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Mean Sojourn Time in Multi Stage Fork-Join Network: The Effect of Synchronization and Structure

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  • Yonit Barron

    (Department of Statistics, University of Haifa, Haifa, Israel)

Abstract

Fork-Join queue networks (F-J) have received increasing attention during the last Decade, due to their ability to model parallel and distributed computer processing, supply chains and assembly systems. However, most research is focused on a single stage processing, and only scant work exists on F-J with two or more stages. In this paper, the author investigates (through simulation) the performance behavior of a multi-stage system; in particular, the performance of a synchronized system is compared to an unsynchronized system regarding three major factors: (1) the number of parallel tasks; (2) the number of serial stages and (3) the utilization.

Suggested Citation

  • 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.
    • Handle: RePEc:igg:joris0:v:6:y:2015:i:3:p:80-99
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    Cited by:

    1. 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.

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