Operational Planning of Maintenance Measures by Means of Event-driven Simulation

Research output: Contribution to journalConference articleResearchpeer review

Authors

  • B. Denkena
  • S. Kröninga
  • K. Doreth
View graph of relations

Details

Original languageEnglish
Pages (from-to)61-66
Number of pages6
JournalProcedia CIRP
Volume3
Issue number1
Publication statusPublished - 12 Aug 2012
Event45th CIRP Conference on Manufacturing Systems, CMS 2012 - Athens, Greece
Duration: 16 May 201218 May 2012

Abstract

Modern manufacturing systems are characterized by an increasing complexity and high dynamic. This leads to new challenges for the operational planning of maintenance and production. This paper introduces a novel approach to an online simulation which enables a cost-optimized integration of condition-based maintenance measures in the production plan. The dynamic approach is implemented by means of event-driven simulation. It enables to depict the actual state of a complex manufacturing system, to simulate the future development of the production and thereby to evaluate different planning alternatives of maintenance.

Keywords

    Manufacturing systems modeling, Operational maintenance planning, Production planning

ASJC Scopus subject areas

Cite this

Operational Planning of Maintenance Measures by Means of Event-driven Simulation. / Denkena, B.; Kröninga, S.; Doreth, K.
In: Procedia CIRP, Vol. 3, No. 1, 12.08.2012, p. 61-66.

Research output: Contribution to journalConference articleResearchpeer review

Denkena, B, Kröninga, S & Doreth, K 2012, 'Operational Planning of Maintenance Measures by Means of Event-driven Simulation', Procedia CIRP, vol. 3, no. 1, pp. 61-66. https://doi.org/10.1016/j.procir.2012.07.012
Denkena B, Kröninga S, Doreth K. Operational Planning of Maintenance Measures by Means of Event-driven Simulation. Procedia CIRP. 2012 Aug 12;3(1):61-66. doi: 10.1016/j.procir.2012.07.012
Denkena, B. ; Kröninga, S. ; Doreth, K. / Operational Planning of Maintenance Measures by Means of Event-driven Simulation. In: Procedia CIRP. 2012 ; Vol. 3, No. 1. pp. 61-66.
Download
@article{041f8db501ac44a0a365edb696af5f35,
title = "Operational Planning of Maintenance Measures by Means of Event-driven Simulation",
abstract = "Modern manufacturing systems are characterized by an increasing complexity and high dynamic. This leads to new challenges for the operational planning of maintenance and production. This paper introduces a novel approach to an online simulation which enables a cost-optimized integration of condition-based maintenance measures in the production plan. The dynamic approach is implemented by means of event-driven simulation. It enables to depict the actual state of a complex manufacturing system, to simulate the future development of the production and thereby to evaluate different planning alternatives of maintenance.",
keywords = "Manufacturing systems modeling, Operational maintenance planning, Production planning",
author = "B. Denkena and S. Kr{\"o}ninga and K. Doreth",
note = "Funding information: The research work will be continued within the frame of the project “Model-based coordination of the operational maintenance and production planning and control” (project “MK-ProInst”, DE 447/81-1). The authors would like to thank the German Research Foundation for its financial and organizational support.; 45th CIRP Conference on Manufacturing Systems, CMS 2012 ; Conference date: 16-05-2012 Through 18-05-2012",
year = "2012",
month = aug,
day = "12",
doi = "10.1016/j.procir.2012.07.012",
language = "English",
volume = "3",
pages = "61--66",
number = "1",

}

Download

TY - JOUR

T1 - Operational Planning of Maintenance Measures by Means of Event-driven Simulation

AU - Denkena, B.

AU - Kröninga, S.

AU - Doreth, K.

N1 - Funding information: The research work will be continued within the frame of the project “Model-based coordination of the operational maintenance and production planning and control” (project “MK-ProInst”, DE 447/81-1). The authors would like to thank the German Research Foundation for its financial and organizational support.

PY - 2012/8/12

Y1 - 2012/8/12

N2 - Modern manufacturing systems are characterized by an increasing complexity and high dynamic. This leads to new challenges for the operational planning of maintenance and production. This paper introduces a novel approach to an online simulation which enables a cost-optimized integration of condition-based maintenance measures in the production plan. The dynamic approach is implemented by means of event-driven simulation. It enables to depict the actual state of a complex manufacturing system, to simulate the future development of the production and thereby to evaluate different planning alternatives of maintenance.

AB - Modern manufacturing systems are characterized by an increasing complexity and high dynamic. This leads to new challenges for the operational planning of maintenance and production. This paper introduces a novel approach to an online simulation which enables a cost-optimized integration of condition-based maintenance measures in the production plan. The dynamic approach is implemented by means of event-driven simulation. It enables to depict the actual state of a complex manufacturing system, to simulate the future development of the production and thereby to evaluate different planning alternatives of maintenance.

KW - Manufacturing systems modeling

KW - Operational maintenance planning

KW - Production planning

UR - http://www.scopus.com/inward/record.url?scp=84879191382&partnerID=8YFLogxK

U2 - 10.1016/j.procir.2012.07.012

DO - 10.1016/j.procir.2012.07.012

M3 - Conference article

AN - SCOPUS:84879191382

VL - 3

SP - 61

EP - 66

JO - Procedia CIRP

JF - Procedia CIRP

SN - 2212-8271

IS - 1

T2 - 45th CIRP Conference on Manufacturing Systems, CMS 2012

Y2 - 16 May 2012 through 18 May 2012

ER -