---
_id: '9356'
abstract:
- lang: eng
text: In today’s manufacturing industry, enterprise-resource-planning (ERP) systems
reach their limit when planning and scheduling production subject to multiple
objectives and constraints. Advanced planning and scheduling (APS) systems provide
these capabilities and are an extension for ERP systems. However, when integrating
an APS and ERP system, the ERP data frequently lacks quality, hindering the APS
system from working as required. This paper introduces a data quality (DQ) assessment
framework that employs a Bayesian Network (BN) to perform quick DQ assessments
based on expert interviews and DQ measurements with actual ERP data. We explain
the BN’s functionality, design, and validation and show how using the perceived
DQ of experts and a semi-supervised learning algorithm improves the BN’s predictions
over time. We discuss applying our framework in an APS system implementation project
involving an APS system provider and a medium-sized manufacturer of hydraulic
cylinders. Despite considering the DQ assessment framework in such a specific
context, it is not restricted to a particular domain. We close by discussing the
framework’s limits, particularly the BN as a DQ assessment methodology and future
works to improve its performance.
author:
- first_name: Jan-Phillip
full_name: Herrmann, Jan-Phillip
id: '75846'
last_name: Herrmann
- first_name: Sven
full_name: Tackenberg, Sven
id: '71470'
last_name: Tackenberg
- first_name: Elio
full_name: Padoano, Elio
last_name: Padoano
- first_name: Jörg
full_name: Hartlief, Jörg
last_name: Hartlief
- first_name: Jens
full_name: ' Rautenstengel, Jens'
last_name: ' Rautenstengel'
- first_name: Christine
full_name: Loeser, Christine
last_name: Loeser
- first_name: 'Jörg '
full_name: 'Böhme, Jörg '
last_name: Böhme
citation:
ama: Herrmann JP, Tackenberg S, Padoano E, et al. An ERP Data Quality Assessment
Framework for the Implementation of an APS system using Bayesian Networks. Procedia
Computer Science. 2022;200:194-204. doi:https://doi.org/10.1016/j.procs.2022.01.218
apa: Herrmann, J.-P., Tackenberg, S., Padoano, E., Hartlief, J., Rautenstengel,
J., Loeser, C., & Böhme, J. (2022). An ERP Data Quality Assessment Framework
for the Implementation of an APS system using Bayesian Networks. Procedia Computer
Science, 200, 194–204. https://doi.org/10.1016/j.procs.2022.01.218
bjps: Herrmann J-P et al. (2022) An ERP Data Quality Assessment Framework
for the Implementation of an APS System Using Bayesian Networks. Procedia Computer
Science 200, 194–204.
chicago: 'Herrmann, Jan-Phillip, Sven Tackenberg, Elio Padoano, Jörg Hartlief, Jens Rautenstengel,
Christine Loeser, and Jörg Böhme. “An ERP Data Quality Assessment Framework for
the Implementation of an APS System Using Bayesian Networks.” Procedia Computer
Science 200 (2022): 194–204. https://doi.org/10.1016/j.procs.2022.01.218.'
chicago-de: 'Herrmann, Jan-Phillip, Sven Tackenberg, Elio Padoano, Jörg Hartlief,
Jens Rautenstengel, Christine Loeser und Jörg Böhme. 2022. An ERP Data Quality
Assessment Framework for the Implementation of an APS system using Bayesian Networks.
Procedia Computer Science 200: 194–204. doi:https://doi.org/10.1016/j.procs.2022.01.218,
.'
din1505-2-1: 'Herrmann, Jan-Phillip
; Tackenberg, Sven ; Padoano,
Elio ; Hartlief, Jörg ; Rautenstengel, Jens ; Loeser,
Christine ; Böhme, Jörg :
An ERP Data Quality Assessment Framework for the Implementation of an APS system
using Bayesian Networks. In: Procedia Computer Science Bd. 200, Elsevier
(2022), S. 194–204'
havard: J.-P. Herrmann, S. Tackenberg, E. Padoano, J. Hartlief, J. Rautenstengel,
C. Loeser, J. Böhme, An ERP Data Quality Assessment Framework for the Implementation
of an APS system using Bayesian Networks, Procedia Computer Science. 200 (2022)
194–204.
