Customer equilibrium in a single-server system with virtual and system queues
From MaRDI portal
Publication:1640085
DOI10.1007/S11134-017-9538-XzbMath1388.90039OpenAlexW2728946944MaRDI QIDQ1640085
Publication date: 13 June 2018
Published in: Queueing Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11134-017-9538-x
Queueing theory (aspects of probability theory) (60K25) Queues and service in operations research (90B22) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20)
Related Items (3)
Designing a service system with price- and distance-sensitive demand: a case study in mining industry ⋮ Quandary of service logistics: fast or reliable? ⋮ On equilibrium threshold strategies when choosing between observable and unobservable queues
Cites Work
- Strategic bidding in an accumulating priority queue: equilibrium analysis
- A push-pull network with infinite supply of work
- On priority queues with impatient customers
- Finite-source \(M/M/S\) retrial queue with search for balking and impatient customers from the orbit
- To queue or not to queue: equilibrium behavior in queueing systems.
- The impact of retrials on call center performance
- Queues. A course in queueing theory
- Optimal Routing Among ⋅/M/1 Queues with Partial Information
- Optimal Entering Rules for a Customer with Wait Option at an M/G/1 Queue
- Rational Queueing
- On Customer Contact Centers with a Call-Back Option: Customer Decisions, Routing Rules, and System Design
- Optimal Priority-Purchasing and Pricing Decisions in Nonmonopoly and Monopoly Queues
- Congestion Tolls for Poisson Queuing Processes
- On the Advantage of Being the First Server
- Equilibrium Threshold Strategies: The Case of Queues with Priorities
- Contact Centers with a Call-Back Option and Real-Time Delay Information
- Equilibrium customer strategies and social-profit maximization in the single-server constant retrial queue
- The Regulation of Queue Size by Levying Tolls
This page was built for publication: Customer equilibrium in a single-server system with virtual and system queues