---
_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. Production
Engineering and Management : Proceedings, 5th International Conference, October
1 and 2, 2015, Trieste, Italy. Hochschule Ostwestfalen-Lippe; 2015:163-174.'
apa: 'Scheideler, E., & 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, & Hochschule Ostwestfalen-Lippe
(Eds.), Production engineering and management : proceedings, 5th international
conference, October 1 and 2, 2015, Trieste, Italy (Issue 1, pp. 163–174).
Hochschule Ostwestfalen-Lippe.'
bjps: 'Scheideler E and Ahlemeyer-Stubbe A (2015) Data Mining: A Potential
Detector to Find Failure in Complex Components. In Padoano E et al. (eds), Production
Engineering and Management : Proceedings, 5th International Conference, October
1 and 2, 2015, Trieste, Italy. 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 Production Engineering
and Management : Proceedings, 5th International Conference, October 1 and 2, 2015,
Trieste, Italy, 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: Production engineering
and management : proceedings, 5th international conference, October 1 and 2, 2015,
Trieste, Italy, 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: 'Scheideler, Eva ; Ahlemeyer-Stubbe, Andrea: Data Mining:
A Potential Detector to Find Failure in Complex Components. In: Padoano,
E. ; Villmer, F.-J. ; Department of Production Engineering and Management
; Hochschule Ostwestfalen-Lippe
(Hrsg.): Production engineering and management : proceedings, 5th international
conference, October 1 and 2, 2015, Trieste, Italy. 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 Production engineering and management :
proceedings, 5th international conference, October 1 and 2, 2015, Trieste, Italy,
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.” Production Engineering and Management :
Proceedings, 5th International Conference, October 1 and 2, 2015, Trieste, Italy,
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: 'Scheideler, Eva/Ahlemeyer-Stubbe, Andrea: Data Mining: A Potential
Detector to Find Failure in Complex Components, in: Padoano, Elio u. a. (Hgg.):
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'
...
---
_id: '598'
abstract:
- lang: eng
text: "The aerospace sector is characterized by long product life cycles and a need
for lightweight design. Additive manufacturing is a technology that produces parts
layer by layer and thus enables the manufacturing of any complex parts at nearly
no extra costs. A topology optimization enhances the part’s\r\nperformance for
their special purpose. The results are often complex bionic structures that cannot
be produced with conventional manufacturing technologies. The paper analyzes how
the high potential of this technologycan be applied to aerospace parts. A topology
optimization will be conducted for an aircraft part explaining the crucial points
and a life cycle analysis examines the achieved sustainable improvements for the
aircraft’s life cycle.\r\n"
author:
- first_name: Andrea
full_name: Huxol, Andrea
id: '43559'
last_name: Huxol
- first_name: Franz-Josef
full_name: Villmer, Franz-Josef
id: '14290'
last_name: Villmer
citation:
ama: 'Huxol A, Villmer F-J. Hybrid Manufacturing Machines: Combining Additive and
Subtractive Manufacturing Technologies. In: Padoano E, Villmer F-J, Department
of Production Engineering and Management, eds. Production Engineering and Management.
Lemgo; 2015:207-218.'
apa: 'Huxol, A., & Villmer, F.-J. (2015). Hybrid Manufacturing Machines: Combining
Additive and Subtractive Manufacturing Technologies. In E. Padoano, F.-J. Villmer,
& Department of Production Engineering and Management (Eds.), Production
Engineering and Management (pp. 207–218). Lemgo.'
bjps: 'Huxol A and Villmer F-J (2015) Hybrid Manufacturing Machines: Combining
Additive and Subtractive Manufacturing Technologies. In Padoano E, Villmer F-J
and Department of Production Engineering and Management (eds), Production Engineering
and Management. Lemgo, pp. 207–218.'
chicago: 'Huxol, Andrea, and Franz-Josef Villmer. “Hybrid Manufacturing Machines:
Combining Additive and Subtractive Manufacturing Technologies.” In Production
Engineering and Management, edited by Elio Padoano, Franz-Josef Villmer, and
Department of Production Engineering and Management, 207–18. Lemgo, 2015.'
chicago-de: 'Huxol, Andrea und Franz-Josef Villmer. 2015. Hybrid Manufacturing Machines:
Combining Additive and Subtractive Manufacturing Technologies. In: Production
Engineering and Management, hg. von Elio Padoano, Franz-Josef Villmer, und
Department of Production Engineering and Management, 207–218. Lemgo.'
din1505-2-1: 'Huxol, Andrea ; Villmer, Franz-Josef: Hybrid Manufacturing
Machines: Combining Additive and Subtractive Manufacturing Technologies. In: Padoano, E. ; Villmer,
F.-J. ; Department of Production
Engineering and Management (Hrsg.): Production Engineering and Management.
Lemgo, 2015, S. 207–218'
havard: 'A. Huxol, F.-J. Villmer, Hybrid Manufacturing Machines: Combining Additive
and Subtractive Manufacturing Technologies, in: E. Padoano, F.-J. Villmer, Department
of Production Engineering and Management (Eds.), Production Engineering and Management,
Lemgo, 2015: pp. 207–218.'
ieee: 'A. Huxol and F.-J. Villmer, “Hybrid Manufacturing Machines: Combining Additive
and Subtractive Manufacturing Technologies,” in Production Engineering and
Management, Trieste, Italy, 2015, no. 1, pp. 207–218.'
mla: 'Huxol, Andrea, and Franz-Josef Villmer. “Hybrid Manufacturing Machines: Combining
Additive and Subtractive Manufacturing Technologies.” Production Engineering
and Management, edited by Elio Padoano et al., no. 1, 2015, pp. 207–18.'
short: 'A. Huxol, F.-J. Villmer, in: E. Padoano, F.-J. Villmer, Department of Production
Engineering and Management (Eds.), Production Engineering and Management, Lemgo,
2015, pp. 207–218.'
ufg: 'Huxol, Andrea/Villmer, Franz-Josef (2015): Hybrid Manufacturing Machines:
Combining Additive and Subtractive Manufacturing Technologies, in: Elio Padoano
et. al. (Hgg.): Production Engineering and Management, Lemgo, S. 207–218.'
van: 'Huxol A, Villmer F-J. Hybrid Manufacturing Machines: Combining Additive and
Subtractive Manufacturing Technologies. In: Padoano E, Villmer F-J, Department
of Production Engineering and Management, editors. Production Engineering and
Management. Lemgo; 2015. p. 207–18.'
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: 2019-02-19T07:26:35Z
date_updated: 2023-03-15T13:50:03Z
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:
- Additive manufacturing
- topology optimization
- aerospace
- life cycle costs
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: 207-218
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: 'Hybrid Manufacturing Machines: Combining Additive and Subtractive Manufacturing
Technologies'
type: conference
user_id: '45673'
year: 2015
...
---
_id: '599'
abstract:
- lang: eng
text: "Order picking has long been identified as the most labor costly and intensively
activity in warehouse management. The orders from the customers need to be fulfilled
tightly and timely. In order to keep the required high service level, the warehouse
has to increase the picking productivity under the constraints of limited capacity.
This paper concerns a man-togoods order picking system, in which the order pickers
have to drive with a pallet jack to the storage locations. Considering that the
orders are mostly small orders which consist of less lines, it is efficient to
combine severalsingle customer orders into one picking order. Under this circumstance,
this paper intends to answer the question of how customer orders should be grouped
into picking orders with the aim of minimizing the total travel length through
the warehouse. Consequently the productivity of the order picking system can be
improved. An optimization problem for order batching is introduced. The optimization
method of order batching is then proposed. Based on the simulation of different
scenarios of incoming orders, it can be concluded that the developed method is
effective in improving the productivity of the concerned order picking system.\r\n"
author:
- first_name: Li
full_name: Li, Li
id: '58482'
last_name: Li
- first_name: L.
full_name: Schulze, L.
last_name: Schulze
citation:
ama: 'Li L, Schulze L. Improving the Productivity of a Man-to-Goods Order Picking
System through Optimization of Order Batching. In: Padoano E, Villmer F-J, Department
of Production Engineering and Management, eds. Production Engineering and Management.
Lemgo; 2015:319-326.'
apa: Li, L., & Schulze, L. (2015). Improving the Productivity of a Man-to-Goods
Order Picking System through Optimization of Order Batching. In E. Padoano, F.-J.
Villmer, & Department of Production Engineering and Management (Eds.), Production
Engineering and Management (pp. 319–326). Lemgo.
bjps: Li L and Schulze L (2015) Improving the Productivity of a Man-to-Goods
Order Picking System through Optimization of Order Batching. In Padoano E, Villmer
F-J and Department of Production Engineering and Management (eds), Production
Engineering and Management. Lemgo, pp. 319–326.
chicago: Li, Li, and L. Schulze. “Improving the Productivity of a Man-to-Goods Order
Picking System through Optimization of Order Batching.” In Production Engineering
and Management, edited by Elio Padoano, Franz-Josef Villmer, and Department
of Production Engineering and Management, 319–26. Lemgo, 2015.
chicago-de: 'Li, Li und L. Schulze. 2015. Improving the Productivity of a Man-to-Goods
Order Picking System through Optimization of Order Batching. In: Production
Engineering and Management, hg. von Elio Padoano, Franz-Josef Villmer, und
Department of Production Engineering and Management, 319–326. Lemgo.'
din1505-2-1: 'Li, Li ; Schulze,
L.: Improving the Productivity of a Man-to-Goods Order Picking System through
Optimization of Order Batching. In: Padoano,
E. ; Villmer, F.-J. ; Department of Production Engineering and Management
(Hrsg.): Production Engineering and Management. Lemgo, 2015, S. 319–326'
havard: 'L. Li, L. Schulze, Improving the Productivity of a Man-to-Goods Order Picking
System through Optimization of Order Batching, in: E. Padoano, F.-J. Villmer,
Department of Production Engineering and Management (Eds.), Production Engineering
and Management, Lemgo, 2015: pp. 319–326.'
ieee: L. Li and L. Schulze, “Improving the Productivity of a Man-to-Goods Order
Picking System through Optimization of Order Batching,” in Production Engineering
and Management, Trieste, Italy, 2015, no. 1, pp. 319–326.
mla: Li, Li, and L. Schulze. “Improving the Productivity of a Man-to-Goods Order
Picking System through Optimization of Order Batching.” Production Engineering
and Management, edited by Elio Padoano et al., no. 1, 2015, pp. 319–26.
short: 'L. Li, L. Schulze, in: E. Padoano, F.-J. Villmer, Department of Production
Engineering and Management (Eds.), Production Engineering and Management, Lemgo,
2015, pp. 319–326.'
ufg: 'Li, Li/Schulze, L. (2015): Improving the Productivity of a Man-to-Goods
Order Picking System through Optimization of Order Batching, in: Elio Padoano
et. al. (Hgg.): Production Engineering and Management, Lemgo, S. 319–326.'
van: 'Li L, Schulze L. Improving the Productivity of a Man-to-Goods Order Picking
System through Optimization of Order Batching. In: Padoano E, Villmer F-J, Department
of Production Engineering and Management, editors. Production Engineering and
Management. Lemgo; 2015. p. 319–26.'
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: 2019-02-19T07:34:56Z
date_updated: 2023-03-15T13:50:03Z
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
last_name: Villmer
issue: '1'
keyword:
- Order picking
- man-to-goods
- order batching
- picking productivity
- genetic algorithm
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: 319-326
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: Improving the Productivity of a Man-to-Goods Order Picking System through Optimization
of Order Batching
type: conference
user_id: '45673'
year: 2015
...
---
_id: '589'
citation:
ama: Villmer F-J, Padoano E, Production Engineering and Management, eds. Production
Engineering and Management. Vol 10. Lemgo; 2014:301.
apa: Villmer, F.-J., Padoano, E., & Production Engineering and Management (Eds.).
(2014). Production Engineering and Management (Vol. 10, p. 301). Presented
at the 4th International Conference, Lemgo.
bjps: Villmer F-J, Padoano E and Production Engineering and Management (eds)
(2014) Production Engineering and Management. Lemgo.
chicago: Villmer, Franz-Josef, Elio Padoano, and Production Engineering and Management,
eds. Production Engineering and Management. Vol. 10. Schriftenreihe Logistik.
Lemgo, 2014.
chicago-de: Villmer, Franz-Josef, Elio Padoano und Production Engineering and Management,
Hrsg. 2014. Production Engineering and Management. Bd. 10. Schriftenreihe
Logistik. Lemgo.
din1505-2-1: 'Villmer, F.-J. ; Padoano, E. ; Production
Engineering and Management (Hrsg.): Production Engineering and Management,
Schriftenreihe Logistik. Bd. 10. Lemgo, 2014'
havard: F.-J. Villmer, E. Padoano, Production Engineering and Management, eds.,
Production Engineering and Management, Lemgo, 2014.
ieee: F.-J. Villmer, E. Padoano, and Production Engineering and Management, Eds.,
Production Engineering and Management, vol. 10. Lemgo, 2014, p. 301.
mla: Villmer, Franz-Josef, et al., editors. Production Engineering and Management.
