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Analyzing the productivity of maintenance systems using system dynamics modeling method

Author

Listed:
  • Esmaeil Esmaeili

    (Sharif University of Technology)

  • Hasan Karimian

    (Amirkabir University of Technology)

  • Mohammad Najjartabar Bisheh

    (Kansas State University)

Abstract

Achievement of industries in production and offering products depends on different factors like having an appropriate maintenance system. This issue should be reached through the most appropriate and practical methods. In this study, based on how the external parameters would influence the productivity of a maintenance system the researcher aims at designing a dynamic system model to analyze the productivity of a maintenance system using acquired information from a car device company by determination of the percentage of parameters and indexes and their influence on maintenance system productivity. The proposed model is simulated for a system with parameters of precise value according to fixed and variable maintenance policies which the results are represented. The results of different policies described by using computerized simulation of the prepared model on VENSIM software. The time horizon of the systems can be considered from several years to several decades. This research considered 12 weeks for analyzing the system. This time was specified by consultation with experts in the first session of modeling. In such environment a model of productivity evaluation and operation of maintenance seems required that in this research by analyzing influential factors on maintenance system productivity of a factory and by means of acquired samples, it was possible to measure the ratio of maintenance system operation condition according to the posed indexes and their influences on productivity operation. This situation shows that to the extent that positive indexes in the diagram are higher to the same extent maintenance system productivity of company increases.

Suggested Citation

  • Esmaeil Esmaeili & Hasan Karimian & Mohammad Najjartabar Bisheh, 2019. "Analyzing the productivity of maintenance systems using system dynamics modeling method," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(2), pages 201-211, April.
    • Handle: RePEc:spr:ijsaem:v:10:y:2019:i:2:d:10.1007_s13198-018-0754-5
    DOI: 10.1007/s13198-018-0754-5
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    References listed on IDEAS

    as
    1. Hipkin, I. B. & De Cock, C., 2000. "TQM and BPR: lessons for maintenance management," Omega, Elsevier, vol. 28(3), pages 277-292, June.
    2. Lov Kumar & Mukesh Kumar & Santanu Ku. Rath, 2017. "Maintainability prediction of web service using support vector machine with various kernel methods," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 205-222, June.
    3. Lei Zhang & Yifan Zhou & Chuanhui Huang, 2017. "An approximate hybrid approach to maintenance optimisation for a system with multistate components," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 189-196, March.
    4. John D. Sterman & Nelson P. Repenning & Fred Kofman, 1997. "Unanticipated Side Effects of Successful Quality Programs: Exploring a Paradox of Organizational Improvement," Management Science, INFORMS, vol. 43(4), pages 503-521, April.
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    Cited by:

    1. Rajesh Saha & Abdullahil Azeem & Kazi Wahadul Hasan & Syed Mithun Ali & Sanjoy Kumar Paul, 2021. "Integrated economic design of quality control and maintenance management: Implications for managing manufacturing process," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(2), pages 263-280, April.

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