Performance calibrations of a single server Glycolic acid based beauty parlour by fuzzy retrial queuing models

2021 ◽  
Author(s):  
R. Ramesh ◽  
M. Seenivasan
Keyword(s):  
Glycolic Acid ◽  
Single Server ◽  
Queuing Models

Transient and steady-state analysis of a queuing system having customers’ impatience with threshold

2019 ◽  
Vol 53 (5) ◽  
pp. 1861-1876 ◽  
Author(s):  
Sapana Sharma ◽  
Rakesh Kumar ◽  
Sherif Ibrahim Ammar
Keyword(s):  
Steady State ◽  
Probability Generating Function ◽  
Threshold Value ◽  
Steady State Solution ◽  
Function Technique ◽  
Single Server ◽  
Queuing Model ◽  
Queuing Models ◽  
Special Cases ◽  
Number Of Customers

In many practical queuing situations reneging and balking can only occur if the number of customers in the system is greater than a certain threshold value. Therefore, in this paper we study a single server Markovian queuing model having customers’ impatience (balking and reneging) with threshold, and retention of reneging customers. The transient analysis of the model is performed by using probability generating function technique. The expressions for the mean and variance of the number of customers in the system are obtained and a numerical example is also provided. Further the steady-state solution of the model is obtained. Finally, some important queuing models are derived as the special cases of this model.

scholarly journals Self-Similar Characteristics of COVID-19 Patient arrival at Healthcare Centre – A Study Using Queuing Models

2021 ◽  
Vol 12 (3) ◽  
pp. 4776-4791
Author(s):  
AM Girija, D.Mallikarjuna Reddy, Pushpalatha Sarla
Keyword(s):  
Health Care ◽  
Care Center ◽  
Local Area ◽  
Single Server ◽  
Self Similarity ◽  
Queuing Model ◽  
Health Care Center ◽  
Queuing Models ◽  
Detection And Identification ◽  
Patient Arrival

The entire world is spreading of coronavirus-COVID-19 has increased exponentially across the globe, and still, no vaccine is available for the treatment of patients. The crowd has grown tremendously in the hospitals where the facilities are minimal. The queue theory is applied for the Single-server system and its self-similarity existence in a queue used to identify the queue time, waiting time, and Hurst parameter by different patient arrivals methods Health care center in our local area located in Hosapete, Ballari district, Karnataka. Due to more arrivals to the health care center for the identification and confirmation of disease covid-19. This study paper presents a sequential queuing model for estimating infections' detection and identification in severe loading conditions. The goal is to offer a simplified probabilistic model to determine the general behavior to predict how long the treatment cycle will diagnose and classify people already tested and get negative or positive results. For this type of Method, there are some graphical representations of the various measurement criteria. The modelling results showed that the patient's waiting period in the course of inquiries, detections, detecting, or treating COVID-19 in the event of imbalances in the system as a whole rise following the logarithm rule.

scholarly journals A single-server Markovian queuing system with discouraged arrivals and retention of reneged customers

2014 ◽  
Vol 24 (1) ◽  
pp. 119-126 ◽  
Author(s):  
Rakesh Kumar ◽  
Kumar Sharma
Keyword(s):  
Negative Impact ◽  
Steady State Solution ◽  
Queuing System ◽  
Point Of View ◽  
Single Server ◽  
Queuing Model ◽  
Queuing Models ◽  
Special Cases ◽  
Retention Of Reneged Customers ◽  
Measures Of Effectiveness

Customer impatience has a very negative impact on the queuing system under investigation. If we talk from business point of view, the firms lose their potential customers due to customer impatience, which affects their business as a whole. If the firms employ certain customer retention strategies, then there are chances that a certain fraction of impatient customers can be retained in the queuing system. A reneged customer may be convinced to stay in the queuing system for his further service with some probability, say q and he may abandon the queue without receiving the service with a probability p(=1? q). A finite waiting space Markovian single-server queuing model with discouraged arrivals, reneging and retention of reneged customers is studied. The steady state solution of the model is derived iteratively. The measures of effectiveness of the queuing model are also obtained. Some important queuing models are derived as special cases of this model.

scholarly journals An Ann Simulation of Single Server with Infinite Capacity Queuing System

2019 ◽  
Vol 8 (12) ◽  
pp. 4067-4071 ◽  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Mathematical Models ◽  
Analytical Method ◽  
Arrival Rate ◽  
Queuing System ◽  
Single Server ◽  
Queuing Models ◽  
Artificial Neural Network Ann ◽  
Number Of Customers

Successful formulation of queuing models depends on arrival rate, nature of waiting in queues, type of service and customer leaving the system depends on type of arrival, nature of service, number of servers deputed, type of queues, number of customers approaching for service in the system and delay. Kendall notations are popularly used for designating the queuing models like M/M/C/E/D. Various mathematical models have been developed to solve the queuing problem analytically. However solving queuing models with power of computers is the new area of research and this work intends to develop single server infinite capacity queuing system using Artificial Neural Network(ANN). The results of simulation are compared with that of analytical method.

Sign in / Sign up

Export Citation Format

Share Document