IDEAS home Printed from https://ideas.repec.org/a/apb/japsss/2016p96-106.html

Reliability and availability analysis of a manufacturing line system

Author

Listed:
  • Mehmet Savsar

    (Department of Industrial & Management Systems Engineering, Kuwait University, Kuwait City, Kuwait)

Abstract

Today manufacturing systems are highly automated and consist of several interlinked machines. These automated lines are subject to frequent failures, which affect system reliability and availability, as well as its productivity. In operation of such lines, it is necessary to have enough information on failure and repair data in order to be able to analyze system reliability and availability so that exact output rates could be estimated. Reliability also depends on the preventive maintenance operations. Therefore, it is also desirable to have appropriate analysis in order to see the effects of preventive maintenances on system availability. This paper presents a procedure for collecting appropriate data, analyzing it, and determining system reliability, availability, and productivity of manufacturing lines. Furthermore, procedures and models are presented to study the effects of preventive maintenances on system availability. A special case example is used to illustrate the analysis in detail. The procedures and the models presented in this paper should be useful for operations engineers in order to improve the productivity of their manufacturing lines.

Suggested Citation

  • Mehmet Savsar, 2016. "Reliability and availability analysis of a manufacturing line system," Journal of Applied and Physical Sciences, Prof. Vakhrushev Alexander, vol. 2(3), pages 96-106.
    • Handle: RePEc:apb:japsss:2016:p:96-106
    DOI: 10.20474/japs-2.3.5
    as

    Download full text from publisher

    File URL: https://tafpublications.com/platform/Articles/full-japs2.3.5.php
    Download Restriction: no
    File URL: https://tafpublications.com/gip_content/paper/japs-2.3.5.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.20474/japs-2.3.5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Heavey, C. & Papadopoulos, H. T. & Browne, J., 1993. "The throughput rate of multistation unreliable production lines," European Journal of Operational Research, Elsevier, vol. 68(1), pages 69-89, July.
    2. Stanley B. Gershwin & Irvin C. Schick, 1983. "Modeling and Analysis of Three-Stage Transfer Lines with Unreliable Machines and Finite Buffers," Operations Research, INFORMS, vol. 31(2), pages 354-380, April.
    3. Frederick S. Hillier & Kut C. So & Ronald W. Boling, 1993. "Notes: Toward Characterizing the Optimal Allocation of Storage Space in Production Line Systems with Variable Processing Times," Management Science, INFORMS, vol. 39(1), pages 126-133, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pattaraporn Thampradit, 2019. "Models in Enhancing English at Work for Private Enterprise Officers in Bangkok Metropolitan," The Journal of Social Sciences Research, Academic Research Publishing Group, vol. 5(2), pages 233-240, 02-2019.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Papadopoulos, H. T. & Heavey, C., 1996. "Queueing theory in manufacturing systems analysis and design: A classification of models for production and transfer lines," European Journal of Operational Research, Elsevier, vol. 92(1), pages 1-27, July.
    2. Papadopoulos, H. T. & Vidalis, M. I., 2001. "Minimizing WIP inventory in reliable production lines," International Journal of Production Economics, Elsevier, vol. 70(2), pages 185-197, March.
    3. Yarmand, Mohammad H. & Down, Douglas G., 2013. "Server allocation for zero buffer tandem queues," European Journal of Operational Research, Elsevier, vol. 230(3), pages 596-603.
    4. Elisa Gebennini & Andrea Grassi & Cesare Fantuzzi & Stanley Gershwin & Irvin Schick, 2013. "Discrete time model for two-machine one-buffer transfer lines with restart policy," Annals of Operations Research, Springer, vol. 209(1), pages 41-65, October.
    5. Chame, Anna & Tsallis, Constantino, 1990. "Criticality of the discrete N-vector ferromagnet in a cubic lattice with a free surface," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 165(1), pages 41-63.
    6. Suliman, S. M. A., 2000. "A mathematical model for a buffered two-stage manufacturing cell with an unreliable transfer device," International Journal of Production Economics, Elsevier, vol. 63(1), pages 69-81, January.
    7. Becker, Christian & Scholl, Armin, 2006. "A survey on problems and methods in generalized assembly line balancing," European Journal of Operational Research, Elsevier, vol. 168(3), pages 694-715, February.
    8. Hillier, Frederick S. & So, Kut C., 1996. "On the robustness of the bowl phenomenon," European Journal of Operational Research, Elsevier, vol. 89(3), pages 496-515, March.
    9. Lee, S. D. & Rung, J. M., 2000. "Production lot sizing in failure prone two-stage serial systems," European Journal of Operational Research, Elsevier, vol. 123(1), pages 42-60, May.
    10. Eva K. Lee & Siddhartha Maheshwary & Jacquelyn Mason & William Glisson, 2006. "Large-Scale Dispensing for Emergency Response to Bioterrorism and Infectious-Disease Outbreak," Interfaces, INFORMS, vol. 36(6), pages 591-607, December.
    11. S. Göttlich & S. Kühn & J. A. Schwarz & R. Stolletz, 2016. "Approximations of time-dependent unreliable flow lines with finite buffers," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 83(3), pages 295-323, June.
    12. Alexandros, Diamantidis C. & Chrissoleon, Papadopoulos T., 2009. "Exact analysis of a two-workstation one-buffer flow line with parallel unreliable machines," European Journal of Operational Research, Elsevier, vol. 197(2), pages 572-580, September.
    13. Shi, Chuan & Gershwin, Stanley B., 2009. "An efficient buffer design algorithm for production line profit maximization," International Journal of Production Economics, Elsevier, vol. 122(2), pages 725-740, December.
    14. Hatice Ucar Guner & Alper Murat & Ratna Babu Chinnam, 2024. "Performance analysis of a production system with two deteriorating machines and a finite buffer," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 32(3), pages 621-651, September.
    15. Konstantinos S. Boulas & Georgios D. Dounias & Chrissoleon T. Papadopoulos, 2023. "A hybrid evolutionary algorithm approach for estimating the throughput of short reliable approximately balanced production lines," Journal of Intelligent Manufacturing, Springer, vol. 34(2), pages 823-852, February.
    16. Chen, Chin-Tai & Yuan, John, 2004. "Transient throughput analysis for a series type system of machines in terms of alternating renewal processes," European Journal of Operational Research, Elsevier, vol. 155(1), pages 178-197, May.
    17. Chang, Ping-Chen & Lin, Yi-Kuei & Chiang, Yu-Min, 2019. "System reliability estimation and sensitivity analysis for multi-state manufacturing network with joint buffers––A simulation approach," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 103-109.
    18. H. T. Papadopoulos, 1998. "Analysis of production lines with Coxian service times and no intermediate buffers," Naval Research Logistics (NRL), John Wiley & Sons, vol. 45(7), pages 669-685, October.
    19. Kirkavak, Nureddin & Dincer, Cemal, 1999. "The general behavior of pull production systems: The allocation problems," European Journal of Operational Research, Elsevier, vol. 119(2), pages 479-494, December.
    20. Zhang, Yongjin & Zhao, Ming & Zhang, Yanjun & Pan, Ruilin & Cai, Jing, 2020. "Dynamic and steady-state performance analysis for multi-state repairable reconfigurable manufacturing systems with buffers," European Journal of Operational Research, Elsevier, vol. 283(2), pages 491-510.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:apb:japsss:2016:p:96-106. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Prof. Vakhrushev Alexander (email available below). General contact details of provider: https://tafpublications.com/platform/published_papers/11 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.