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Dokumenttyp:
Konferenzbeitrag / Conference Paper
Titel:
Data Mining in Product Portfolio and Variety Management
Untertitel:
Literature Review on Use Cases and Research Potentials
Titel Konferenzpublikation:
2021 IEEE Technology & Engineering Management Conference - Europe (TEMSCON-EUR)
Konferenztitel:
IEEE Technology & Engineering Management Conference - Europe (2021, Dubrovnik)
Tagungsort:
Dubrovnik, Croatia
Jahr der Konferenz:
2021
Datum Beginn der Konferenz:
17.05.2021
Datum Ende der Konferenz:
20.05.2021
Verlagsort:
Piscataway, NJ
Verlag:
IEEE
Jahr:
2021
Seiten von - bis:
442-447
Sprache:
Englisch
Stichwörter:
Data Mining ; Engineering Management I ; Machine Learning ; Product Portfolio ; Variety Management
Abstract:
The increased global competition and the demand for individualised products confront companies with growing complexity in product portfolio and variety management. However, today's product portfolio and variant decisions are often based on the subjective experiences of individual engineers. In order to cope with the portfolio complexity and to plan and design the product programme efficiently, companies require automated, intelligent, and data-driven solutions. In this paper, the possible applic... »
ISBN:
978-1-6654-4091-2 ; 978-1-6654-3114-9
Fakultät:
Fakultät für Luft- und Raumfahrttechnik
Institut:
LRT 3 - Institut für Technische Produktentwicklung
Professur:
Paetzold, Kristin
Open Access ja oder nein?:
Nein / No
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