Classical models of service systems with rational and strategic customers assume queues to be either fully visible or invisible. In practice, however, most queues are only "partially visible" or "opaque", in the sense that customers are not able to discern precise queue length upon arrival. This...

Markov model of multi-component machining system comprising two unreliable heterogeneous servers and mixed type of standby support has been studied. The repair job of broken down machines is done on the basis of bi-level threshold policy for the activation of the servers. The server returns back...

Unemployment is a serious challenge that has been rising day by day. Skill development and creation of employment opportunities are key factors to address youth unemployment. This study emphasizes on the need for job-oriented education and to link education to employment. This study derives a...

Many services are provided in the form of self-service. In self-service, customers simultaneously become the sole producer and a consumer of a service. Using a scenario-based experiment, we examine the psychology of queuing for self-service, and how inter-customer interaction affects service...

Truck appointment systems (TAS) are a well-recognized method to smooth the peaks in truck arrivals at seaport container terminals and thereby reduce operation costs for the terminals and waiting times for trucking companies. This study analyzes the influence of different drayage patterns on the...

This paper analyzes court priority queuing behavior by examining the time lapse between when a case enters a court's docket and when it is ultimately disposed of. Using data from the Supreme courts of the United States, Massachusetts, and Canada we show that each court's docket features a slow...

We consider the problem of optimal information sharing in an unobservable single-server queue offering service at a fixed price to a Poisson arrival of delay-sensitive customers. The service provider observes the queue, and may share state information with arriving customers. The customers are...