Voraussetzungen für den Einsatz datengetriebener Methoden in der Produktentwicklung

Jan Mehlstäubl; Simon Nicklas; Benjamin Gerschütz; Nicolai Sprogies; Benjamin Schleich; Thomas Lohner; Sandro Wartzack; Karsten Stahl; Kristin Paetzold

doi:10.35199/dfx2021.13

Voraussetzungen für den Einsatz datengetriebener Methoden in der Produktentwicklung

Translated title of the contribution: Prerequisites for the use of data-driven methods in product development

Jan Mehlstäubl, Simon Nicklas, Benjamin Gerschütz, Nicolai Sprogies, Benjamin Schleich, Thomas Lohner, Sandro Wartzack, Karsten Stahl, Kristin Paetzold

Chair of Machine Elements

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

Data mining and machine learning are successfully applied in many business areas such as marketing or production. Due to the increasing complexity in data and information flows and the large amount of data, data-driven solutions have also great po-tential in product development. Nevertheless, many companies are not able to integrate data-driven methods into their product development process. In order to support the application of data-driven methods, this paper identifies necessary prerequisites for their integration in product development. Based on a data analy-sis process, the prerequisites are elaborated and, subsequently, levers for their design are derived.

Translated title of the contribution	Prerequisites for the use of data-driven methods in product development
Original language	German
DOIs	https://doi.org/10.35199/dfx2021.13
State	Published - 2021
Event	32nd Symposium Design for X, DFX 2021 - Virtual, Online Duration: 27 Sep 2021 → 28 Sep 2021

Conference

Conference	32nd Symposium Design for X, DFX 2021
City	Virtual, Online
Period	27/09/21 → 28/09/21

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10.35199/dfx2021.13

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title = "Voraussetzungen f{\"u}r den Einsatz datengetriebener Methoden in der Produktentwicklung",

abstract = "Data mining and machine learning are successfully applied in many business areas such as marketing or production. Due to the increasing complexity in data and information flows and the large amount of data, data-driven solutions have also great po-tential in product development. Nevertheless, many companies are not able to integrate data-driven methods into their product development process. In order to support the application of data-driven methods, this paper identifies necessary prerequisites for their integration in product development. Based on a data analy-sis process, the prerequisites are elaborated and, subsequently, levers for their design are derived.",

keywords = "Data mining, Data-driven methods, Machine learning, Product development",

author = "Jan Mehlst{\"a}ubl and Simon Nicklas and Benjamin Gersch{\"u}tz and Nicolai Sprogies and Benjamin Schleich and Thomas Lohner and Sandro Wartzack and Karsten Stahl and Kristin Paetzold",

note = "Publisher Copyright: {\textcopyright} 2021 die Autoren.; 32nd Symposium Design for X, DFX 2021 ; Conference date: 27-09-2021 Through 28-09-2021",

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doi = "10.35199/dfx2021.13",

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T1 - Voraussetzungen für den Einsatz datengetriebener Methoden in der Produktentwicklung

AU - Mehlstäubl, Jan

AU - Nicklas, Simon

AU - Gerschütz, Benjamin

AU - Sprogies, Nicolai

AU - Schleich, Benjamin

AU - Lohner, Thomas

AU - Wartzack, Sandro

AU - Stahl, Karsten

AU - Paetzold, Kristin

PY - 2021

Y1 - 2021

N2 - Data mining and machine learning are successfully applied in many business areas such as marketing or production. Due to the increasing complexity in data and information flows and the large amount of data, data-driven solutions have also great po-tential in product development. Nevertheless, many companies are not able to integrate data-driven methods into their product development process. In order to support the application of data-driven methods, this paper identifies necessary prerequisites for their integration in product development. Based on a data analy-sis process, the prerequisites are elaborated and, subsequently, levers for their design are derived.

AB - Data mining and machine learning are successfully applied in many business areas such as marketing or production. Due to the increasing complexity in data and information flows and the large amount of data, data-driven solutions have also great po-tential in product development. Nevertheless, many companies are not able to integrate data-driven methods into their product development process. In order to support the application of data-driven methods, this paper identifies necessary prerequisites for their integration in product development. Based on a data analy-sis process, the prerequisites are elaborated and, subsequently, levers for their design are derived.

KW - Data mining

KW - Data-driven methods

KW - Machine learning

KW - Product development

UR - http://www.scopus.com/inward/record.url?scp=85121957968&partnerID=8YFLogxK

U2 - 10.35199/dfx2021.13

DO - 10.35199/dfx2021.13

M3 - Papier

AN - SCOPUS:85121957968

T2 - 32nd Symposium Design for X, DFX 2021

Y2 - 27 September 2021 through 28 September 2021

ER -

Voraussetzungen für den Einsatz datengetriebener Methoden in der Produktentwicklung

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