Number Of Queues Research Articles

To analysis of a two-buffer queuing system with cross-type service and additional penalties

The concept of cloud computing was created to better preserve user privacy and data storage security. However, the resources allocated for processing this data must be optimally allocated. The problem of optimal resource management in the loud computing environment is described in many scientific publications. To solve the problems of optimality of the distribution of resources of systems, you can use the construction and analysis of QS. We conduct an analysis of two-buffer queuing system with cross-type service and additional penalties, based on the literature reviewed in the article. This allows us to assess how suitable the model presented in the article is for application to cloud computing. For a given system different options for selecting applications from queues are possible, queue numbers, therefore, the intensities of transitions between the states of the system will change. For this, the system has a choice policy that allows the system to decide how to behave depending on its state. There are four components of such selection management models, which is a stationary policy for selecting a queue number to service a ticket on a vacated virtual machine each time immediately before service ends. A simulation model was built for numerical analysis. The results obtained indicate that requests are practically not delayed in the queue of the presented QS, and therefore the policy for a given model can be considered optimal. Although Poisson flow is the simplest for simulation, it is quite acceptable for performance evaluation. In the future, it is planned to conduct several more experiments for different values of the intensity of requests and various types of incoming flows.

ANALISIS KEPUASAN PELANGGAN TERHADAP PELAYANAN BARBERSHOP DENGAN MENGGUNAKAN METODE SERVICE QUALITY DAN QUALITY FUNCTION DEPLOYMENT

For companies in the service sector, especially REF Barbershop, quality improvement and service processes must be customer oriented. To improve the quality of customer service at REF Barbershop, a service quality analysis method is needed. An effective service quality analysis method is to combine the Service Quality (SERVQUAL) method which is integrated with the Quality Function Deployment (QFD) method using the House Of Quality Model. The application of the SERVQUAL method to identify strengths or advantages in the service industry, while the QFD method guarantees that services will be provided according to customer needs. The QFD method using the House Of Quality Model is a collection of matrices containing customer desires and service quality characteristics which are all generated from questionnaire processing. Service design at REF Barbershop using the Service Quality method found a gap that occurred on the customer side, namely between the level of perception and the level of expectation, namely: Availability of toilets obtained a gap value of -0.880, Having good and modern equipment obtained a gap value of -0.580, Cleanliness and completeness equipment, the gap value is -0.360, Availability of queue numbers is obtained the gap value is -0.180, Employees receive consumer complaints quickly, the gap value is -0.140, friendly and courteous service to customers is obtained, the gap value is -0.080. The use of Quality Function Deployment which makes the level of customer satisfaction as the Voice of the Customer and makes the House of Quality then gets 4 Technical Responses, namely: providing training to improve employee performance and rewarding employees whose performance has increased and giving sanctions to employees who perform poorly, providing queue numbers and toilets to increase comfort, improve and schedule regular equipment quality checks, make picket schedules for facility maintenance and cleanliness. From the results of the technical response it can be useful to build and improve services at REF Barbershop.

RANCANG BANGUN PROTOTYPE DISPLAY ANTRIAN PELANGGAN DENGAN PENGGUNAAN TEKS DAN SUARA BERBASIS JARINGAN INTRANET

The development of information technology in various fields, one of which is in the field of queuing systems. That we know about the queuing system which is so tedious because of the long process of queuing. Therefore, the number of customer queues at several banks so that customers cannot relax to carry out transactions at the bank is a problem that is often encountered, as well as what happened at PT. BPR SARIBUMI Bank Godong Branch, which still uses a manual system. To overcome this problem, a queue display is used that uses text and voice displays and prints the queue serial number so that customers no longer need to queue conventionally.
 With this queuing system, the queue counter clerk, cashier or teller will have no difficulty in determining the first person to be served in the queue. This is a solution, but the display of the queue display uses electronic equipment that performs a counter so that the possibility of damage to the device exists. In making this final project the author uses Microsoft Visual Basic 6.0 software and MySQL database.

Mass production methods for mass vaccination: improving flow and operational performance in a COVID-19 mass vaccination centre using Lean

The COVID-19 pandemic has infected tens of millions of people worldwide causing many deaths. Healthcare systems have been stretched caring for the most seriously ill and lockdown measures to interrupt...

