This paper represents linkage network of queues consisting of biserial and parallel servers linked to a common server in series with a flowshop scheduling system consisting of two machines. The significant transportation time of the jobs from one machine to another is also considered. Further, the completion time of jobs/customers (waiting time + service time) in the queue network is the set...

Background and aims: Visit quality is a crucial component of patient-physician interaction that its inadequacy can negatively influence the diagnosis and treatment efficiency. The waiting time and visit length are important determinants of quality in the outpatient care setting. Thus, the aim of this study was to determine waiting time and visit length and to compare them befor...

In the context of public transportation system, improving the service quality and robustness through minimizing the average passengers waiting time is a real challenge. This study provides robust stochastic programming models for train timetabling problem in urban rail transit systems. The objective is minimization of the weighted summation of the expected cost of passenger waiting time, its va...

BACKGROUND The purpose of this study was to assess ethnic differences in Emergency Department (ED) waiting times between Jewish and Arab children in a tertiary childrens' hospital in Israel. METHODS This was a retrospective cohort study of all children who were admitted to the pediatric ED of the largest hospital in northern Israel, between January 2011 and December 2015. Univariate and multi...

the paper discusses the current state of research concerning railway network timetabling and traffic management. timetable effectiveness is governed by frequency, regularity, accurate running, recovery and layover times, as well as minimal headway, buffer times and waiting times. analytic (queuing) models and stochastic microsimulation are predominantly used for estimation of waiting times and ...

Cancer progression is an evolutionary process that is driven by mutation and selection in a population of tumor cells. We discuss mathematical models of cancer progression, starting from traditional multistage theory. Each stage is associated with the occurrence of genetic alterations and their fixation in the population. We describe the accumulation of mutations using conjunctive Bayesian netw...

We consider a model of a population of fixed size N in which each individual gets replaced at rate one and each individual experiences a mutation at rate μ. We calculate the asymptotic distribution of the time that it takes before there is an individual in the population with m mutations. Several different behaviors are possible, depending on how μ changes with N . These results have applicatio...