IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v223y2009i3p233-250.html
   My bibliography  Save this article

A series—parallel redundant reliability system for cellular manufacturing design

Author

Listed:
  • N Safaei
  • R Tavakkoli-Moghaddam
  • F Sassani

Abstract

This paper presents a novel, multi-objective mixed-integer programming model for designing a cellular manufacturing system (CMS) that minimizes the total cost and maximizes the overall system reliability. In general, it is impossible to avoid production interruptions while handling machine breakdowns. In this situation, changing the process route dynamically can provide a quick response to meet production requirements. By assuming alternative process plans for operation—part requirements, the concept of the ‘reliable route’ proposed in the literature is extended. In a redundant reliability system with a series—parallel configuration, each reliable route is associated with an operation of a part (i.e. an operation—part) as a parallel subsystem. This route consists of a number of units or alternative machines allocated to cells in such a way that parts are processed with the maximum reliability for a given period of time. When an alternative machine breaks down, unprocessed parts are transferred to the next predetermined machine on the reliable route in order to complete their processes. While the reliable route approach increases the overall system reliability, the operational costs of the system also increase. To assess the present proposed model as a useful decision tool for the manager, various numerical examples are solved and analysed. Finally, the related computational results are reported.

Suggested Citation

  • N Safaei & R Tavakkoli-Moghaddam & F Sassani, 2009. "A series—parallel redundant reliability system for cellular manufacturing design," Journal of Risk and Reliability, , vol. 223(3), pages 233-250, September.
    • Handle: RePEc:sae:risrel:v:223:y:2009:i:3:p:233-250
    DOI: 10.1243/1748006XJRR212
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1243/1748006XJRR212
    Download Restriction: no
    File URL: https://libkey.io/10.1243/1748006XJRR212?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. Logendran, Rasaratnam & Talkington, Diane, 1997. "Analysis of cellular and functional manufacturing systems in the presence of machine breakdown," International Journal of Production Economics, Elsevier, vol. 53(3), pages 239-256, December.
    2. Safaei, N. & Saidi-Mehrabad, M. & Jabal-Ameli, M.S., 2008. "A hybrid simulated annealing for solving an extended model of dynamic cellular manufacturing system," European Journal of Operational Research, Elsevier, vol. 185(2), pages 563-592, March.
    3. Kuhn, Heinrich, 1997. "A dynamic lot sizing model with exponential machine breakdowns," European Journal of Operational Research, Elsevier, vol. 100(3), pages 514-536, August.
    4. Kacem, Imed & Chu, Chengbin, 2008. "Efficient branch-and-bound algorithm for minimizing the weighted sum of completion times on a single machine with one availability constraint," International Journal of Production Economics, Elsevier, vol. 112(1), pages 138-150, March.
    5. Diallo, Mohamadou & Pierreval, Henri & Quilliot, Alain, 2001. "Manufacturing cells design with flexible routing capability in presence of unreliable machines," International Journal of Production Economics, Elsevier, vol. 74(1-3), pages 175-182, December.
    Full references (including those not matched with items on IDEAS)