Black Dawet App Android Based

Restaurants with large crowds may face queues and large orders. One of them is the Dawet Jembut Kecabut Restaurant which sells dawet ireng. This restaurant has not implemented technology in terms of queuing and customer orders so that there is not a maximum queue of buyers and sellers have to ask every order to the buyer. From the above problems, the Black Dawet App was made. Android based queue and order tracking application. The waterfall method is applied in building this application. This application uses the Flutter SDK which uses the Dart programming language as an android display and CodeIgniter for the backend and MySQL as database management. With this application you can maximize the order queue at the Dawet Jembut Kecabut Restaurant, because the buyer must have a queue number and enter the order when going to buy.

RealTime Pendaftaran Pasien Berbasis Web Service dan SMS Gateway : Pada Masa PSBB di Klinik Karisma Medika

Abstract— The current COVID-19 pandemic has an impact on all sectors of life where the government has set a policy of Large-Scale Social Restrictions (PSBB). The existence of restrictions on activities known as 3M requires Karisma Medika Clinic to adapt its operational workflow by utilizing information technology to adapt patient registration. To make it easier for patients to register and get a queue number by developing a web service-based application and SMS Gateway. The application is developed based on a web service using the Codeigniter framework with a flow of information procedures regarding the attending physician, then after selecting a doctor, will go to the registration section to fill in personal data and symptoms and complaints for consultation. The data entered in the application will be stored in the Gammu SMS engine database and through the SMS gateway, patients will receive a queue number for consultation at the clinic in real time which will continue to be updated. User response tests from 25 respondents showed that it was easy for patients to register by paying attention to health protocols of 92.25% (very easy), 5% (easy), and 2.75 % quite easy. While the satisfaction indicator is 95% (very satisfied) and 5% of respondents (satisfied).

HUBUNGAN EKSPEKTASI KINERJA, EKSPEKTASI USAHA, DAN PENGARUH SOSIAL DENGAN PENERIMAAN MASYARAKAT DALAM PENGGUNAAN PUSKESMAS TANPA ANTRIAN KOTA SEMARANG (PUSTAKA) DI PUSKESMAS PONCOL SEMARANG

Poncol Health Center is one of the health center in Semarang City which has a high number of queues at the outpatient registration place, so this must be addressed immediately because it can affect patient satisfaction and impact the quality of health center services as well. In an effort to overcome this queuing problem, the Poncol Health Center implements the Puskesmas Tanpa Antrian Kota Semarang (PUSTAKA), namely outpatient registration via Whatsapp, SMS, or an application, that has been made by the Semarang Health Office. In its implementation, PUSTAKA has not been optimally utilized by patients, so this study aims to determine the factors which are associated with acceptance in the use of PUSTAKA program. This type of research is a quantitative research with a cross-sectional study design. The sample in the study amounted to 100 respondents who are users of PUSTAKA at Poncol Health Center. Data processing used univariate and bivariate analysis methods with the chi-square statistical test. The results of the study show that the variables which are significantly correlated to acceptance in the use of PUSTAKA program are performance expectancy (p=0,037) and effort expectancy (p= 0,015). The variable which is not significantly correlated is social influence (p= 0,434). Poncol Health Center are advised to optimizing the socialization of PUSTAKA, advise the Semarang Health Office to simplify the registration format, and provide another telephone number as an alternative for patients who have problems registering via SMS or Whatsapp

Web-based Patient Queuing System and Automatic Notification via WhatsApp Framework Codeigniter

At present, the benefits of website-based information systems have been widely felt, but there are still many agencies that have not properly utilized the existence of technology. One of the systems that need to be developed in the health sector is giving queue numbers to patients. This study aimed to determine the effectiveness of the web-based patient queuing system and automatic notifications through the WhatsApp framework Codeigniter. The subjects involved in this study were patients who would take a queue number at the clinic. Data collection in the study was carried out by observation and interview methods. The research data were then analyzed using descriptive analysis techniques, namely by describing various findings in the field, which were then linked to the results of previous studies. The system development results show that the system’s success rate for giving queue numbers to patients reaches 100%, and the natrian number reminder system also gets a success percentage of 100%. These results indicate that the queue number system has been successfully developed to help patients search for queue numbers.

