliographie
Titel: Identification of risks in value streams for resilience assessment — diagnostic models
Sprache: Englisch
Publikationsjahr: 2024
Verlag: Elsevier B.V.
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Procedia CIRP
Jahrgang/Volume einer Zeitschrift: 130
DOI: 10.1016/j.procir.2024.10.094
Kurzbeschreibung (Abstract):

The COVID-19 pandemic and the war in Ukraine highlighted the vulnerability of industrial value streams. Value streams comprise all activities that are necessary to produce a product from the raw material to the final product. The understanding of value streams is therefore very important to identify which factors influence the supply of customers with the required products. The standard approach to analyze a value stream is the value stream analysis. It analyses the entire material and information flows in a production with focus on eliminating waste. So far, the value stream analysis does not include the identification of risks in a value stream. This shortcoming is addressed in this paper. Therefore, value stream elements are categorized and models for each of these categories are introduced. These models describe characteristic value stream elements and their risks. Based on the models the actual risks for value streams can be derived. The models were tested in a learning factory at TU Darmstadt. The experiments show that the models are applicable and provide an overview of the risk situation in the focused value stream elements.

Freie Schlagworte: resilience, risk management, value stream analysis, value stream management
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: 09 Jan 2025 06:47
Letzte Änderung: 09 Jan 2025 07:24
PPN: 525160027
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen