• Journal of Korean Institute of Industrial Engineers
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• v.28 no.3
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• pp.256-263
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• 2002

This paper addresses a planning problem in a pickup-delivery transportation' system under dynamic vehicle dispatching. We present a procedure to determine a fleet size in which stochastic characteristics of vehicle travels are considered. Statistical approach and queueing theory are applied to estimate vehicle travel time and vehicle waiting time, based on which an appropriate fleet size is determined. Simulation experiments are performed to verify the proposed procedure.

• Journal of the Korean Professional Engineers Association
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• v.28 no.3
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• pp.121-134
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• 1995

To operate the automatic devices of manufacturing process more effectively and to solve the needs of the resource sharing, network technology is applied to the unit con-trol devices located In common manufacturing zone and operated by connecting them. The network management system, which controls and supervises the network resources in the communication network, is the function that is necessarily required in this net-work. For the stability in this network, this paper measures the variation of data packet length and node number and analyzes the variated value of the token rotation time and waiting time for the network operation. On the evalution of the performance, the data packet length varies from 10 bytes to 100 bytes in the operation of the group manage-ment network, the variation of the token rotation time and waiting time is less than 10 msec. When the variation of the data packet lenhth is less than 50 bytes, differences in token rotation time or waiting time is unnoticable. Since the waiting time in this case is less than 10 msec, response time Is fast enough.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.1
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• pp.39-60
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• 2017

In the Cloud, for the scheduling of parallel jobs, there are many tasks in a job and those tasks are executed concurrently on different VMs (Visual machines), where each task of the job will be executed synchronously. The goal of scheduling is to reduce the execution time and to keep the fairness between jobs to prevent some jobs from waiting more time than others. We propose a Cloud model which has multiple Clouds, and under this model, jobs are in different lists according to the waiting time of the jobs and every job has different parallelism. At the same time, a new method-ZOMT (the scheduling parallel tasks based on ZERO-ONE scheduling with multiple targets) is proposed to solve the problem of scheduling parallel jobs in the Cloud. Simulations of ZOMT, AFCFS (Adapted First Come First Served), LJFS (Largest Job First Served) and Fair are executed to test the performance of those methods. Metrics about the waiting time, and response time are used to test the performance of ZOMT. The simulation results have shown that ZOMT not only reduces waiting time and response time, but also provides fairness to jobs.

• Korea Journal of Hospital Management
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• v.8 no.2
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• pp.49-69
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• 2003

This study purported to evaluate the performance of the appointment system for outpatients in primary care dental clinic. The data of patients' time flow for 1,245 patients in Y Dental Clinic were collected for one month in 2002 and then analyzed. Specifically, the time periods of treatment and patients' waiting as well as rates of appointment and it's failure are estimated. The accuracy of expected treatment time period was also evaluated. The results showed that 72% of patients visited the clinic with appointments, and only 56% kept their appointments. The patient's waiting time period turned out to be 11 minutes in Y clinic. The expected treatment time period is turned out to be very important because they influence significantly on patient's waiting time period. Practically, the expected treatment time period should be overestimated about 9 minutes in general, and the characteristics of dentist, each patient's diagnosis and age need to be especially considered. Hospitals and clinics also need to make the systematic and detailed critical pathways for a variety of patient cases by analyzing the patients' treatment pattern. With the improved appointment systems, healthcare institutions will approach the goal of effective and efficient management of the institution and also satisfy their customers.

• The Transactions of the Korea Information Processing Society
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• v.6 no.2
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• pp.385-395
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• 1999

Video-On-demand system provides electronic video rental services from remote video servers on a broadband communication networks. When we assume some situation that serve the same video stream by batching, each time single video stream became available at server-end side, we face the problem that what video stream to be scheduled at what time instant. Hence, in order to manage the resource bandwidth which is different at each stream, the policy of channel allocation became important factor. In this work, we proposed three type of scheduling policies with queueing, as are cumulative Waiting Time(CWT), Mean Waiting Time(MWT) and Predictable Popular Factor(PPF). While CWT policy is good for popular video, MWT policy was good for non-popular video. Also, we know that PPT policy has some fairness for average wait time and reneging rate of user requests.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.9
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• pp.3843-3848
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• 2011

The purpose of the study was to examine an effect of service delay on waiting anxiety and a moderating role of individual characteristics variables(gender, hedonics). The results of the study were as follows. When waiting time was increased, waiting anxiety was also increased. The data also showed a moderating effect of gender between delay and waiting anxiety, but a moderating effect followed by perceptive level of hedonics for service was nonexistent. In conclusion, the study suggested implications followed by the above results, its limitations and tasks to be solved after the study.

