Queueing Analysis and Stochastic Simulation in Logistics

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 227

Special Issue Editors


E-Mail Website
Guest Editor
Department of Informatics, Modeling, Electronics and System Engineering, University of Calabria, 87036 Rende (CS), Italy
Interests: queueing systems; discrete-event simulation; simulation-based optimization; logistics

E-Mail Website
Guest Editor
Department of Informatics, Modeling, Electronics and System Engineering, University of Calabria, 87036 Rende (CS), Italy
Interests: queueing systems; discrete-event simulation; simulation-based optimization; logistics

Special Issue Information

Dear Colleagues,

With the introduction of sophisticated information-based technology, the complexity of modern logistics systems has gone up a notch and pushed efficiency towards the need of a greater organization uphill. Timely-fed resource allocation and activity scheduling for both material flows and document flows call for renewed research efforts to keep operations lean and processes congestion-free. Queueing/Simulation models are the natural choice for capturing the effect of stochastic events and activity duration under parallelism, synchronization, mutual exclusion, resource sharing and other operational policies. Improving the level of accuracy for analytically solved queueing stations and networks as well as the level of detail of discrete-event simulation models are two synergic objectives of increasing interest for Operations Researchers and Data Scientists.

The aim of this special issue is to collect contributions in the theory and practice of queueing/simulation models and solution methods developed for logistics systems. Advances on computational mathematics for queueing networks and input-output data from event-based simulation are especially welcome.

Dr. Pasquale Legato
Dr. Rina Mary Mazza
Guest Editors

Manuscript Submission Information

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Keywords

  • queueing stations and networks
  • exact/approximate analysis of queueing models
  • discrete-event simulation
  • input data analysis in stochastic simulation
  • output results evaluation in stochastic simulation
  • stochastic job-shop systems
  • logistics in manufacturing
  • logistics in warehousing
  • logistics in transportation
  • logistics in ports
  • logistics in container terminals

Published Papers

This special issue is now open for submission.
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