Cyber-physical production management

Guenther Schuh; Till Potente; Christina Thomas; Annika Hauptvogel

doi:10.1007/978-3-642-41263-9_59

Cyber-physical production management

Guenther Schuh
, Till Potente
, Christina Thomas
, Annika Hauptvogel

RWTH Aachen University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

21 Scopus citations

Abstract

Today a high adherence to delivery dates is the main logistic target for manufacturing companies. To control the increasing complexity of production planning and control manufacturing companies use IT systems. However, the applied IT systems often do not provide a reliable forecast of delivery dates and thus affect the required adherence to delivery dates. The paper describes a cyber-physical approach to optimize the production planning and control towards a reliable detailed planning. Therefore, it is necessary to determine the deviations between the production schedule of the IT system and the production processes in reality. With the knowledge of the revealed deviations and their causes the process of production planning can be adjusted towards a more dependable high resolution production planning and control.

Original language	English
Title of host publication	Advances in Production Management Systems
Subtitle of host publication	Sustainable Production and Service Supply Chains - IFIP WG 5.7 International Conference, APMS 2013, Proceedings
Editors	Vittal Prabhu, Marco Taisch, Dimitris Kiritsis
Publisher	Springer Science and Business Media, LLC
Pages	477-484
Number of pages	8
ISBN (Print)	9783642412622
DOIs	https://doi.org/10.1007/978-3-642-41263-9_59
State	Published - 2013
Externally published	Yes
Event	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2013 - State College, United States Duration: 9 Sep 2013 → 12 Sep 2013

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	415
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Conference

Conference	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2013
Country/Territory	United States
City	State College
Period	9/09/13 → 12/09/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Production control
Production planning
Simulation model

Access to Document

10.1007/978-3-642-41263-9_59

Cite this

Schuh, G., Potente, T., Thomas, C., & Hauptvogel, A. (2013). Cyber-physical production management. In V. Prabhu, M. Taisch, & D. Kiritsis (Eds.), Advances in Production Management Systems: Sustainable Production and Service Supply Chains - IFIP WG 5.7 International Conference, APMS 2013, Proceedings (pp. 477-484). (IFIP Advances in Information and Communication Technology; Vol. 415). Springer Science and Business Media, LLC. https://doi.org/10.1007/978-3-642-41263-9_59

Schuh, Guenther ; Potente, Till ; Thomas, Christina et al. / Cyber-physical production management. Advances in Production Management Systems: Sustainable Production and Service Supply Chains - IFIP WG 5.7 International Conference, APMS 2013, Proceedings. editor / Vittal Prabhu ; Marco Taisch ; Dimitris Kiritsis. Springer Science and Business Media, LLC, 2013. pp. 477-484 (IFIP Advances in Information and Communication Technology).

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abstract = "Today a high adherence to delivery dates is the main logistic target for manufacturing companies. To control the increasing complexity of production planning and control manufacturing companies use IT systems. However, the applied IT systems often do not provide a reliable forecast of delivery dates and thus affect the required adherence to delivery dates. The paper describes a cyber-physical approach to optimize the production planning and control towards a reliable detailed planning. Therefore, it is necessary to determine the deviations between the production schedule of the IT system and the production processes in reality. With the knowledge of the revealed deviations and their causes the process of production planning can be adjusted towards a more dependable high resolution production planning and control.",

keywords = "Production control, Production planning, Simulation model",

author = "Guenther Schuh and Till Potente and Christina Thomas and Annika Hauptvogel",

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Schuh, G, Potente, T, Thomas, C & Hauptvogel, A 2013, Cyber-physical production management. in V Prabhu, M Taisch & D Kiritsis (eds), Advances in Production Management Systems: Sustainable Production and Service Supply Chains - IFIP WG 5.7 International Conference, APMS 2013, Proceedings. IFIP Advances in Information and Communication Technology, vol. 415, Springer Science and Business Media, LLC, pp. 477-484, IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2013, State College, United States, 9/09/13. https://doi.org/10.1007/978-3-642-41263-9_59

Cyber-physical production management. / Schuh, Guenther; Potente, Till; Thomas, Christina et al.
Advances in Production Management Systems: Sustainable Production and Service Supply Chains - IFIP WG 5.7 International Conference, APMS 2013, Proceedings. ed. / Vittal Prabhu; Marco Taisch; Dimitris Kiritsis. Springer Science and Business Media, LLC, 2013. p. 477-484 (IFIP Advances in Information and Communication Technology; Vol. 415).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Cyber-physical production management

AU - Schuh, Guenther

AU - Potente, Till

AU - Thomas, Christina

AU - Hauptvogel, Annika

N1 - Publisher Copyright: © IFIP International Federation for Information Processing 2013.

PY - 2013

Y1 - 2013

N2 - Today a high adherence to delivery dates is the main logistic target for manufacturing companies. To control the increasing complexity of production planning and control manufacturing companies use IT systems. However, the applied IT systems often do not provide a reliable forecast of delivery dates and thus affect the required adherence to delivery dates. The paper describes a cyber-physical approach to optimize the production planning and control towards a reliable detailed planning. Therefore, it is necessary to determine the deviations between the production schedule of the IT system and the production processes in reality. With the knowledge of the revealed deviations and their causes the process of production planning can be adjusted towards a more dependable high resolution production planning and control.

AB - Today a high adherence to delivery dates is the main logistic target for manufacturing companies. To control the increasing complexity of production planning and control manufacturing companies use IT systems. However, the applied IT systems often do not provide a reliable forecast of delivery dates and thus affect the required adherence to delivery dates. The paper describes a cyber-physical approach to optimize the production planning and control towards a reliable detailed planning. Therefore, it is necessary to determine the deviations between the production schedule of the IT system and the production processes in reality. With the knowledge of the revealed deviations and their causes the process of production planning can be adjusted towards a more dependable high resolution production planning and control.

KW - Production control

KW - Production planning

KW - Simulation model

UR - https://www.scopus.com/pages/publications/84978264382

U2 - 10.1007/978-3-642-41263-9_59

DO - 10.1007/978-3-642-41263-9_59

M3 - Conference contribution

AN - SCOPUS:84978264382

SN - 9783642412622

T3 - IFIP Advances in Information and Communication Technology

SP - 477

EP - 484

BT - Advances in Production Management Systems

A2 - Prabhu, Vittal

A2 - Taisch, Marco

A2 - Kiritsis, Dimitris

PB - Springer Science and Business Media, LLC

T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2013

Y2 - 9 September 2013 through 12 September 2013

ER -

Schuh G, Potente T, Thomas C, Hauptvogel A. Cyber-physical production management. In Prabhu V, Taisch M, Kiritsis D, editors, Advances in Production Management Systems: Sustainable Production and Service Supply Chains - IFIP WG 5.7 International Conference, APMS 2013, Proceedings. Springer Science and Business Media, LLC. 2013. p. 477-484. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-642-41263-9_59

Cyber-physical production management

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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