---
_id: '597'
abstract:
- lang: eng
  text: "This paper is aimed to discuss current research using data mining techniques
    and industry statistics in production environments. The general research approach
    is based on the idea of using data mining processes and techniques of industry
    statistics to find rare and hidden patterns behind failures of complex components.
    A case study will be applied to illustrate how the technique is carried out and
    where the limits of this approach occur. The case study deals with a component
    supplier of printing machines, which received an increasing number of client complaints,
    all related to one distinct problem. The observed failures seem to occur only
    among clients with very high quality standards. The affected component undergoes
    a very complex production process with several steps in different departments.
    Every single production unit records data information from multiple process variables
    and at different points in time. In the beginning there was no understanding of
    the failure causes in production at all. Therefore a huge amount of production
    data had to be analyzed to find the pattern that discloses the failure.\r\nThe
    data mining process starts with a first step in which the given data sets are
    prepared and then cleaned. Followed up by building a prediction model. The aim
    is to detect the root causes for failures and to predict potential failures in
    affected components. This paper shows how to use data mining to get the answer
    on pressing production failures.\r\n"
author:
- first_name: Eva
  full_name: Scheideler, Eva
  id: '61522'
  last_name: Scheideler
- first_name: Andrea
  full_name: Ahlemeyer-Stubbe, Andrea
  last_name: Ahlemeyer-Stubbe
citation:
  ama: 'Scheideler E, Ahlemeyer-Stubbe A. Data Mining: A Potential Detector to Find
    Failure in Complex Components. In: Padoano E, Villmer FJ, Department of Production
    Engineering and Management, Hochschule Ostwestfalen-Lippe, eds. <i>Production
    Engineering and Management : Proceedings, 5th International Conference, October
    1 and 2, 2015, Trieste, Italy</i>. Hochschule Ostwestfalen-Lippe; 2015:163-174.'
  apa: 'Scheideler, E., &#38; Ahlemeyer-Stubbe, A. (2015). Data Mining: A Potential
    Detector to Find Failure in Complex Components. In E. Padoano, F.-J. Villmer,
    Department of Production Engineering and Management, &#38; Hochschule Ostwestfalen-Lippe
    (Eds.), <i>Production engineering and management : proceedings, 5th international
    conference, October 1 and 2, 2015, Trieste, Italy</i> (Issue 1, pp. 163–174).
    Hochschule Ostwestfalen-Lippe.'
  bjps: '<b>Scheideler E and Ahlemeyer-Stubbe A</b> (2015) Data Mining: A Potential
    Detector to Find Failure in Complex Components. In Padoano E et al. (eds), <i>Production
    Engineering and Management : Proceedings, 5th International Conference, October
    1 and 2, 2015, Trieste, Italy</i>. Lemgo: Hochschule Ostwestfalen-Lippe, pp. 163–174.'
  chicago: 'Scheideler, Eva, and Andrea Ahlemeyer-Stubbe. “Data Mining: A Potential
    Detector to Find Failure in Complex Components.” In <i>Production Engineering
    and Management : Proceedings, 5th International Conference, October 1 and 2, 2015,
    Trieste, Italy</i>, edited by Elio Padoano, Franz-Josef Villmer, Department of
    Production Engineering and Management, and Hochschule Ostwestfalen-Lippe, 163–74.
    Lemgo: Hochschule Ostwestfalen-Lippe, 2015.'
  chicago-de: 'Scheideler, Eva und Andrea Ahlemeyer-Stubbe. 2015. Data Mining: A Potential
    Detector to Find Failure in Complex Components. In: <i>Production engineering
    and management : proceedings, 5th international conference, October 1 and 2, 2015,
    Trieste, Italy</i>, hg. von Elio Padoano, Franz-Josef Villmer, Department of Production
    Engineering and Management, und Hochschule Ostwestfalen-Lippe, 163–174. Lemgo:
    Hochschule Ostwestfalen-Lippe.'
