---
_id: '20347'
author:
- first_name: Faruk
  full_name: Pasic, Faruk
  id: '49576'
  last_name: Pasic
- first_name: Benedict
  full_name: Wohlers, Benedict
  id: '53786'
  last_name: Wohlers
- first_name: Stefan
  full_name: Dziwok, Stefan
  id: '3901'
  last_name: Dziwok
  orcid: http://orcid.org/0000-0002-8679-6673
- first_name: Matthias
  full_name: Becker, Matthias
  id: '4870'
  last_name: Becker
  orcid: https://orcid.org/0000-0003-2465-9347
- first_name: Matthias
  full_name: Heinrich, Matthias
  last_name: Heinrich
citation:
  ama: 'Pasic F, Wohlers B, Dziwok S, Becker M, Heinrich M. A KPI-based Condition
    Monitoring System for the Beer Brewing Process. In: <i>2019 24th IEEE International
    Conference on Emerging Technologies and Factory Automation (ETFA)</i>. ; 2019:1469-1472.'
  apa: Pasic, F., Wohlers, B., Dziwok, S., Becker, M., &#38; Heinrich, M. (2019).
    A KPI-based Condition Monitoring System for the Beer Brewing Process. <i>2019
    24th IEEE International Conference on Emerging Technologies and Factory Automation
    (ETFA)</i>, 1469–1472.
  bibtex: '@inproceedings{Pasic_Wohlers_Dziwok_Becker_Heinrich_2019, title={A KPI-based
    Condition Monitoring System for the Beer Brewing Process}, booktitle={2019 24th
    IEEE International Conference on Emerging Technologies and Factory Automation
    (ETFA)}, author={Pasic, Faruk and Wohlers, Benedict and Dziwok, Stefan and Becker,
    Matthias and Heinrich, Matthias}, year={2019}, pages={1469–1472} }'
  chicago: Pasic, Faruk, Benedict Wohlers, Stefan Dziwok, Matthias Becker, and Matthias
    Heinrich. “A KPI-Based Condition Monitoring System for the Beer Brewing Process.”
    In <i>2019 24th IEEE International Conference on Emerging Technologies and Factory
    Automation (ETFA)</i>, 1469–72, 2019.
  ieee: F. Pasic, B. Wohlers, S. Dziwok, M. Becker, and M. Heinrich, “A KPI-based
    Condition Monitoring System for the Beer Brewing Process,” in <i>2019 24th IEEE
    International Conference on Emerging Technologies and Factory Automation (ETFA)</i>,
    2019, pp. 1469–1472.
  mla: Pasic, Faruk, et al. “A KPI-Based Condition Monitoring System for the Beer
    Brewing Process.” <i>2019 24th IEEE International Conference on Emerging Technologies
    and Factory Automation (ETFA)</i>, 2019, pp. 1469–72.
  short: 'F. Pasic, B. Wohlers, S. Dziwok, M. Becker, M. Heinrich, in: 2019 24th IEEE
    International Conference on Emerging Technologies and Factory Automation (ETFA),
    2019, pp. 1469–1472.'
date_created: 2020-11-13T08:34:51Z
date_updated: 2022-01-06T06:54:26Z
department:
- _id: '241'
language:
- iso: eng
page: 1469-1472
publication: 2019 24th IEEE International Conference on Emerging Technologies and
  Factory Automation (ETFA)
status: public
title: A KPI-based Condition Monitoring System for the Beer Brewing Process
type: conference
user_id: '14931'
year: '2019'
...
---
_id: '20761'
abstract:
- lang: eng
  text: 'The processes for manufacturing and operating modern technical products require
    expertise in multiple disciplines like mechanical engineer-ing, electrical engineering,
    and software engineering. Assessing the current condition and quality of these
    processes and the machines in-volved is challenging due to the inherent complexity
    of the products and the required expertise in multiple engineering domains. Globaliza-tion
    and increasing competition make it necessary to reduce production costs while
    at the same time ensuring high throughput and product quality. Without the ability
    to precisely assess the condition and quality of production processes and involved
    machines, taking action to steer these metrics is nearly impossible and results
    in unnecessary high production costs. In our previous publications, we introduced
    the concept of Key Performance Indicators (KPIs) for mechatronic systems as a
    concept to assess the condition and quality of products and production processes
    in a graspable yet substantial and efficient way. In this paper, we further refine
    our KPI concepts und evaluate them for two different use cases: we apply our KPI
    concept to a manufacturing process in the mechatronic system domain and an operation
    process in the food production domain. We provide detailed insights in how we
    applied our concepts within these domains and report about lessons learned. In
    addition, we provide a business case estimation for our soft-ware solution that
    assesses the KPIs of our food production domain example.'
author:
- first_name: Benedict
  full_name: Wohlers, Benedict
  id: '53786'
  last_name: Wohlers
- first_name: Stefan
  full_name: Dziwok, Stefan
  id: '3901'
  last_name: Dziwok
  orcid: http://orcid.org/0000-0002-8679-6673
- first_name: Faruk
  full_name: Pasic, Faruk
  id: '49576'
  last_name: Pasic
- first_name: Andre
  full_name: Lipsmeier, Andre
  last_name: Lipsmeier
- first_name: Matthias
  full_name: Becker, Matthias
  id: '4870'
  last_name: Becker
  orcid: https://orcid.org/0000-0003-2465-9347
citation:
  ama: Wohlers B, Dziwok S, Pasic F, Lipsmeier A, Becker M. Monitoring and Control
    of Production Processes based on Key Performance Indicators for Mechatronic Systems.
    <i>International Journal of Production Economics</i>. 2019.
  apa: Wohlers, B., Dziwok, S., Pasic, F., Lipsmeier, A., &#38; Becker, M. (2019).
    Monitoring and Control of Production Processes based on Key Performance Indicators
    for Mechatronic Systems. <i>International Journal of Production Economics</i>.
  bibtex: '@article{Wohlers_Dziwok_Pasic_Lipsmeier_Becker_2019, title={Monitoring
    and Control of Production Processes based on Key Performance Indicators for Mechatronic
    Systems}, journal={International Journal of Production Economics}, author={Wohlers,
    Benedict and Dziwok, Stefan and Pasic, Faruk and Lipsmeier, Andre and Becker,
    Matthias}, year={2019} }'
  chicago: Wohlers, Benedict, Stefan Dziwok, Faruk Pasic, Andre Lipsmeier, and Matthias
    Becker. “Monitoring and Control of Production Processes Based on Key Performance
    Indicators for Mechatronic Systems.” <i>International Journal of Production Economics</i>,
    2019.
  ieee: B. Wohlers, S. Dziwok, F. Pasic, A. Lipsmeier, and M. Becker, “Monitoring
    and Control of Production Processes based on Key Performance Indicators for Mechatronic
    Systems,” <i>International Journal of Production Economics</i>, 2019.
  mla: Wohlers, Benedict, et al. “Monitoring and Control of Production Processes Based
    on Key Performance Indicators for Mechatronic Systems.” <i>International Journal
    of Production Economics</i>, 2019.
  short: B. Wohlers, S. Dziwok, F. Pasic, A. Lipsmeier, M. Becker, International Journal
    of Production Economics (2019).
date_created: 2020-12-16T14:06:20Z
date_updated: 2022-01-06T06:54:36Z
department:
- _id: '241'
language:
- iso: eng
publication: International Journal of Production Economics
status: public
title: Monitoring and Control of Production Processes based on Key Performance Indicators
  for Mechatronic Systems
type: journal_article
user_id: '3901'
year: '2019'
...