Editorial: Queueing Models and Service Management — Integrating Theory, Practice, and Innovation

Abstract

As a Co-Editor-in-Chief, I am pleased to introduce our esteemed contributors, authors, and readers to Queueing Models and Service Management (QMSM), a journal dedicated to publishing rigorous, relevant, and impactful research that advances both the theory and application of queueing models in modern service systems.
Queueing theory has long provided a fundamental analytical framework for understanding congestion, delay, and resource allocation in service systems. Since the early foundational work on stochastic service processes, queueing models have evolved into a rich body of theory encompassing single-server systems, multi-server and many-server models, networks, priority systems, and queueing systems under time-varying environments. Core results such as Little’s Law and heavy-traffic approximations remain central to both theoretical research and practical performance evaluation.
Within the scholarly landscape, journals in operations research and applied probability have played a central role in advancing the theoretical foundations of queueing. Through their emphasis on probabilistic modeling, mathematical structure, and analytical rigor, this body of work has shaped the intellectual development of the field and continues to inspire new theoretical directions. This strong theoretical tradition has provided essential tools and insights for understanding stochastic service systems and remains a cornerstone of ongoing research in queueing.
At the same time, service systems have grown increasingly complex and diverse. Healthcare delivery, call centers, transportation systems, logistics platforms, cloud computing, and digital services all operate under uncertainty, variability, and congestion—conditions that naturally call for queueing-based analysis. In these settings, however, decision-makers are not only interested in theoretical properties of models but also in how queueing insights can inform service design, staffing, capacity planning, and operational control.
It is in this broader context that Queueing Models and Service Management (QMSM) defines its mission.