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Performance evaluation of a carousel configured multiple products flexible manufacturing system using Petri net

Author

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  • Hafiz Zahid Nabi

    (University of Engineering and Technology)

  • Tauseef Aized

    (University of Engineering and Technology)

Abstract

This study presents a schematic approach to model, simulate and analyze the overall performance of an FMS, comprising a carousel layout surrounded by manufacturing and assembly cells capable to deliver a variety of multiple products. All manufacturing and assembly cells are consisting of multiple multifunctional production and assembly machines, served by material loading and unloading robots, connected through a material transporting conveyor. Inter-cellular and intra-cellular routing flexibility are employed in the system through production resources operational and breakdown modes. Colored Petri net tools are used to develop a compact, editable and deadlock-free flexible manufacturing system model reveals important information about dynamic behavior and system performance measures e.g.; throughput, mean cycle time, and work-in-process (WIP) with reference to material handling and supply system, production resources reliability and process execution input variables. Variation in input factors namely mean machining and assembly time, material loading and unloading time, number of operations between failure, repair time, parts inter-arrival time, conveyor speed and buffer capacity have shown a substantial effect on the system performance. The results indicate successful applicability of colored Petri net tools for modelling, simulation, and evaluation of carousel configured multiple products flexible manufacturing system. Further, the optimal solution represents a deep relationship between the different production modes and responses to maximize the performance of a carousel configured multiple products FMS.

Suggested Citation

  • Hafiz Zahid Nabi & Tauseef Aized, 2020. "Performance evaluation of a carousel configured multiple products flexible manufacturing system using Petri net," Operations Management Research, Springer, vol. 13(1), pages 109-129, June.
    • Handle: RePEc:spr:opmare:v:13:y:2020:i:1:d:10.1007_s12063-020-00151-2
    DOI: 10.1007/s12063-020-00151-2
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    References listed on IDEAS

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    1. Xinbo Zhang & Shuai Huang & Zhong Wan, 2018. "Stochastic programming approach to global supply chain management under random additive demand," Operational Research, Springer, vol. 18(2), pages 389-420, July.
    2. S.H.Sundarani & M. N. Qureshi, 2017. "Study Of Adoption Barriers For Flexible Manufacturing System In Industry," Working papers 2017-03-19, Voice of Research.
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    Cited by:

    1. Matthias Thürer & Mark Stevenson, 2021. "Material handling and order release control in high-variety make-to-order shops: an assessment by simulation," Operations Management Research, Springer, vol. 14(3), pages 494-506, December.

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