Integrated production and maintenance planning in cyber-physical production systems

Martin Schreiber; Kilian Vernickel; Christoph Richter; Gunther Reinhart

doi:10.1016/j.procir.2019.02.095

Integrated production and maintenance planning in cyber-physical production systems

Martin Schreiber, Kilian Vernickel, Christoph Richter, Gunther Reinhart

Fraunhofer Institute for Casting, Composite and Processing Technology IGCV

Research output: Contribution to journal › Conference article › peer-review

20 Scopus citations

Abstract

Rising production costs and efficiency requirements are challenges for manufacturing companies. One possibility to cope with these challenges is to improve maintenance efficiency and effectiveness by integrating predictive maintenance tools into cyber-physical production systems. However, the integration of these tool information into production and maintenance planning systems in order to determine necessary maintenance tasks is one of the main challenges for manufacturing companies. Therefore, this paper presents an innovative system for an effective integrated production and maintenance planning in complex cyber-physical production systems using multi-criteria decision-making. A prototypical application is presented to demonstrate the feasibility of the approach.

Original language	English
Pages (from-to)	534-539
Number of pages	6
Journal	Procedia CIRP
Volume	79
DOIs	https://doi.org/10.1016/j.procir.2019.02.095
State	Published - 2019
Externally published	Yes
Event	12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2018 - Naples, Italy Duration: 18 Jul 2018 → 20 Jul 2018

Keywords

Maintenance planning
decision support system
multi-criteria decision making

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10.1016/j.procir.2019.02.095

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title = "Integrated production and maintenance planning in cyber-physical production systems",

abstract = "Rising production costs and efficiency requirements are challenges for manufacturing companies. One possibility to cope with these challenges is to improve maintenance efficiency and effectiveness by integrating predictive maintenance tools into cyber-physical production systems. However, the integration of these tool information into production and maintenance planning systems in order to determine necessary maintenance tasks is one of the main challenges for manufacturing companies. Therefore, this paper presents an innovative system for an effective integrated production and maintenance planning in complex cyber-physical production systems using multi-criteria decision-making. A prototypical application is presented to demonstrate the feasibility of the approach.",

keywords = "Maintenance planning, decision support system, multi-criteria decision making",

author = "Martin Schreiber and Kilian Vernickel and Christoph Richter and Gunther Reinhart",

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TY - JOUR

T1 - Integrated production and maintenance planning in cyber-physical production systems

AU - Schreiber, Martin

AU - Vernickel, Kilian

AU - Richter, Christoph

AU - Reinhart, Gunther

PY - 2019

Y1 - 2019

N2 - Rising production costs and efficiency requirements are challenges for manufacturing companies. One possibility to cope with these challenges is to improve maintenance efficiency and effectiveness by integrating predictive maintenance tools into cyber-physical production systems. However, the integration of these tool information into production and maintenance planning systems in order to determine necessary maintenance tasks is one of the main challenges for manufacturing companies. Therefore, this paper presents an innovative system for an effective integrated production and maintenance planning in complex cyber-physical production systems using multi-criteria decision-making. A prototypical application is presented to demonstrate the feasibility of the approach.

AB - Rising production costs and efficiency requirements are challenges for manufacturing companies. One possibility to cope with these challenges is to improve maintenance efficiency and effectiveness by integrating predictive maintenance tools into cyber-physical production systems. However, the integration of these tool information into production and maintenance planning systems in order to determine necessary maintenance tasks is one of the main challenges for manufacturing companies. Therefore, this paper presents an innovative system for an effective integrated production and maintenance planning in complex cyber-physical production systems using multi-criteria decision-making. A prototypical application is presented to demonstrate the feasibility of the approach.

KW - Maintenance planning

KW - decision support system

KW - multi-criteria decision making

UR - http://www.scopus.com/inward/record.url?scp=85065396080&partnerID=8YFLogxK

U2 - 10.1016/j.procir.2019.02.095

DO - 10.1016/j.procir.2019.02.095

M3 - Conference article

AN - SCOPUS:85065396080

SN - 2212-8271

VL - 79

SP - 534

EP - 539

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2018

Y2 - 18 July 2018 through 20 July 2018

ER -

Integrated production and maintenance planning in cyber-physical production systems

Abstract

Keywords

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