Single facility due date setting with multiple customer classes
Management Science
Management Science
Improving Service by Informing Customers About Anticipated Delays
Management Science
Management Science
State space collapse with application to heavy traffic limits for multiclass queueing networks
Queueing Systems: Theory and Applications
Two-Class Priority Queueing System with State-Dependent Arrivals
Queueing Systems: Theory and Applications
Designing a Call Center with Impatient Customers
Manufacturing & Service Operations Management
A Call-Routing Problem with Service-Level Constraints
Operations Research
Commissioned Paper: Telephone Call Centers: Tutorial, Review, and Research Prospects
Manufacturing & Service Operations Management
How Multiserver Queues Scale with Growing Congestion-Dependent Demand
Operations Research
Dimensioning Large Call Centers
Operations Research
Mathematics of Operations Research
Heavy Traffic Limits for Queues with Many Deterministic Servers
Queueing Systems: Theory and Applications
Dynamic Routing in Large-Scale Service Systems with Heterogeneous Servers
Queueing Systems: Theory and Applications
Call-Routing Schemes for Call-Center Outsourcing
Manufacturing & Service Operations Management
Revenue Management of a Make-to-Stock Queue
Operations Research
On priority queues with impatient customers
Queueing Systems: Theory and Applications
Queueing Systems: Theory and Applications
Dynamic routing of customers with general delay costs in a multiserver queuing system
Probability in the Engineering and Informational Sciences
The Impact of Delay Announcements in Many-Server Queues with Abandonment
Operations Research
Cross-Selling in a Call Center with a Heterogeneous Customer Population
Operations Research
Queue-and-Idleness-Ratio Controls in Many-Server Service Systems
Mathematics of Operations Research
The impacts of customers’ delay-risk sensitivities on a queue with balking
Probability in the Engineering and Informational Sciences
Managing Service Systems with an Offline Waiting Option and Customer Abandonment
Manufacturing & Service Operations Management
When Promotions Meet Operations: Cross-Selling and Its Effect on Call Center Performance
Manufacturing & Service Operations Management
Control of systems with flexible multi-server pools: a shadow routing approach
Queueing Systems: Theory and Applications
The n-network model with upgrades
Probability in the Engineering and Informational Sciences
Dynamic control of a single-server system with abandonments
Queueing Systems: Theory and Applications
State Space Collapse in Many-Server Diffusion Limits of Parallel Server Systems
Mathematics of Operations Research
Call Centers with Delay Information: Models and Insights
Manufacturing & Service Operations Management
The Impact of Delaying the Delay Announcements
Operations Research
Queueing system MAP/M/N as a model of call center with call-back option
ASMTA'12 Proceedings of the 19th international conference on Analytical and Stochastic Modeling Techniques and Applications
Manufacturing & Service Operations Management
MMAP|M|N queueing system with impatient heterogeneous customers as a model of a contact center
Computers and Operations Research
Pricing Time-Sensitive Services Based on Realized Performance
Manufacturing & Service Operations Management
Data-stories about (im)patient customers in tele-queues
Queueing Systems: Theory and Applications
Hi-index | 0.00 |
Motivated by practices in customer contact centers, we consider a system that offers two modes of service: real-time and postponed with a delay guarantee. Customers are informed of anticipated delays and select their preferred option of service. The resulting system is a multiclass, multiserver queueing system with state-dependent arrival rates. We propose an estimation scheme for the anticipated real-time delay that is asymptotically correct, and a routing policy that is asymptotically optimal in the sense that it minimizes real-time delay subject to the deadline of the postponed service mode. We also show that our proposed state-dependent scheme performs better than a system in which customers make decisions based on steady-state waiting-time information. Our results are derived using an asymptotic analysis based on "many-server" limits for systems with state-dependent parameters.