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Production Engineering

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01-04-2013 | Production Process

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

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

Published in: Production Engineering | Issue 2-3/2013

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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.

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Customer type (e.g. low-cost carrier, leasing company) distinguishes between business models that characterize various regeneration strategies.

Schuh G, Lorenz B (2009) TPM—eine Basis für die wertorientierte Instandhaltung. In: Reichel J, Müller G, Mandelartz J (eds) Betriebliche Instandhaltung, 1st edn. Springer, Berlin, p 76

Cigolini R, Fedele L, Garetti M, Macchi M (2008) Recent advances in maintenance and facility management. Prod Plan Control 19(4):279–286CrossRef

Horn W (2009) Dienstleistung Instandhaltung. In: Reichel J, Müller G, Mandelartz J (eds) Betriebliche Instandhaltung, 1st edn. Springer, Berlin, p 253CrossRef

Eickemeyer SC, Nyhuis P (2010) Capacity planning and coordination with fuzzy load information. Bus Rev Camb 16(1):259–264

Eickemeyer SC, Borcherding T, Nyhuis P (2012) Information fusion as a means of forecasting expenditures for regenerating complex investment goods. Int J Mech Ind Eng 6:179–182

Freund C (2010) Die Instandhaltung im Wandel. In: Schenk M (ed) Instandhaltung technischer systeme: methoden und Werkzeuge zur Gewährleistung eines sicheren und wirtschaftlichen Anlagenbetriebes, 1st edn. Springer, Berlin, p 17

Reményi C, Staudacher S (2012) Systematic simulation based approach for the identification and implementation of a scheduling rule in the aircraft engine maintenance. Int J Prod Econ (accepted for publication). doi:10.1016/j.ijpe.2012.10.022

Reményi C, Staudacher S, Becker H, Dinc S, Manejev R, Fichtelmann R (2011) Decentralized job-shop control for the maintenance of aircraft engines. In: Spath D (ed) Proceedings of the 21st ICPR international conference on production research, July 31—August 4, 2011, Stuttgart

Guide VDR Jr, Spencer MS (1997) Rough-cut capacity planning for remanufacturing firms. Prod Plan Control 8(3):237–244CrossRef

10.

Reményi C, Staudacher S, Holzheimer N, Schulz S (2011) Simulation of the maintenance process in an aircraft engine maintenance company. In: Duffie NA, DeVries MF (eds) Proceedings of the 44rd CIRP conference on manufacturing systems, June 1–3, 2011, Madison, Wisconsin/USA

11.

Wagner M (2009) Modellbasierte Arbeitskräfteplanung für stochastische Instandhaltungsereignisse in der zivilen Luftfahrt. Dissertation, Technical University of Berlin

12.

Eickemeyer SC, Goßmann D, Wesebaum S, Nyhuis P (2012) Entwicklung einer Schadensbibliothek für die Regeneration komplexer Investitionsgüter. Ind Manag 2:59–62

13.

Winston PH (1992) Artificial intelligence, 3rd edn. Addison-Wesley, Boston, p 5

14.

Azadegan A, Ghazinoory S, Samouei P (2011) Fuzzy logic in manufacturing: a review of literature and a specialized application. Int J Prod Econom 2:258–270CrossRef

15.

Novák V, Perfilieva I, Močkoř J (1999) Mathematical principles of fuzzy logic, 1st edn. Kluwer, Norvell, pp 1–12MATH

16.

Hopfield JJ (1988) Artificial neural networks. IEEE Trans Circuits Devices Mag 4:3–10CrossRef

17.

Graupe D (2007) Principles of artificial and neural networks, 2nd edn. World Scientific Publishing Co. Pte. Ltd., Singapore, p 1

18.

Büttner R (2009) Automatisierte Verhandlungen in Multi-Agenten-Systemen—Entwurf eines argumentationsbasierten Mechanismus für nur imperfekt beschreibbare Verhandlungsgegenstände. Dissertation, University of Hohenheim

19.

Richter MM (2000) Fallbasiertes Schließen. In: Görz G, Rollinger C-R, Schneeberger J (eds) Handbuch der Künstlichen Intelligenz, 3rd edn. Oldenbourg Wissenschaftsverlag, Munich, p 408

20.

Beierle C, Kern-Isberner G (2008) Methoden wissensbasierter Systeme—Grundlagen, Algorithmen, Anwendungen, 4th edn. Viehweg + Teubner, Wiesbaden, p 158

21.

Xu LD (1994/1995) Case based reasoning: a major paradigm of artificial intelligence. IEEE Potentials 5:10–13

22.

Akerkar R (2005) Introduction to artificial intelligence, 1st edn. Prenctice-Hall of India Private Limited, New Delhi, pp 234–237

23.

Alpaydin E (2008) Maschinelles Lernen, 1st edn. Oldenbourg Wissenschaftsverlag, München, p 53MATH

24.

Schiaffino S, Amandi A (2005) Intelligent user profiling. In: Brahmer M (ed) Artificial intelligence—an international perspective, 1st edn. Springer, Berlin, p 205

25.

Darwiche A (2010) Bayesian networks—what are Bayesian networks and why are their applications growing across all fields? Commun ACM 12:80–90CrossRef

26.

Koski T, Noble JM (2009) Bayesian networks—an introduction, 1st edn. Wiley, Chichester, p 21MATHCrossRef

27.

Heckerman D, Geiger D, Chickering DM (1995) Learning Bayesian networks: the combination of knowledge and statistical data. Mach Learn 20:197–243MATH

28.

http://www.norsys.com/netica.html. Accessed 20 July 2012

29.

Everitt B, Howell DC (2005) Encyclopedia of statistics in behavioral science, volume 1 (A-D), 1st edn. Wiley, New York, p 132fCrossRef

30.

Heckerman D (1997) Bayesian networks for data mining. Data Min Knowl Discov 1:79–119CrossRef

31.

Jain CL, Malehorn J (2005) Practical guide to business forecasting, 2nd edn. Institute of business forecast, New York, pp 210–213

32.

Kahn KB (1998) Revisiting top-down versus bottom-up forecasting. J Bus Forecast Methods Syst 2:14–19

33.

Schwarzkopf AB, Tersine RJ, Morris JS (1988) Top-down versus bottom-up forecasting strategies. Int J Prod Res 11:1833–1843CrossRef

34.

McNaught K, Chan A (2011) Bayesian networks in manufacturing. J Manuf Techn Manag 6:734–747CrossRef

Title: Validation of data fusion as a method for forecasting the regeneration workload for complex capital goods
Authors: Steffen C. Eickemeyer
Tim Borcherding
Sebastian Schäfer
Peter Nyhuis
Publication date: 01-04-2013
Publisher: Springer-Verlag
Published in: Production Engineering / Issue 2-3/2013
Print ISSN: 0944-6524
Electronic ISSN: 1863-7353
DOI: https://doi.org/10.1007/s11740-013-0444-8

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