Hospital selection in emergency medical service systems: A literature review

Emergency medical service (EMS) systems play a fundamental role in society by providing a vital service in initial emergency care. The purpose of this research is to present the first literature review of hospital selection operational decision within the context of the EMS system. The main findings were the following: The hospital selection problem is integrated with the location, dispatch, routing, and size of the ambulance fleet. The main selection criteria were closeness, hospital care capacities and the shortest queue or greatest number of free beds. The most used performance measures were the shortest transport and waiting time. Solution techniques include discrete event simulation, queuing models, mixed linear integer programming, and CPLEX and Arena software. The application of metaheuristics is scarce; mobile applications and Internet information systems have been implemented for real-time decision making. It is recommended that the design of hospital selection methods be implemented as well as the technological developments, considering the participation of the actors of the EMS system.

Hospital selection in emergency medical service systems: A literature review

Emergency medical service (EMS) systems play a fundamental role in society by providing a vital service in initial emergency care. The purpose of this research is to present the first literature review of hospital selection operational decision within the context of the EMS system. The main findings were the following: The hospital selection problem is integrated with the location, dispatch, routing, and size of the ambulance fleet. The main selection criteria were closeness, hospital care capacities and the shortest queue or greatest number of free beds. The most used performance measures were the shortest transport and waiting time. Solution techniques include discrete event simulation, queuing models, mixed linear integer programming, and CPLEX and Arena software. The application of metaheuristics is scarce; mobile applications and Internet information systems have been implemented for real-time decision making. It is recommended that the design of hospital selection methods be implemented as well as the technological developments, considering the participation of the actors of the EMS system.

COMPARING SCHEDULING APPOINTMENT RULES PERFORMANCE IN HEALTH CARE UNITS: A DISCRETE EVENT SIMULATION APPROACH

Health care systems are affected by sudden increases in demand that can be generated by factors such as natural disasters, terrorist attacks, epidemics, among others. Patient demand can be divided between scheduled and walk-in and, in pandemic scenarios, both of them must be managed in order to avoid higher patient waiting times or number in queue. A discrete event simulation model is proposed in order to evaluate critical indicators like: patient waiting times, number in queue, resource utilization (doctors), using four different patient schedule appointment rules. In this study it was also considered patients impunctuality, walk-in patients and no-show in different scenarios. The best schedule appointment rules for each demand scenario were evaluated. After comparing six performance indicators, four schedule appointment rules in nine different scenarios it was found that the most known scheduling rule had the lowest queue sizes at scenarios with low or no walk-in patients, whereas, as the unpredictability of the scenarios rose, other rules outperformed it. It was also presented to exist an inverse relation between queue size and the physician idle time. Keywords: discrete event simulation, idle-time, queue management, appointment scheduling, health care.

Design and build a queuing system for the office of population and civil registration of Kuningan Regency based on Android

Queue system based on Population and Civil Registry of Kuningan Regency based on android is used in the process of managing the queue so that the queue stacking can be overcome. This queuing system provides a queue number for the next few days besides that the call of the queue number screen is provided in this system so that the community can more easily install the queue so that it is not at the location. With this system, the people of Kuningan Regency are freed by the large number of queues or scattered queues, then people who are far from the office location are made easy to get a queue number without having to come to the office.

Statistical Analysis of Patients Waiting Time in Accessing Health Care Services in Ghana: A Case Study of University of Cape Coast Hospital

Delayed access to health care in terms of diagnosis and treatment has unforeseen health and cost implications on the patients and the public health system in general. Thus, the study examines patients’ waiting time in accessing health care services. The study employs a convenience sampling technique in collecting data from a sample of 350 Outpatients using a questionnaire. The main analytic tools used in the study are the paired sample t-test, binary logistic regression and SmartPLS structural equation modelling. Results from the study show that the actual waiting times of patients are generally higher than the expected times. Furthermore, the probability of a patient’s waiting time being rated as unacceptable is affected by the Day of attendance, Arrival time of patients, Large number of patients or long queue, Long registration time, Type of diagnosis, and Type of treatment sought. Finally, the study also establishes that there is no relationship between socio-demographic characteristics and unacceptable waiting time, as well as no relationship between hospital factors and unacceptable waiting time. Additionally, the study shows that unacceptable waiting time does not have any influence on overall patients’ satisfaction. However, a strong positive relationship between process factors and unacceptable waiting time was established. The study recommends that there is the need for health care policy formulators to adopt more efficient strategies, like use of computer modelling to help assign appointment time to patients, so as to significantly reduce the time patients spend waiting at the hospitals.
 Citation: Kunu, E. K. and Agbede, P. S. (2021). Statistical Analysis of Patients Waiting Time in Accessing Health Care Services in Ghana: A Case Study of University of Cape Coast Hospital. International Journal of Technology and Management Research. Vol. 6, Issue 1: 14－27.
 Received: October 23, 2020Accepted: March 30, 2021

