May 1, 2024
3 minute read
Queueing Theory, a branch of operations research, delves into the intricate world of waiting lines and queue systems, providing valuable insights into how organizations can optimize their processes. Its applications span a wide range of industries, from telecommunications to manufacturing, where understanding the behavior of queues is crucial for efficient resource allocation and decision-making.
Applications of Queueing Theory
Queueing Theory offers practical solutions to various real-world problems. It is applied in diverse sectors, including:
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Find a path to becoming a Queueing Theory. Learn more at:
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Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Queueing Theory.
Comprehensive and rigorous treatment of queueing theory. It covers a wide range of topics, including transient and steady-state analysis, heavy-traffic approximations, and queueing networks. The book is suitable for advanced undergraduate and graduate students.
Classic and comprehensive introduction to queueing theory for both students and practitioners. It covers a wide range of topics, including single-server and multi-server queues, priority queues, and queueing networks. The book is well-written and provides many examples and exercises.
Provides a rigorous treatment of queueing theory, covering both the theoretical foundations and advanced topics. It is written by Marcel Neuts, a renowned expert in the field of stochastic processes.
Provides a comprehensive and applied treatment of queueing theory for computer scientists. It covers a wide range of topics, including single-server and multi-server queues, priority queues, and queueing networks. The book is suitable for advanced undergraduate and graduate students, as well as practitioners.
Provides a comprehensive overview of stochastic processes and queueing theory, covering both the theoretical foundations and practical applications. It is written by Kurt Sigman, a leading expert in the field of applied probability.
Provides a comprehensive overview of queueing theory, covering both the theoretical foundations and practical applications. It is written by Pierre Brémaud, a leading expert in the field of queueing theory.
Provides a concise and accessible introduction to queueing theory for computer scientists. It covers the basic concepts of queueing theory, as well as applications to computer systems, such as modeling computer networks and scheduling algorithms.
Collection of essays on queueing theory by some of the leading experts in the field. The essays cover a wide range of topics, including the history of queueing theory, new developments in queueing theory, and applications of queueing theory to real-world problems. The book is suitable for advanced undergraduate and graduate students, as well as practitioners.
Focuses on the application of queueing theory to manufacturing systems, covering topics such as production planning, inventory control, and equipment utilization. It is written by Thomas Stevenson, an expert in the field of industrial engineering.
Focuses on the application of queueing theory to transportation systems, covering topics such as traffic flow analysis, vehicle scheduling, and infrastructure planning. It is written by George List, an expert in the field of transportation engineering.
Focuses on the application of queueing theory to healthcare systems, covering topics such as patient flow analysis, resource allocation, and capacity planning. It is written by David Goldsman, an expert in the field of healthcare operations management.
Focuses on the application of queueing theory to service systems, covering topics such as customer satisfaction, employee scheduling, and quality management. It is written by Michael Haight, an expert in the field of service operations management.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/xew5ft/queueing
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