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Handling Maintenance Projects with Matrix-Based Methods

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Emerging Trends in Computing, Informatics, Systems Sciences, and Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 151))

Abstract

Creating a maintenance plan for production and service processes can be handled as a special area of project planning, because the order of the tasks are negotiable in most cases, but the order of the operations within the tasks are fixed. In this paper we present an expert system which is capable of finding the optimal maintenance plan by applying risk based ranking of the tasks with consideration of time and resource constraints. Estimating reliabilities, theory of stochastic process and expression of measurement uncertainty are also applied and improved in order to handle decision errors and their consequences. The expert system determines when a given task should be accomplished and the time, cost and resource demands of the realization.

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References

  1. Rausand M (1998) Reliabilty centered maintenance. Reliab Eng Syst Saf 60:121–132

    Google Scholar 

  2. Khan FI, Haddara MM (2003) Risk-based maintenance (RBM): a quantitative approach for maintenance/inspection scheduling and planning. J Loss Prev Process Ind 16(6):561–573

    Article  Google Scholar 

  3. Kosztyán ZsT, Csizmadia T, Hegedűs Cs, Kovács Z (2009) A new approach to forecasting conformity treating measurement uncertainty in SPC, AVA (International congress on the aspects and vision of applied economics and informatics) (2009)

    Google Scholar 

  4. Kosztyán ZsT, Csizmadia T, Hegedűs Cs, Kovács Z (2010) Treating measurement uncertainty in complete conformity control system. Innovations and advances in computer sciences and engineering. Springer, Dordrecht, pp 79–84

    Google Scholar 

  5. Hegedűs Cs, Kosztyán ZsT (2010) Treating measurement uncertainty in maintenance related decisions. 38th ESReDA seminar on advanced maintenance modelling, Pécs

    Google Scholar 

  6. Pritsker AA (1966) GERT: Grafical evaluation and review technique, MEMORANDUM, RM-4973-NASA

    Google Scholar 

  7. Steward DV (1981) System analysis and management: structure, strategy and design. Petrocelli Books, New York

    Google Scholar 

  8. Danilovic M, Browning TR (2007) Managing complex product development projects with design structure matrices and domain mapping matrices. Int J Proj Manag 25:300–314

    Article  Google Scholar 

  9. Eppinger SD, Whitney DE, Smith RP, Gebala DA (1994) A model-based method for organizing tasks in product development. Res Eng Des 6:1–13

    Article  Google Scholar 

  10. Huang E, Chen S-J (2006) Estimation of project completion time and factors analysis for concurrent engineering project management: a simulation approach. Concurr Eng 14:329–341

    Article  Google Scholar 

  11. Yan H-S, Wang Z, Jiang MA (2002) Quantitative approach to the process modeling and planning in concurrent engineering. Concurr Eng10:97–111

    Article  Google Scholar 

  12. Khoo LP, Chen C-H, Jiao L (2003) A dynamic fuzzy decision support scheme for concurrent design planning. Concurr Eng 11:279–288

    Article  Google Scholar 

  13. Rick T, Horváth M, Bercsey T (2006) Design tasks scheduling using genetic algorithms. Periodica Politechnica Ser Mech Eng 50(1):37–51

    Google Scholar 

  14. Chen C-H, Ling SF, Chen W (2003) Project scheduling for collaborative product development using DSM. Int J Proj Manag 21:291–299

    Article  Google Scholar 

  15. Yassine AA, Falkenburg D, Chelst K (1999) Engineering design management: an information structure approach. Int J Prod Res 37:2957–2975

    Google Scholar 

  16. Tang D, Zhu R, Tang J, Xu R, He R (2009) Product design knowledge management based on design structure matrix. Adv Eng Inf

    Google Scholar 

  17. Browning TR, Eppinger SD (2002) Modeling impacts of process architecture on cost and schedule risk in product development. IEEE Trans Eng Manag 49(4):428–442

    Article  Google Scholar 

  18. Kosztyán ZsT, Kiss J (2010) Stochastic network planning method. advanced techniques in computing sciences and software engineering. Springer, Dordrecht, pp 263–268

    Google Scholar 

  19. Kiss J, Kosztyán ZsT (2009) Handling the specialties of Agile IT projects with a new planning method. CONFENIS (The enterprise information systems international conference on research and practical issues of EIS), Győr

    Google Scholar 

  20. Kiss J, Kosztyán ZsT (2009) The importance of logic planning in case of IT and innovation projects. AVA (International congress on the aspects and vision of applied economics and informatics), Debrecen

    Google Scholar 

  21. Hartmann S (1998) A competitive genetic algorithm for resource-constrained project scheduling. Naval Res Logist 45(7):733–750

    Article  MathSciNet  MATH  Google Scholar 

  22. CUDA (Compute Unified Device Architecture) Programming Guide 3.0 (2007). http://developer.download.nvidia.com/compute/cuda/3_0/toolkit/docs/NVIDIA_CUDA_ProgrammingGuide.pdf

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Author information

Authors and Affiliations

  1. Department of Management, University of Pannonia, Egyetem u. 10, Veszprém, H-8200, Hungary

    Zsolt T. Kosztyán, Csaba Hegedűs, Judit Kiss & Anikó Németh

Authors
  1. Zsolt T. Kosztyán
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  2. Csaba Hegedűs
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  3. Judit Kiss
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  4. Anikó Németh
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Corresponding author

Correspondence to Zsolt T. Kosztyán .

Editor information

Editors and Affiliations

  1. School of Engineering, University of Bridgeport, University Avenue 221, Bridgeport, 06604, Connecticut, USA

    Tarek Sobh

  2. School of Engineering, University of Bridgeport, University Avenue 221, Bridgeport, 06604, Connecticut, USA

    Khaled Elleithy

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Kosztyán, Z.T., Hegedűs, C., Kiss, J., Németh, A. (2013). Handling Maintenance Projects with Matrix-Based Methods. In: Sobh, T., Elleithy, K. (eds) Emerging Trends in Computing, Informatics, Systems Sciences, and Engineering. Lecture Notes in Electrical Engineering, vol 151. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3558-7_29

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  • DOI: https://doi.org/10.1007/978-1-4614-3558-7_29

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-3557-0

  • Online ISBN: 978-1-4614-3558-7

  • eBook Packages: EngineeringEngineering (R0)

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