Vol. 10, 2014, p. 301.
short: F.-J. Villmer, E. Padoano, Production Engineering and Management, eds., Production
Engineering and Management, Lemgo, 2014.
ufg: 'Villmer, Franz-Josef et. al. (Hgg.) (2014): Production Engineering
and Management (=Schriftenreihe Logistik 10), Lemgo.'
van: Villmer F-J, Padoano E, Production Engineering and Management, editors. Production
Engineering and Management. Lemgo; 2014. (Schriftenreihe Logistik; vol. 10).
conference:
end_date: 2014-09-26
location: Lemgo
name: 4th International Conference
start_date: 2014-09-25
corporate_editor:
- Production Engineering and Management
- Hochschule Ostwestfalen-Lippe
date_created: 2019-02-18T15:12:28Z
date_updated: 2023-03-15T13:50:02Z
ddc:
- '650'
department:
- _id: DEP1306
editor:
- first_name: Franz-Josef
full_name: Villmer, Franz-Josef
id: '14290'
last_name: Villmer
- first_name: Elio
full_name: Padoano, Elio
last_name: Padoano
file:
- access_level: open_access
content_type: application/pdf
creator: hka-zn8
date_created: 2019-03-13T08:33:58Z
date_updated: 2019-03-13T08:33:58Z
file_id: '724'
file_name: PEM 2014_Proceeding_V04.pdf
file_size: 8527360
relation: main_file
success: 1
file_date_updated: 2019-03-13T08:33:58Z
has_accepted_license: '1'
intvolume: ' 10'
language:
- iso: eng
oa: '1'
page: '301'
place: Lemgo
publication_identifier:
isbn:
- 978-3-941645-10-3
publication_status: published
related_material:
link:
- relation: table_of_contents
url: https://d-nb.info/1063109302/04
series_title: Schriftenreihe Logistik
status: public
title: Production Engineering and Management
type: conference_editor
user_id: '45673'
volume: 10
year: 2014
...
---
_id: '725'
citation:
ama: Padoano E, Villmer F-J, Production Engineering and Management, eds. Production
Engineering and Management. Vol 9. Lemgo; 2013:282.
apa: Padoano, E., Villmer, F.-J., & Production Engineering and Management (Eds.).
(2013). Production Engineering and Management (Vol. 9, p. 282). Presented
at the 3th international conference, Lemgo.
bjps: Padoano E, Villmer F-J and Production Engineering and Management (eds)
(2013) Production Engineering and Management. Lemgo.
chicago: Padoano, Elio, Franz-Josef Villmer, and Production Engineering and Management,
eds. Production Engineering and Management. Vol. 9. Schriftenreihe Logistik.
Lemgo, 2013.
chicago-de: Padoano, Elio, Franz-Josef Villmer und Production Engineering and Management,
Hrsg. 2013. Production Engineering and Management. Bd. 9. Schriftenreihe
Logistik. Lemgo.
din1505-2-1: 'Padoano, E. ; Villmer, F.-J. ; Production
Engineering and Management (Hrsg.): Production Engineering and Management,
Schriftenreihe Logistik. Bd. 9. Lemgo, 2013'
havard: E. Padoano, F.-J. Villmer, Production Engineering and Management, eds.,
Production Engineering and Management, Lemgo, 2013.
ieee: E. Padoano, F.-J. Villmer, and Production Engineering and Management, Eds.,
Production Engineering and Management, vol. 9. Lemgo, 2013, p. 282.
mla: Padoano, Elio, et al., editors. Production Engineering and Management.
Vol. 9, 2013, p. 282.
short: E. Padoano, F.-J. Villmer, Production Engineering and Management, eds., Production
Engineering and Management, Lemgo, 2013.
ufg: 'Padoano, Elio et. al. (Hgg.) (2013): Production Engineering and Management
(=Schriftenreihe Logistik 9), Lemgo.'
van: Padoano E, Villmer F-J, Production Engineering and Management, editors. Production
Engineering and Management. Lemgo; 2013. (Schriftenreihe Logistik; vol. 9).
conference:
end_date: 2013-09-27
location: Trieste, Italy
name: 3th international conference
start_date: 2013-09-26
corporate_editor:
- Production Engineering and Management
- Hochschule Ostwestfalen-Lippe
date_created: 2019-02-18T15:12:28Z
date_updated: 2023-03-15T13:50:09Z
ddc:
- '650'
department:
- _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
file:
- access_level: open_access
content_type: application/pdf
creator: hka-zn8
date_created: 2019-03-13T08:38:52Z
date_updated: 2019-03-13T08:38:52Z
file_id: '726'
file_name: PEM 2013_Proceedings_Druckversion.pdf
file_size: 8969103
relation: main_file
success: 1
file_date_updated: 2019-03-13T08:38:52Z
has_accepted_license: '1'
intvolume: ' 9'
language:
- iso: eng
oa: '1'
page: '282'
place: Lemgo
publication_identifier:
isbn:
- 978-3-941645-09-7
publication_status: published
series_title: Schriftenreihe Logistik
status: public
title: Production Engineering and Management
type: conference_editor
user_id: '45673'
volume: 9
year: 2013
...