A Markovian line with changed fix and state subordinate section rate has been analyzed. The probability creating limit of the line gauge at an abstract time is procured using favorable variable framework. Some huge introduction estimates like expected line gauge, foreseen length of dormant and...

Service time and waiting time in hospitals are of growing importance in quality healthcare delivery. Long waiting times for health care is a critical issue in many countries. Many of the countries have now introduced benchmarks for that. The objective of this research paper is to study the Out...

The traditional queueing literature assumes that service time is largely independent of social influences. However, queues are social systems; and social considerations are therefore likely to impact customers' service-time decision to the extent they have control. Through a series of...

Profit optimization imperative for any business. The businesses that are dealing with lots of stochastic variables he challenges become severe. Almost all of the business situations can be presented through a mathematical model. In this paper, the functioning of a financial institution such as...

We study the problem of predicting congestion risk in service systems, a factor associated with poor service experience, higher costs, and even medical risk (e.g., in ICUs). By predicting future congestion, decision- makers can initiate preventive measures such as rescheduling activities or...

In a multi-server, single-queue symmetric capacity choice game, Gopalakrishnan et al. (2016) characterize the existence of a Nash equilibrium under a requirement on the servers’ capacity cost functions, which excludes some highly relevant cases where servers have ample discretion over their...

We investigate the effects of autonomous vehicles (AVs) on highway congestion. AVs have the potential to significantly reduce highway congestion, since these vehicles are able to maintain smaller inter-vehicle gaps and travel together in larger platoons (or batches) than human-driven vehicles...

This paper investigates an optimal sequencing and dynamic pricing prob- lem for a two-class queueing system. Using a Markov Decision Process based model, we obtain structural characterizations of optimal policies. In particular, it is shown that the optimal pricing policy depends on the entire...

Shuttle-based compact systems are new automated multi-deep unit-load storage systems with lifts that promise both low operational cost and large volume flexibility. In this paper, we develop novel queuing network models to estimate the performance of both single-tier and multi-tier shuttle-based...

With growing worldwide trade, container terminals have grown in number and size. Many new terminals are now automated to increase operational efficiency. The key focus is on improving seaside processes, where a distinction can be made between single quay crane operations (all quay cranes are...