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Performance of merging lines with uneven buffer capacity allocation: the effects of unreliability under different inventory-related costs

Author

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  • Sabry Shaaban

    (ESC La Rochelle)

  • Rodrigo Romero-Silva

    (Universidad Panamericana
    Vrije Universiteit Amsterdam
    Amsterdan University of Applied Sciences)

Abstract

This simulation study investigates whether machine efficiency, mean time to failure (MTTF) and mean time to repair (MTTR) significantly affect the performance of uneven buffer capacity allocation patterns for merging lines. Also studied is the trade-off between increasing throughput via bigger buffers and their associated inventory-related costs, since previous studies have shown that higher overall buffer capacity and higher average inventory content result in higher throughput. Results suggest that an ascending buffer allocation pattern (concentrating buffer capacity towards the end of the line) produces higher throughput in shorter, more unreliable lines; whereas the balanced pattern shows better performance in longer, more reliable lines. Increasing average buffer capacity per station and/or having higher average buffer content was found to be more cost-effective in lines with lower machine inefficiency, shorter MTTF and MTTR, and longer lines. Results differed between reliable and unreliable lines since reliable lines were particularly penalised by buffer capacity investiment/maintenance costs due to a relatively low increase in throughput resulting from the addition of extra buffer capacity.

Suggested Citation

  • Sabry Shaaban & Rodrigo Romero-Silva, 2021. "Performance of merging lines with uneven buffer capacity allocation: the effects of unreliability under different inventory-related costs," 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. 29(4), pages 1253-1288, December.
  • Handle: RePEc:spr:cejnor:v:29:y:2021:i:4:d:10.1007_s10100-019-00670-9
    DOI: 10.1007/s10100-019-00670-9
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    References listed on IDEAS

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    1. Nahas, Nabil & Nourelfath, Mustapha & Gendreau, Michel, 2014. "Selecting machines and buffers in unreliable assembly/disassembly manufacturing networks," International Journal of Production Economics, Elsevier, vol. 154(C), pages 113-126.
    2. Tom Mcnamara & Sabry Shaaban & Sarah Hudson, 2016. "Fifty years of the bowl phenomenon," Post-Print hal-02010636, HAL.
    3. Yang Liu & Jingshan Li, 2010. "Split and merge production systems: performance analysis and structural properties," IISE Transactions, Taylor & Francis Journals, vol. 42(6), pages 422-434.
    4. Mark Hillier, 2013. "Designing unpaced production lines to optimize throughput and work-in-process inventory," IISE Transactions, Taylor & Francis Journals, vol. 45(5), pages 516-527.
    5. Sarah Hudson & Tom McNamara & Sabry Shaaban, 2015. "Unbalanced lines: where are we now?," International Journal of Production Research, Taylor & Francis Journals, vol. 53(6), pages 1895-1911, March.
    6. Erkut Sönmez & Alan Scheller-Wolf & Nicola Secomandi, 2017. "An Analytical Throughput Approximation for Closed Fork/Join Networks," INFORMS Journal on Computing, INFORMS, vol. 29(2), pages 251-267, May.
    7. Richard Conway & William Maxwell & John O. McClain & L. Joseph Thomas, 1988. "The Role of Work-in-Process Inventory in Serial Production Lines," Operations Research, INFORMS, vol. 36(2), pages 229-241, April.
    8. Yonit Barron, 2015. "Mean Sojourn Time in Multi Stage Fork-Join Network: The Effect of Synchronization and Structure," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 6(3), pages 80-99, July.
    9. Lau, Hon-Shiang, 1992. "On balancing variances of station processing times in unpaced lines," European Journal of Operational Research, Elsevier, vol. 61(3), pages 345-356, September.
    10. Rodrigo Romero-Silva & Sabry Shaaban, 2019. "Influence of unbalanced operation time means and uneven buffer allocation on unreliable merging assembly line efficiency," International Journal of Production Research, Taylor & Francis Journals, vol. 57(6), pages 1645-1666, March.
    11. Yuan, Xue-Ming & Liu, Liming, 2005. "Performance analysis of assembly systems with unreliable machines and finite buffers," European Journal of Operational Research, Elsevier, vol. 161(3), pages 854-871, March.
    12. Kalir, Adar A. & Sarin, Subhash C., 2009. "A method for reducing inter-departure time variability in serial production lines," International Journal of Production Economics, Elsevier, vol. 120(2), pages 340-347, August.
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