ieee: 'J.-P. Herrmann et al., “An ERP Data Quality Assessment Framework for
the Implementation of an APS system using Bayesian Networks,” Procedia Computer
Science, vol. 200, pp. 194–204, 2022, doi: https://doi.org/10.1016/j.procs.2022.01.218.'
mla: Herrmann, Jan-Phillip, et al. “An ERP Data Quality Assessment Framework for
the Implementation of an APS System Using Bayesian Networks.” Procedia Computer
Science, vol. 200, 2022, pp. 194–204, https://doi.org/10.1016/j.procs.2022.01.218.
short: J.-P. Herrmann, S. Tackenberg, E. Padoano, J. Hartlief, J. Rautenstengel,
C. Loeser, J. Böhme, Procedia Computer Science 200 (2022) 194–204.
ufg: 'Herrmann, Jan-Phillip u. a.: An ERP Data Quality Assessment Framework
for the Implementation of an APS system using Bayesian Networks, in: Procedia
Computer Science 200 (2022), S. 194–204.'
van: Herrmann JP, Tackenberg S, Padoano E, Hartlief J, Rautenstengel J, Loeser
C, et al. An ERP Data Quality Assessment Framework for the Implementation of an
APS system using Bayesian Networks. Procedia Computer Science. 2022;200:194–204.
date_created: 2023-01-25T12:00:32Z
date_updated: 2024-08-06T11:45:41Z
department:
- _id: DEP7020
doi: https://doi.org/10.1016/j.procs.2022.01.218
intvolume: ' 200'
keyword:
- Data Quality Assessment
- Advanced Planning
- Scheduling
- Bayesian Network
- Enterprise Resource Planning
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.sciencedirect.com/science/article/pii/S1877050922002277
oa: '1'
page: 194-204
publication: Procedia Computer Science
publication_identifier:
issn:
- '1877-0509 '
publication_status: published
publisher: Elsevier
quality_controlled: '1'
status: public
title: An ERP Data Quality Assessment Framework for the Implementation of an APS system
using Bayesian Networks
type: journal_article
user_id: '83781'
volume: 200
year: '2022'
...
---
_id: '588'
abstract:
- lang: eng
text: "While common measurement techniques like gloss or color measurement are widely
used in industry for quality assessment of furniture high gloss surfaces, they
indicate only a weak correlation to the quality perceived by the customer. Topography
based approaches achieve higher correlation to human perception but are often
based on linear measurement which cannot be applied for an overall assessment
of larger surfaces. Thus an algorithm was developed to calculate a specific value
based on topographic features, such as orange peel, within the research project
‘Development of a comprehensive quality concept for furniture high gloss surfaces’,
funded by the federal Ministry of Education and Research. For the evaluation of
short waved structures on furniture high gloss surfaces the ratio of hill height
to hill area was chosen. This parameter proves to be applicable for an evaluation
of the extent of a single.\r\n"
author:
- first_name: Andrea
full_name: Huxol, Andrea
id: '43559'
last_name: Huxol
- first_name: Adrian
full_name: Riegel, Adrian
id: '14647'
last_name: Riegel
- first_name: Kerstin
full_name: Dekomien, Kerstin
id: '59843'
last_name: Dekomien
citation:
ama: 'Huxol A, Riegel A, Dekomien K. Development of an Algorithm for Measuring the
Quality of High Gloss Surfaces Correlated to Human Perception. In: Padoano E,
Villmer F-J, Department of Production Engineering and Management, eds. Production
Engineering and Management. Lemgo; 2015:99-110.'
apa: Huxol, A., Riegel, A., & Dekomien, K. (2015). Development of an Algorithm
for Measuring the Quality of High Gloss Surfaces Correlated to Human Perception.
In E. Padoano, F.-J. Villmer, & Department of Production Engineering and Management
(Eds.), Production Engineering and Management (pp. 99–110). Lemgo.
bjps: Huxol A, Riegel A and Dekomien K (2015) Development of an Algorithm
for Measuring the Quality of High Gloss Surfaces Correlated to Human Perception.
