Frick, Nicholas ; Terwolbeck, Jan ; Seibel, Benjamin ; Metternich, Joachim (2024)
Design Model for the Digital Shadow of a Value Stream.
In: Systems, 2024, 12 (1)
doi: 10.26083/tuprints-00027165
Artikel, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (Abstract)
The value stream method, a key tool in industry to analyze and visualize value streams in production, aims to holistically optimize process steps, reduce waste, and achieve continuous material flow. However, this method primarily relies on data from a single on-site inspection, which is subjective and represents just a snapshot of the process. This limitation can lead to uncertainty and potentially incorrect decisions, especially in industries producing customer-specific products. The increasing digitization in production offers a solution to this limitation by supporting the method through data provision. The concept of the digital shadow emerges as a key tool that systematically captures, processes, and integrates necessary data into a model to enhance traditional value stream mapping. This addresses the method’s shortcomings, especially in heterogeneous IT landscapes and complex value streams. To effectively implement the digital shadow this study identifies concepts of digital shadows and their key components and evaluates them for their relevance in industrial environments using an expert study. Based on the results, a design model is defined. This model entails guidelines to support companies with the practical implementation of the digital shadow of a value stream. Lastly, the model is evaluated on a realistic value stream in a learning factory.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2024 |
| Autor(en): | Frick, Nicholas ; Terwolbeck, Jan ; Seibel, Benjamin ; Metternich, Joachim |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Design Model for the Digital Shadow of a Value Stream |
| Sprache: | Englisch |
| Publikationsjahr: | 13 Mai 2024 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 9 Januar 2024 |
| Ort der Erstveröffentlichung: | Basel |
| Verlag: | MDPI |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Systems |
| Jahrgang/Volume einer Zeitschrift: | 12 |
| (Heft-)Nummer: | 1 |
| Kollation: | 24 Seiten |
| DOI: | 10.26083/tuprints-00027165 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/27165 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung DeepGreen |
| Kurzbeschreibung (Abstract): | The value stream method, a key tool in industry to analyze and visualize value streams in production, aims to holistically optimize process steps, reduce waste, and achieve continuous material flow. However, this method primarily relies on data from a single on-site inspection, which is subjective and represents just a snapshot of the process. This limitation can lead to uncertainty and potentially incorrect decisions, especially in industries producing customer-specific products. The increasing digitization in production offers a solution to this limitation by supporting the method through data provision. The concept of the digital shadow emerges as a key tool that systematically captures, processes, and integrates necessary data into a model to enhance traditional value stream mapping. This addresses the method’s shortcomings, especially in heterogeneous IT landscapes and complex value streams. To effectively implement the digital shadow this study identifies concepts of digital shadows and their key components and evaluates them for their relevance in industrial environments using an expert study. Based on the results, a design model is defined. This model entails guidelines to support companies with the practical implementation of the digital shadow of a value stream. Lastly, the model is evaluated on a realistic value stream in a learning factory. |
| Freie Schlagworte: | value stream management, digitalization, digital shadow, design model |
| ID-Nummer: | Artikel-ID: 20 |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-271652 |
| Zusätzliche Informationen: | This article belongs to the Special Issue Lean Manufacturing in Industry 4.0 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) |
| Hinterlegungsdatum: | 13 Mai 2024 12:35 |
| Letzte Änderung: | 14 Mai 2024 07:01 |
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| Suche nach Titel in: | TUfind oder in Google |
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