Management of reconfigurable production networks in order-based production

Johannes be Isa; Helge Epha; Stefan Braunreuther; Gunther Reinhart

doi:10.1007/978-3-319-99707-0_61

Management of reconfigurable production networks in order-based production

Johannes be Isa, Helge Epha, Stefan Braunreuther, Gunther Reinhart

Lehrstuhl für Betriebswissenschaften und Montagetechnik

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

3 Zitate (Scopus)

Abstract

High market volatility as well as increasing global competition in manufacturing lead to a growing demand for flexible and agile production networks. Advanced production systems in turn conduct high capital expenditure along with high investment risks. However, the latest developments of information and communication technology in production environments carry promising optimization opportunities. The approach of this paper is to apply reconfigurable production networks for scalable capacity and low capital expenditure by adapting “Production planning as a service”. Therefore, a genetic algorithm was applied to solve a complex optimization problem. At the end of this work, a prototypical application of the discussed subject is shown on a world-leading household appliance manufacturer.

Originalsprache	Englisch
Titel	Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings
Redakteure/-innen	Gregor von Cieminski, Gyu M. Lee, Dimitris Kiritsis, Ilkyeong Moon, Jinwoo Park
Herausgeber (Verlag)	Springer New York LLC
Seiten	490-497
Seitenumfang	8
ISBN (Print)	9783319997063
DOIs	https://doi.org/10.1007/978-3-319-99707-0_61
Publikationsstatus	Veröffentlicht - 2018
Veranstaltung	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018 - Seoul, Südkorea Dauer: 26 Aug. 2018 → 30 Aug. 2018

Publikationsreihe

Name	IFIP Advances in Information and Communication Technology
Band	536
ISSN (Print)	1868-4238

Konferenz

Konferenz	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018
Land/Gebiet	Südkorea
Ort	Seoul
Zeitraum	26/08/18 → 30/08/18

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10.1007/978-3-319-99707-0_61

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be Isa, J., Epha, H., Braunreuther, S., & Reinhart, G. (2018). Management of reconfigurable production networks in order-based production. in G. von Cieminski, G. M. Lee, D. Kiritsis, I. Moon, & J. Park (Hrsg.), Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings (S. 490-497). (IFIP Advances in Information and Communication Technology; Band 536). Springer New York LLC. https://doi.org/10.1007/978-3-319-99707-0_61

be Isa, Johannes ; Epha, Helge ; Braunreuther, Stefan et al. / Management of reconfigurable production networks in order-based production. Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. Hrsg. / Gregor von Cieminski ; Gyu M. Lee ; Dimitris Kiritsis ; Ilkyeong Moon ; Jinwoo Park. Springer New York LLC, 2018. S. 490-497 (IFIP Advances in Information and Communication Technology).

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title = "Management of reconfigurable production networks in order-based production",

abstract = "High market volatility as well as increasing global competition in manufacturing lead to a growing demand for flexible and agile production networks. Advanced production systems in turn conduct high capital expenditure along with high investment risks. However, the latest developments of information and communication technology in production environments carry promising optimization opportunities. The approach of this paper is to apply reconfigurable production networks for scalable capacity and low capital expenditure by adapting “Production planning as a service”. Therefore, a genetic algorithm was applied to solve a complex optimization problem. At the end of this work, a prototypical application of the discussed subject is shown on a world-leading household appliance manufacturer.",

keywords = "Mass-customization, Production planning, Reconfigurable production networks",

author = "{be Isa}, Johannes and Helge Epha and Stefan Braunreuther and Gunther Reinhart",

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year = "2018",

doi = "10.1007/978-3-319-99707-0_61",

language = "English",

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be Isa, J, Epha, H, Braunreuther, S & Reinhart, G 2018, Management of reconfigurable production networks in order-based production. in G von Cieminski, GM Lee, D Kiritsis, I Moon & J Park (Hrsg.), Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. IFIP Advances in Information and Communication Technology, Bd. 536, Springer New York LLC, S. 490-497, IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018, Seoul, Südkorea, 26/08/18. https://doi.org/10.1007/978-3-319-99707-0_61

Management of reconfigurable production networks in order-based production. / be Isa, Johannes; Epha, Helge; Braunreuther, Stefan et al.
Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. Hrsg. / Gregor von Cieminski; Gyu M. Lee; Dimitris Kiritsis; Ilkyeong Moon; Jinwoo Park. Springer New York LLC, 2018. S. 490-497 (IFIP Advances in Information and Communication Technology; Band 536).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Management of reconfigurable production networks in order-based production

AU - be Isa, Johannes

AU - Epha, Helge

AU - Braunreuther, Stefan

AU - Reinhart, Gunther

PY - 2018

Y1 - 2018

N2 - High market volatility as well as increasing global competition in manufacturing lead to a growing demand for flexible and agile production networks. Advanced production systems in turn conduct high capital expenditure along with high investment risks. However, the latest developments of information and communication technology in production environments carry promising optimization opportunities. The approach of this paper is to apply reconfigurable production networks for scalable capacity and low capital expenditure by adapting “Production planning as a service”. Therefore, a genetic algorithm was applied to solve a complex optimization problem. At the end of this work, a prototypical application of the discussed subject is shown on a world-leading household appliance manufacturer.

AB - High market volatility as well as increasing global competition in manufacturing lead to a growing demand for flexible and agile production networks. Advanced production systems in turn conduct high capital expenditure along with high investment risks. However, the latest developments of information and communication technology in production environments carry promising optimization opportunities. The approach of this paper is to apply reconfigurable production networks for scalable capacity and low capital expenditure by adapting “Production planning as a service”. Therefore, a genetic algorithm was applied to solve a complex optimization problem. At the end of this work, a prototypical application of the discussed subject is shown on a world-leading household appliance manufacturer.

KW - Mass-customization

KW - Production planning

KW - Reconfigurable production networks

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T3 - IFIP Advances in Information and Communication Technology

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BT - Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings

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A2 - Kiritsis, Dimitris

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be Isa J, Epha H, Braunreuther S, Reinhart G. Management of reconfigurable production networks in order-based production. in von Cieminski G, Lee GM, Kiritsis D, Moon I, Park J, Hrsg., Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. Springer New York LLC. 2018. S. 490-497. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-319-99707-0_61

Management of reconfigurable production networks in order-based production

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