In Padoano E, Villmer F-J and Department of Production Engineering and Management
(eds), Production Engineering and Management. Lemgo, pp. 99–110.
chicago: Huxol, Andrea, Adrian Riegel, and Kerstin Dekomien. “Development of an
Algorithm for Measuring the Quality of High Gloss Surfaces Correlated to Human
Perception.” In Production Engineering and Management, edited by Elio Padoano,
Franz-Josef Villmer, and Department of Production Engineering and Management,
99–110. Lemgo, 2015.
chicago-de: 'Huxol, Andrea, Adrian Riegel und Kerstin Dekomien. 2015. Development
of an Algorithm for Measuring the Quality of High Gloss Surfaces Correlated to
Human Perception. In: Production Engineering and Management, hg. von Elio
Padoano, Franz-Josef Villmer, und Department of Production Engineering and Management,
99–110. Lemgo.'
din1505-2-1: 'Huxol, Andrea ; Riegel, Adrian ; Dekomien,
Kerstin: Development of an Algorithm for Measuring the Quality of High
Gloss Surfaces Correlated to Human Perception. In: Padoano,
E. ; Villmer, F.-J. ; Department of Production Engineering and Management
(Hrsg.): Production Engineering and Management. Lemgo, 2015, S. 99–110'
havard: 'A. Huxol, A. Riegel, K. Dekomien, Development of an Algorithm for Measuring
the Quality of High Gloss Surfaces Correlated to Human Perception, in: E. Padoano,
F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production
Engineering and Management, Lemgo, 2015: pp. 99–110.'
ieee: A. Huxol, A. Riegel, and K. Dekomien, “Development of an Algorithm for Measuring
the Quality of High Gloss Surfaces Correlated to Human Perception,” in Production
Engineering and Management, Trieste, Italy, 2015, no. 1, pp. 99–110.
mla: Huxol, Andrea, et al. “Development of an Algorithm for Measuring the Quality
of High Gloss Surfaces Correlated to Human Perception.” Production Engineering
and Management, edited by Elio Padoano et al., no. 1, 2015, pp. 99–110.
short: 'A. Huxol, A. Riegel, K. Dekomien, in: E. Padoano, F.-J. Villmer, Department
of Production Engineering and Management (Eds.), Production Engineering and Management,
Lemgo, 2015, pp. 99–110.'
ufg: 'Huxol, Andrea et. al. (2015): Development of an Algorithm for Measuring
the Quality of High Gloss Surfaces Correlated to Human Perception, in: Elio Padoano
et. al. (Hgg.): Production Engineering and Management, Lemgo, S. 99–110.'
van: 'Huxol A, Riegel A, Dekomien K. Development of an Algorithm for Measuring the
Quality of High Gloss Surfaces Correlated to Human Perception. In: Padoano E,
Villmer F-J, Department of Production Engineering and Management, editors. Production
Engineering and Management. Lemgo; 2015. p. 99–110.'
conference:
end_date: 2015-10-02
location: Trieste, Italy
name: Proceedings5th International Conference
start_date: 2015-10-01
corporate_editor:
- Department of Production Engineering and Management
- Hochschule Ostwestfalen-Lippe
date_created: 2019-02-18T15:13:34Z
date_updated: 2023-03-15T13:50:02Z
department:
- _id: DEP1306
editor:
- first_name: Elio
full_name: Padoano, Elio
last_name: Padoano
- first_name: Franz-Josef
full_name: Villmer, Franz-Josef
last_name: Villmer
issue: '1'
keyword:
- High gloss
- surface measurement
- topographic features
- quality assessment
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: 99-110
place: Lemgo
publication: Production Engineering and Management
publication_identifier:
isbn:
- 978-3-941645-11-0
publication_status: published
related_material:
link:
- relation: contains
url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_Tagung_zusammen2015.pdf
status: public
title: Development of an Algorithm for Measuring the Quality of High Gloss Surfaces
Correlated to Human Perception
type: conference
user_id: '45673'
year: 2015
...