Effect of Service Quality on Patient Satisfaction at Mabelopura Health Center

Quality is a measure or degree of good or bad a product or service is. Quality is a combination of the properties and characteristics of a product or service that can meet the needs of customers. The problem of research is whether there is an effect of service quality on patients' satisfaction at Mabelopura Public Health Center. This research aims to determine the effect of service quality on patients' satisfaction. This type of research is quantitative with a cross-sectional design. The sampling technique is the accidental sampling method, on 99 patients at Mabelopura Public Health Center. The analysis technique uses simple linear regression analysis. The results show that the variables which have a positive and insignificant effect on patients' satisfaction are technical competence with a coefficient of 0,087 and a sig value of 0,564> 0,05, access to services with a coefficient of 0,236 and a sig value of 0,123> 0,05, effectiveness with a coefficient value of - 0,136 and sig value 0,194> 0,05, efficiency with a coefficient value of 0,473 and a sig value of 0,049 <0,05, continuity of service with a coefficient value of 0,231 and a sig value of 0,125> 0,05, human relations with a coefficient of 0,214 and a sig value of 0,202 > 0,05, security with a coefficient value of 0,309 and a sig value of 0,055> 0,05. While the variable that has a positive and significant effect is the comfort variable with a coefficient value of 0,254 and a sig value of 0,042> 0,05. It is expected that services at the Health Center will be improved and the quality of existing services is maintained so that visitors will always feel satisfied with the service at the health center and it is hoped that service officers will serve patients fairly and according to the queue number so that there is no jealousy among patients and their satisfaction is maintained.

Auto Billing Shopping Cart

The most valuable thing in today’s world is time, people are referring those things which consumes less time. Billing in Shopping mall takes lot of time. Billing of products from mall is quite difficult because it takes more time as people have to wait for a long time in a queue for billing .Looking at the advancement in technology, we came up with an innovative idea of “Smart Shopping Cart for Automatic Billing in Supermarket”. This project consists of RFID reader, motion detector sensor, Liquid Crystal Display, push buttons, switches . If user wants to use smart trolley functions then start button should be pressed. When a user put some product in trolley then its code will be detected using RFID reader and cost of a product added to the list and sensor will sense the direction of motion of the product for fault detection and buzzer will be on if fault detected. In case, if user wants to remove some product then user should press the remove switch and product code will be detected by RFID reader and again for any false activity buzzer will be on. At last, counter with least number of queues will be detected and displayed on the cart LCD.

Queue assignment for fixed-priority real-time flows in time-sensitive networks: Hardness and algorithm

Abstract Time sensitive networks (TSNs) enable deterministic real-time communication over Ethernet networks. According to IEEE 802.1Qbv standards, TSN switches use gates between queues and their corresponding egress ports to facilitate timing-deterministic communications. Management of switch resources, such as queues, has a significant impact on the schedulability of real-time flows. In this paper, we look into the theoretical foundation of queue management in TSN switches. We prove that the queue assignment problem for real-time flows on time sensitive networks under static priority scheduling is NP-hard in the strong sense, even if the number of queues per port is 3. Then we formulate the problem as a satisfiability modulo theories (SMT) specification. Besides, we propose a worst case response time analysis and a fast heuristic algorithms by eliminating scheduling conflicts. Experiments with randomly generated workload demonstrate the effectiveness of our algorithms for queue assignment of real-time flows.

