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Manufacturing Analytics for Problem-Solving Processes in Production

Meister, Maximilian and Beßle, Julia and Cviko, Amir and Böing, Tobias and Metternich, Joachim (2019):
Manufacturing Analytics for Problem-Solving Processes in Production.
In: Procedia CIRP, 52nd CIRP Conference on Manufacturing Systems, Ljubljana (Slovenia), Elsevier Ltd., pp. 1-6, 81, DOI: 10.1016/j.procir.2019.03.001,
[Article]

Abstract

Due to constantly growing complexity in production complex problems occur more often and problem-solving is of increasing importance. The question arises whether the established methods and tools for problem-solving meet the new requirements. Opportunities emerge through an increased data availability and data analysis can help to support solving complex problems. In order to evaluate resulting possibilities this article examines the importance of Manufacturing Analytics in today's problem-solving processes. Based on an empirical study using interviews to gather experience out of industrial projects it is dealing with fundamentals of modern Manufacturing Analytics and its influence on effective and efficient problem-solving considering statistics, machine learning, data mining and engineering processes.

Item Type: Article
Erschienen: 2019
Creators: Meister, Maximilian and Beßle, Julia and Cviko, Amir and Böing, Tobias and Metternich, Joachim
Title: Manufacturing Analytics for Problem-Solving Processes in Production
Language: English
Abstract:

Due to constantly growing complexity in production complex problems occur more often and problem-solving is of increasing importance. The question arises whether the established methods and tools for problem-solving meet the new requirements. Opportunities emerge through an increased data availability and data analysis can help to support solving complex problems. In order to evaluate resulting possibilities this article examines the importance of Manufacturing Analytics in today's problem-solving processes. Based on an empirical study using interviews to gather experience out of industrial projects it is dealing with fundamentals of modern Manufacturing Analytics and its influence on effective and efficient problem-solving considering statistics, machine learning, data mining and engineering processes.

Journal or Publication Title: Procedia CIRP, 52nd CIRP Conference on Manufacturing Systems, Ljubljana (Slovenia)
Volume: 81
Publisher: Elsevier Ltd.
Uncontrolled Keywords: digitalization;Industrie 4.0;Manufacturing Analytics;systematic problem solving process
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute of Production Management, Technology and Machine Tools (PTW)
16 Department of Mechanical Engineering > Institute of Production Management, Technology and Machine Tools (PTW) > CiP Center for industrial Productivity
Date Deposited: 23 Jul 2019 05:21
DOI: 10.1016/j.procir.2019.03.001
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