Queueing Systems - Call for Papers on Queues in Operations Management
We invite submissions to a special issue on Queues in Operations Management.
- Queues in Operations Management (this opens in a new tab)
Closes March 1, 2024
The analysis of queueing models has long been instrumental in tackling operations management problems in a multitude of contexts, ranging from long-standing domains like healthcare and inventory systems, to novel business applications like the sharing economy and supply chains and logistics. The increasing availability of empirical data in the operation and management of service systems is also creating new opportunities for study in queueing theory.
This special issue seeks to attract research which relies on queueing models to yield significant managerial insight into an operational problem. Both analytical and empirical methodologies are welcome, so long as the work has a significant queueing-modelling component. Survey papers reviewing advances in the applications of queues to different operational domains are also welcome. Possible topics include the following:
- Data-driven/ learning algorithms and dealing with parameter uncertainty in queues
- Modelling and control of queueing models, including data-driven and reinforcement learning methods ‘Queueing Science’ studies focused on empirical methodology with clear operational insight
- Modelling and analysing strategic behaviour in queueing networks, ranging across classic game theoretic analyses to emerging problems such as understanding the impact of bounded rationality on system performance
- Optimal design of queueing models, including, for instance, the design of incentives, structures, costs and mechanisms
- Performance analysis of queueing networks inspired by operations management Interface of machine learning and queueing
- Staffing and scheduling problems
- Optimal experimental design in the context of queueing networks
Guest Editors:
Rouba Ibrahim
University College London
rouba.ibrahim@ucl.ac.uk (this opens in a new tab)
Harsha Honnappa
Purdue University
honnappa@purdue.edu (this opens in a new tab)