TY - JOUR
T1 - Queueing network models for the analysis and optimisation of material handling systems
T2 - a systematic literature review
AU - Amjath, Mohamed
AU - Kerbache, Laoucine
AU - Elomri, Adel
AU - Smith, James Mac Gregor
N1 - Publisher Copyright:
© The Author(s) 2023.
PY - 2024/6
Y1 - 2024/6
N2 - 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.
AB - 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.
KW - Literature review
KW - Mhe
KW - Mhs
KW - Optimisation
KW - Performance analysis
KW - Queueing networks
UR - http://www.scopus.com/inward/record.url?scp=85169935060&partnerID=8YFLogxK
U2 - 10.1007/s10696-023-09505-x
DO - 10.1007/s10696-023-09505-x
M3 - Article
AN - SCOPUS:85169935060
SN - 1936-6582
VL - 36
SP - 668
EP - 709
JO - Flexible Services and Manufacturing Journal
JF - Flexible Services and Manufacturing Journal
IS - 2
ER -