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Authors:
Mehlstäubl, Jan; Braun, Felix; Paetzold, Kristin 
Document type:
Konferenzbeitrag / Conference Paper 
Title:
Data Mining in Product Portfolio and Variety Management 
Subtitle:
Literature Review on Use Cases and Research Potentials 
Title of conference publication:
2021 IEEE Technology & Engineering Management Conference - Europe (TEMSCON-EUR) 
Conference title:
IEEE Technology & Engineering Management Conference - Europe (2021, Dubrovnik) 
Venue:
Dubrovnik, Croatia 
Year of conference:
2021 
Date of conference beginning:
17.05.2021 
Date of conference ending:
20.05.2021 
Place of publication:
Piscataway, NJ 
Publisher:
IEEE 
Year:
2021 
Pages from - to:
442-447 
Language:
Englisch 
Keywords:
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 
Department:
Fakultät für Luft- und Raumfahrttechnik 
Institute:
LRT 3 - Institut für Technische Produktentwicklung 
Chair:
Paetzold, Kristin 
Open Access yes or no?:
Nein / No