Validation of data fusion as a method for forecasting the regeneration workload for complex capital goods

Steffen C. Eickemeyer; Tim Borcherding; Sebastian Schäfer; Peter Nyhuis

doi:10.1007/s11740-013-0444-8

Validation of data fusion as a method for forecasting the regeneration workload for complex capital goods

Steffen C. Eickemeyer
, Tim Borcherding
, Sebastian Schäfer
, Peter Nyhuis

MTU Maintenance

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review

Abstract

The regeneration of complex capital goods is afflicted with a high degree of uncertainty. Neither the extent of the damage to the goods nor the resulting maintenance workload is known in advance, and that poses challenges for capacity planning. Data fusion in the form of Bayesian networks is used to prepare forecasts in order to estimate the workload in maintenance processes. The objective is to optimize the planability of the capacities required.

Originalsprache	Englisch
Seiten (von - bis)	131-139
Seitenumfang	9
Fachzeitschrift	Production Engineering
Jahrgang	7
Ausgabenummer	2-3
DOIs	https://doi.org/10.1007/s11740-013-0444-8
Publikationsstatus	Veröffentlicht - 1 Feb. 2013

ASJC Scopus Sachgebiete

Maschinenbau
Wirtschaftsingenieurwesen und Fertigungstechnik

Zugriff auf Dokument

10.1007/s11740-013-0444-8

Andere Dateien und Links

Link zur Publikation in Scopus

Sonderforschungsbereich 871/2, Teilprojekt D01: Kapazitätsplanung und -abstimmung bei unscharfen Belastungsinformationen
Nyhuis, P. (Projektleiter*in (Principal Investigator)) & Quirico, M. (Projektleiter*in (Principal Investigator))
1 Jan. 2014 → 31 Dez. 2017
Projekt: Forschung
Sonderforschungsbereich 871/2: Regeneration komplexer Investitionsgüter
Seume, J. R. (Projektleiter*in (Principal Investigator))
1 Jan. 2014 → 31 Dez. 2017
Projekt: Forschung

Dieses zitieren

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Validation of data fusion as a method for forecasting the regeneration workload for complex capital goods

Abstract

ASJC Scopus Sachgebiete

Zugriff auf Dokument

Andere Dateien und Links

Projekte

Sonderforschungsbereich 871/2, Teilprojekt D01: Kapazitätsplanung und -abstimmung bei unscharfen Belastungsinformationen

Sonderforschungsbereich 871/2: Regeneration komplexer Investitionsgüter

Dieses zitieren