2022
DOI: 10.1515/zwf-2022-1034
|View full text |Cite
|
Sign up to set email alerts
|

Traceability-Systeme in der Elektronikindustrie

Abstract: Traceability-Systeme werden im Kontext von Industrie 4.0 vermehrt zur Datengenerierung eingesetzt und befähigen eine Vielzahl datenbasierter Anwendungen entlang der Wertschöpfungskette. Die vorgestellte Interviewstudie vermittelt einen Einblick zur Umsetzung von Traceability-Systemen in der industriellen Praxis am Beispiel der Elektronikindustrie. Die Ergebnisse dokumentieren das Vorgehen der befragten Unternehmen bei der Konzeption, Implementierung und Evaluation von Traceability-Lösungen.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 6 publications
0
1
0
Order By: Relevance
“…At the moment, to calculate PCFs, especially in companies with many product variants, is very time-consuming because a high amount of data has to be gathered from different sources or departments. To overcome this obstacle, and possibly reduce uncertainty due to secondary data at the same time, concepts for automated data acquisition combined with the automation of PCF calculations, described for example in [33,34], are expected to offer great potential to especially reduce uncertainty arising from the use of secondary data and allocation. Therefore, more research and case studies should be conducted in this field to persuade more companies to calculate PCFs and subsequently reduce GHG emissions.…”
Section: Discussionmentioning
confidence: 99%
“…At the moment, to calculate PCFs, especially in companies with many product variants, is very time-consuming because a high amount of data has to be gathered from different sources or departments. To overcome this obstacle, and possibly reduce uncertainty due to secondary data at the same time, concepts for automated data acquisition combined with the automation of PCF calculations, described for example in [33,34], are expected to offer great potential to especially reduce uncertainty arising from the use of secondary data and allocation. Therefore, more research and case studies should be conducted in this field to persuade more companies to calculate PCFs and subsequently reduce GHG emissions.…”
Section: Discussionmentioning
confidence: 99%