    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. Das, K. & Lashkari, R.S. & Sengupta, S., 2007. "Reliability consideration in the design and analysis of cellular manufacturing systems," International Journal of Production Economics, Elsevier, vol. 105(1), pages 243-262, January.
    2. Shabtay, Dvir, 2022. "Single-machine scheduling with machine unavailability periods and resource dependent processing times," European Journal of Operational Research, Elsevier, vol. 296(2), pages 423-439.
    3. Aidin Delgoshaei & Mohd Khairol Anuar Ariffin & Ahad Ali, 2017. "A multi-period scheduling method for trading-off between skilled-workers allocation and outsource service usage in dynamic CMS," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 997-1039, February.
    4. Kuldeep Lamba & Ravi Kumar & Shraddha Mishra & Shubhangini Rajput, 2020. "Sustainable dynamic cellular facility layout: a solution approach using simulated annealing-based meta-heuristic," Annals of Operations Research, Springer, vol. 290(1), pages 5-26, July.
    5. Harun Öztürk, 2019. "Modeling an inventory problem with random supply, inspection and machine breakdown," OPSEARCH, Springer;Operational Research Society of India, vol. 56(2), pages 497-527, June.
    6. Shabtay, Dvir & Zofi, Moshe, 2018. "Single machine scheduling with controllable processing times and an unavailability period to minimize the makespan," International Journal of Production Economics, Elsevier, vol. 198(C), pages 191-200.
    7. Ting Qu & Matthias Thürer & Junhao Wang & Zongzhong Wang & Huan Fu & Congdong Li & George Q. Huang, 2017. "System dynamics analysis for an Internet-of-Things-enabled production logistics system," International Journal of Production Research, Taylor & Francis Journals, vol. 55(9), pages 2622-2649, May.
    8. Kerem Bülbül & Safia Kedad-Sidhoum & Halil Şen, 2019. "Single-machine common due date total earliness/tardiness scheduling with machine unavailability," Journal of Scheduling, Springer, vol. 22(5), pages 543-565, October.
    9. Fatemeh Sabouhi & Ali Bozorgi-Amiri & Mohammad Moshref-Javadi & Mehdi Heydari, 2019. "An integrated routing and scheduling model for evacuation and commodity distribution in large-scale disaster relief operations: a case study," Annals of Operations Research, Springer, vol. 283(1), pages 643-677, December.
    10. Chung-Ho Su & Jen-Ya Wang, 2022. "A Branch-and-Bound Algorithm for Minimizing the Total Tardiness of Multiple Developers," Mathematics, MDPI, vol. 10(7), pages 1-24, April.
    11. Taş, Duygu & Gendreau, Michel & Jabali, Ola & Jans, Raf, 2019. "A capacitated lot sizing problem with stochastic setup times and overtime," European Journal of Operational Research, Elsevier, vol. 273(1), pages 146-159.
    12. Brahimi, Nadjib & Absi, Nabil & Dauzère-Pérès, Stéphane & Nordli, Atle, 2017. "Single-item dynamic lot-sizing problems: An updated survey," European Journal of Operational Research, Elsevier, vol. 263(3), pages 838-863.
    13. Jans, R.F. & Degraeve, Z., 2005. "Modeling Industrial Lot Sizing Problems: A Review," ERIM Report Series Research in Management ERS-2005-049-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    14. Kellerer, Hans & Kubzin, Mikhail A. & Strusevich, Vitaly A., 2009. "Two simple constant ratio approximation algorithms for minimizing the total weighted completion time on a single machine with a fixed non-availability interval," European Journal of Operational Research, Elsevier, vol. 199(1), pages 111-116, November.
    15. Jeang, Angus, 2012. "Simultaneous determination of production lot size and process parameters under process deterioration and process breakdown," Omega, Elsevier, vol. 40(6), pages 774-781.
    16. Tang, Loon Ching & Lee, Loo Hay, 2005. "A simple recovery strategy for economic lot scheduling problem: A two-product case," International Journal of Production Economics, Elsevier, vol. 98(1), pages 97-107, October.
    17. Safaei, Nima & Tavakkoli-Moghaddam, Reza, 2009. "Integrated multi-period cell formation and subcontracting production planning in dynamic cellular manufacturing systems," International Journal of Production Economics, Elsevier, vol. 120(2), pages 301-314, August.
    18. Tsarouhas, Panagiotis H., 2009. "Classification and calculation of primary failure modes in bread production line," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 551-557.
    19. Nai-Chieh Wei, 2013. "An Electromagnetism-Like Mechanism Method for Solving Dynamic Cell Formation Problems," Journal of Asian Scientific Research, Asian Economic and Social Society, vol. 3(10), pages 1022-1035, October.
    20. Asmaa Khoudi & Ali Berrichi, 2020. "Minimize total tardiness and machine unavailability on single machine scheduling problem: bi-objective branch and bound algorithm," Operational Research, Springer, vol. 20(3), pages 1763-1789, September.

    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:sae:risrel:v:223:y:2009:i:3:p:233-250. 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: SAGE Publications (email available below). General contact details of provider: .

    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.