• Journal of Nutrition and Health
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• v.31 no.8
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• pp.1347-1354
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• 1998

The purposes of this study were to : (a) anlayze wating time, service rate, arrival rate, and coustomer expectations/satisfaction in cafeteria business foodservices and (b) identify the differences in those factors between foodservices by menu managmenet systems. The samples were two business foodservices operated by contract management in Seoul. The queue, laptime , service rate, and arrival rate were measured at each foodservice by stopwatch observation. The menu type, delivery system, number of meals served , servide time, and turnover rate of each foodservic was investigated. Questionnaires were developed to survey customer expectations and satisfaction. Satistical data analysis was completed using the SAS package programs for descriptive analysis and t-test. The mean waiting time of island type dafeteria system with separte set -menu was shorter than that of the other. In both foodservices, arrival rates were not significantly different from one another , but sevice rates were significnatly high in dafeteria menu systems. The peak time of the queue was found out at combination set menu line. The separate set menu line had a higher servide rate than the combination set menu line. The mean waiting time of the island type cafeteria line was shorter than that of the straifth type . At the straight type dafeterial line, both arrival rate and service rate were higher than those of island-type. The results of this study suggested that a separate set-menu would be more desirable than a combination set-menu in case of providing set menu with cafeteria menu.

• Journal of the Korea Computer Industry Society
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• v.5 no.9
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• pp.1005-1016
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• 2004

The conventional traffic light loses the function of optimal traffic signal cycle. And so, 30-45% of conventional traffic signal cycle is not matched to the present traffic signal cycle. In this paper proposes electro sensitive traffic light using fuzzy rules which will reduce the average vehicle waiting time and improve average vehicle speed. This paper is researching the storing method of 40 different kinds of sensor input conditions. Such as, car speed, delay· in starting time and the volume of cars in the real traffic situation. It will estimate the optimal green time in the 10 different intersections using Intelligent fuzzy method. Computer simulation results prove that reducing the average vehicle waiting time and offset better than fixed signal method which doesn't consider vehicle length.

• Journal of the Ergonomics Society of Korea
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• v.31 no.1
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• pp.93-100
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• 2012

Objective: This study is to review the current state of services offered to pharmacy users, and develop a service design converging a prescription service and a smart phone application service in order to enhance patients' experience at pharmacies and home. Background: Under the new medical system; separation of prescribing and dispensing drugs, a doctor writes a prescription to their patients and patients have their prescription filled at the pharmacy. As the number of flue, allergy and atopy patients has increased, waiting lines have been longer at pharmacies. Besides, the current medical service system lacks of providing proper information on prescribed pills to patients. There are already services offered during waiting times such as offering free drinks, magazines or suggesting general drugs which you can buy without prescription, however they neither cover the current medical service's shorts nor shorten the waiting time. Method: I researched objective and perceived waiting times reduction methods, the current service status at pharmacies, and the government's policy direction in a medical service. Also, I observed a patient's journey from the hospital to pharmacy and then home. I examined the circumstance at pharmacies, patients' behaviors and their thoughts during their journey, and extracted three main goals to design a service in order to help patients have positive perception during the waiting time; (1) to reduce the perceived time by the way of visualizing time and offering readings about what patients consider necessary, (2) to educate patients what they are into and how to get through, (3) to establish trust among patients, doctors and pharmacists. Based on three goals, I designed a structure and a wireframe for a new service application of smart phones. Results: With a new service design for pharmacy users, users can track their medical record and visit the information about their current medical treatments anytime. Also the service helps patients build reliable relationships with doctors and pharmacists. Conclusion: Experience is not just an activity but series of multiple activities. The serving range of a medical service should not be determined by stakeholders but user's holistic experience. By approaching a service design with a holistic vision, it can enrich not only a temporary experience but also a whole life well being. Application: Since there are already many service applications advising patients about their illness and finding right doctors, this service design is focused on the experience from getting a prescription till feeling better. The next move is to combine those two parts medical services and design an integrated service application. As a prescription is going to be coded in numbers, we might consider to design an un-attended pharmacy which can shorten huge amount of time for filling prescriptions.

• Health Policy and Management
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• v.19 no.3
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• pp.27-44
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• 2009

The length of stay in emergency departments has been used as a quality indicator to reflect the overall efficiency of emergency care. Identifying characteristics associated with length of stay is critical to monitor overcrowding and improve efficient throughput function of emergency departments. This study examined the level of waiting time for initial assessment by physician and length of stay in emergency departments. Furthermore, we investigated the characteristics of patients' attendance associated with length of stay. An observational study was performed for a sample of 1,526 patients visiting ten nation-wide emergency departments. A structured form was designed to collect information about patients' demographics, route of admission, time and mode of arrival, triage level, cause of attendance, initial assessment time by physician, departure time, and disposition. Multiple regression analysis was performed to determine factors associated with length of stay. The average length of stay was 209.4 minutes (95% confidence interval [CI]=197.1-221.7), with a mean waiting time for initial assessment of 5.9 minutes (95% CI=5.1-6.7). After controlling for emergency department characteristics, increasing age, longer waiting times, attendance due to diseases, higher acuity, multiple diagnoses($\geq$2) and requiring admission or transfer to other health care facilities were positively associated with length of stay in emergency departments. The findings suggest that both patients' characteristics and the flow between emergency departments and parent hospitals should be taken into account in predicting length of stay in emergency departments.