Results 11 to 20 of about 10,905 (128)
Physician-Customized Strategies for Reducing Outpatient Waiting Time in South Korea Using Queueing Theory and Probabilistic Metamodels. [PDF]
The time a patient spends waiting to be seen by a healthcare professional is an important determinant of patient satisfaction in outpatient care. Hence, it is crucial to identify parameters that affect the waiting time and optimize it accordingly. First,
Lee H +5 more
europepmc +2 more sources
Social-psychological Aspects of Probability-based Online Panel Participation
In this study, we use qualitative research methods to identify, discuss, and investigate the self-reported motivational factors and barriers in all stages of the probability-based online panel lifecycle—recruitment to the panel, wave-by-wave data ...
Sebastian Kočar, P. Lavrakas
semanticscholar +1 more source
The coronavirus disorder is an epidemic induced by the SARS-CoV-2 germ. The health region is recognized as one of the most important areas in the service sector due to its direct connection to human well-being, particularly in context of the pandemic ...
Aqsa Ahmed, Nasir Jamal, Umair Saeed
semanticscholar +1 more source
The article deals with the problem of formation of knowledge, skills and abilities of students-mathematicians, necessary for preparation for teaching probabilistic and statistical direction in the course of school mathematics.
V. Shareyko +2 more
semanticscholar +1 more source
Given that there are somany diverse research trends in queueing theory, it is reasonable to say that there is no unified theory of queueing, and there probably never will be.
N. Walton
semanticscholar +1 more source
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020) [PDF]
Understanding the data and reaching accurate conclusions are of paramount importance in the present era of big data. Machine learning and probability theory methods have been widely used for this purpose in various fields.
R. Alizadehsani +14 more
semanticscholar +1 more source
Abstract In this paper, we address the problem of routing a fleet of electric vehicles (EVs) to serve a set of customers, geographically distributed, within their time windows. We assume that EVs may also be recharged en route, and the amount of energy recharged at a recharging station (RS) is a decision variable itself, that is, partial recharges are ...
Maurizio Bruglieri +3 more
wiley +1 more source
Application of probability theory in machine selection
Machine selection plays a crucial role as it impacts various aspects of production, including technical, economic, and environmental factors. Choosing a machine that ensures a balance among all these aspects is a complex task, as each type of machine ...
D. Trung +4 more
semanticscholar +1 more source
Vessel arrival planning with full information
Abstract Planning efficiency and timely arrival of vessels is crucial to smooth operations of maritime transport networks, ensuring optimal utilization of resources and minimizing operational costs. Coordination between vessel operators and terminals has the potential to reduce costs, fuel consumption, and waiting time.
Pim Willem Antoon van Leeuwen +1 more
wiley +1 more source
We propose an alternative approach for studying queues based on robust optimization. We model the uncertainty in the arrivals and services via polyhedral uncertainty sets, which are inspired from the limit laws of probability.
Chaithanya Bandi +2 more
semanticscholar +1 more source

