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Queueing network models for the analysis and optimisation of material handling systems: a systematic literature review

Author

Listed:
  • Mohamed Amjath

    (College of Science and Engineering, Hamad Bin Khalifa University)

  • Laoucine Kerbache

    (College of Science and Engineering, Hamad Bin Khalifa University
    HEC Paris)

  • Adel Elomri

    (College of Science and Engineering, Hamad Bin Khalifa University)

  • James MacGregor Smith

    (University of Massachusetts)

Abstract

Material handling systems (MHSs) are an integral part of logistics functions in manufacturing and service organizations. Material handling equipment (MHE) is considered the pivotal actor of any given MHS. Decisions ranging from the strategic level, such as selecting the proper MHE, capacity, and ownership (in-house or outsourcing) to operational level decisions such as resource allocation, scheduling, and routing of MHEs, are critical to the efficiency of an MHS. Industry practitioners use various methods and tools to evaluate these MHSs to find the best policies for their operations. This study identifies past works related to the performance evaluation and optimisation of MHSs using queueing network models. Moreover, this study provides a comprehensive analysis of identified research questions. The study methodology adopts a systematic literature review, bibliometric, and content analysis techniques proposed in similar research studies. This study provides material logistics scholars and practitioners with a thorough understanding of queueing networks as a modelling tool for analysing MHS applications in various domains.

Suggested Citation

  • Mohamed Amjath & Laoucine Kerbache & Adel Elomri & James MacGregor Smith, 2024. "Queueing network models for the analysis and optimisation of material handling systems: a systematic literature review," Flexible Services and Manufacturing Journal, Springer, vol. 36(2), pages 668-709, June.
    • Handle: RePEc:spr:flsman:v:36:y:2024:i:2:d:10.1007_s10696-023-09505-x
    DOI: 10.1007/s10696-023-09505-x
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