C19-SmartQ: Applying Real-Time Multi-Organization Queuing Management System Using Predictive Model to Maintain Social Distancing

<p>COVID-19 is a pandemic crisis that has introduced new norm to the world where we are not encouraged to be in 3C areas, namely crowded place, confined space, and close conservation. We must also ensure that we are at least one meter apart from one another at all time even while queuing. The queuing process can be seen at any organization that offer services. Adhering to the new norm can be a challenge for organization such as banks, hospitals, and government offices when the number of clients waiting in queue increases while in confined space. On the client’s side, they must go through the queue process of obtaining a queue number ticket and then wait to be served in confined and sometimes crowded space every time they require a service. Thequeue process will be repeated at different premise. This study proposes real-time multi-organizationsC19-SmartQ system which use predictive modelling to generate single or consecutive queue number tickets for any client requiring services from two different organizations located within the same building. C19-SmartQsystemmanages queues thus administer social distancing and streamline queues to reduce waiting periods and improve service efficiency. To ensure operability of C19-SmartQ system, itwas tested on the functionality and web server speed performance. The web server speed performance results show that data transfer and web loading were stable since there was only an increase of 0.2 seconds or 0.08% as the number of users per session increases. In the future, the system can be designed to accommodate queuing for more organizations located within the same building. Machine learning can also be integrated in the system to improve the predictive modelling based on current environment at each organization.</p>

Q-CAM: Queue Monitoring System using Camera

Development and design of mobile queue counter monitoring system is an alternative way for people who visit service premises to monitor queue number through phone without having to be at the place to wait for their turn. A long waiting line and waiting time are the reasons why this project had been developed. Many related systems had been introduced by different companies but due the high cost of installation and maintenance, some service companies had difficulties to implement the system. However, the proposed mobile queue counter monitoring system called Q-CAM is an add-on device which will be installed with the existing system and uses only ESP32 camera and FTDI Programmer as hardware development. A smartphone application is developed by using MIT App Inventor to ease the customer to monitor queue number on the app. In this work, the hardware designs of the propose device is described. Furthermore, the steps to develop the smartphone app is demonstrated. Preliminary experimental results show that the average time required to display a captured queue number image on the app were 5 seconds (during strong Wi-Fi signal) and 10.8 seconds (during weak Wi-Fi signal).

Analisis Karakteristik Parkir, Drop Off dan Pick Up Area Berdasarkan Demand Bandara Juanda Surabaya

Juanda Airport as one of airports in Indonesia has served domestic and international flight. Airports are usually located in outlying areas accessible via direct access freeways or transit lines rather than at the center of metropolitan areas restricted by local grid networks, so their market area can be measured. The modes used at Juanda airport are dominated by private vehicles and cab. And it caused a lot of queue in the drop zone area at the peak hour and also needed some additional parking area which has overloaded in capacity. Information on the use of transportation modes is very important to know. This needs sould important in order to maximize the need for facilities related to the use of access modes to the airport. The method used is to identify the use of vehicles that access the airport, evaluate the performance of parking lots, evaluate of pick up and drop off area, evaluate the number of queues at the drop off and pick up area and when if mass transportation is held to provide access modes to the airport. The result shows that private vehicles dominate as vehicles accessing the airport by 87,78% and public vehicles by 12,23%. Peak hours of vehicles arrival at 9 AM. The analysis of the use of the drop off area a queue of vehicles by 87,57% and demand in the parking lots of 60,37%. From the proposal of using mass transportation to reduce queue in the drop zone area by 12,42% and reduction in parking lots demand by 39,62%.

Feature-Based Design of Priority Queues: Digital Triage in Healthcare

We study data-driven classification where a classifier assigns jobs (e.g., patients or medical images) based on observed features to priority queues for human review. Traditional classifiers are designed to minimize misclassification loss functions but may underperform when integrated with workflows that can be modeled by queueing systems for two key reasons: First, conventional loss functions do not capture the externalities inherent in queueing systems that amplify the impact of classification errors: misclassifying an urgent patient as non-urgent impacts the wait of other patients classified as urgent and non-urgent. The second problem is that the queueing system design (which includes the number of priority queues and the assignment of job types to priority queues) is typically optimized ex-ante assuming perfect classification. We propose an integral approach where the classifier and/or the queueing system are optimized to minimize the workflow's average waiting cost. We demonstrate the value of our approach using a real data-set covering 560,486 patient visits to three emergency rooms over three years. We theoretically characterize the optimal number of priority queues and the optimal prioritization policy as a function of the classifier's accuracy for tractable problem instances. Compared to the use of off-the-shelf classifiers, the integral approach significantly reduces average delay costs in highly utilized systems with significant heterogeneity in delay costs. It compensates for classifier inaccuracies by assigning job types differently and to fewer priorities than the traditional approach. Competing Interest Declaration: The authors declare that they have no competing financial, professional, or personal interests that might have influenced the design and the results of this study.