  din1505-2-1: '<span style="font-variant:small-caps;">Scheideler, Eva</span> ; <span
    style="font-variant:small-caps;">Ahlemeyer-Stubbe, Andrea</span>: Data Mining:
    A Potential Detector to Find Failure in Complex Components. In: <span style="font-variant:small-caps;">Padoano,
    E.</span> ; <span style="font-variant:small-caps;">Villmer, F.-J.</span> ; <span
    style="font-variant:small-caps;">Department of Production Engineering and Management</span>
    ; <span style="font-variant:small-caps;">Hochschule Ostwestfalen-Lippe</span>
    (Hrsg.): <i>Production engineering and management : proceedings, 5th international
    conference, October 1 and 2, 2015, Trieste, Italy</i>. Lemgo : Hochschule Ostwestfalen-Lippe,
    2015, S. 163–174'
  havard: 'E. Scheideler, A. Ahlemeyer-Stubbe, Data Mining: A Potential Detector to
    Find Failure in Complex Components, in: E. Padoano, F.-J. Villmer, Department
    of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.),
    Production Engineering and Management : Proceedings, 5th International Conference,
    October 1 and 2, 2015, Trieste, Italy, Hochschule Ostwestfalen-Lippe, Lemgo, 2015:
    pp. 163–174.'
  ieee: 'E. Scheideler and A. Ahlemeyer-Stubbe, “Data Mining: A Potential Detector
    to Find Failure in Complex Components,” in <i>Production engineering and management :
    proceedings, 5th international conference, October 1 and 2, 2015, Trieste, Italy</i>,
    Trieste, Italy, 2015, no. 1, pp. 163–174.'
  mla: 'Scheideler, Eva, and Andrea Ahlemeyer-Stubbe. “Data Mining: A Potential Detector
    to Find Failure in Complex Components.” <i>Production Engineering and Management :
    Proceedings, 5th International Conference, October 1 and 2, 2015, Trieste, Italy</i>,
    edited by Elio Padoano et al., no. 1, Hochschule Ostwestfalen-Lippe, 2015, pp.
    163–74.'
  short: 'E. Scheideler, A. Ahlemeyer-Stubbe, in: E. Padoano, F.-J. Villmer, Department
    of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.),
    Production Engineering and Management : Proceedings, 5th International Conference,
    October 1 and 2, 2015, Trieste, Italy, Hochschule Ostwestfalen-Lippe, Lemgo, 2015,
    pp. 163–174.'
  ufg: '<b>Scheideler, Eva/Ahlemeyer-Stubbe, Andrea</b>: Data Mining: A Potential
    Detector to Find Failure in Complex Components, in: <i>Padoano, Elio u. a. (Hgg.)</i>:
    Production engineering and management : proceedings, 5th international conference,
    October 1 and 2, 2015, Trieste, Italy, Lemgo 2015,  S. 163–174.'
  van: 'Scheideler E, Ahlemeyer-Stubbe A. Data Mining: A Potential Detector to Find
    Failure in Complex Components. In: Padoano E, Villmer FJ, Department of Production
    Engineering and Management, Hochschule Ostwestfalen-Lippe, editors. Production
    engineering and management : proceedings, 5th international conference, October
    1 and 2, 2015, Trieste, Italy. Lemgo: Hochschule Ostwestfalen-Lippe; 2015. p.
    163–74.'
conference:
  end_date: 2015-10-02
  location: Trieste, Italy
  name: '5th International Conference "Production Engineering and Management" '
  start_date: 2015-10-01
corporate_editor:
- Department of Production Engineering and Management
- Hochschule Ostwestfalen-Lippe
date_created: 2019-02-19T07:15:57Z
date_updated: 2024-03-22T13:12:47Z
department:
- _id: DEP7000
- _id: DEP1306
editor:
- first_name: Elio
  full_name: Padoano, Elio
  last_name: Padoano
- first_name: Franz-Josef
  full_name: Villmer, Franz-Josef
  id: '14290'
  last_name: Villmer
issue: '1'
keyword:
- Data mining
- production failure
- multi-variant analysis
- multivariate process control
- predictive modelling
- case study
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_Tagung_zusammen2015.pdf
oa: '1'
page: 163-174
place: Lemgo
publication: 'Production engineering and management : proceedings, 5th international
  conference, October 1 and 2, 2015, Trieste, Italy'
publication_identifier:
  isbn:
  - 978-3-941645-11-0
publication_status: published
publisher: Hochschule Ostwestfalen-Lippe
related_material:
  link:
  - relation: contains
    url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_Tagung_zusammen2015.pdf
status: public
title: 'Data Mining: A Potential Detector to Find Failure in Complex Components'
type: conference
user_id: '83781'
year: '2015'
...