• 산업공학
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• 제20권1호
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• pp.21-32
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• 2007

This paper deals with the simulation model for A-Mart logistic center design and operations. In developed simulation model, receiving docks, conveyor sorter, conveyor system, shipping docks, material handling devices and manual sorting stations are considered. Three types of cargo such as transfer center cargo, distribution center cargo and supermarket cargo are considered. The simulation model and process animation are developed using the simulation package ARENA. Among various design and operation alternatives consisting of the number of workers of receiving dock, allocation of receiving docks by cargo types, conveyor sorter velocity, the number of folk-lift, the number of manual sorting operators and overall layout, the best alternatives of each subsystem are selected by simulation analysis. The major performance measures such as sorter throughput, utilization of operators at each station, receiving docks utilization and folk-lift utilization are considered for the alternative evaluation.

• 산업경영시스템학회지
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• 제30권4호
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• pp.30-38
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• 2007

In this study, we propose an RFID based container terminal operation process. Field tests are conducted for 900 MHz (truck identification) tag and 433 MHz RFID (container identification/e-seal) tag at an Incheon container terminal to verify possibility of applying RFID in the container terminal gate. To evaluate effect of applying RFID in the container terminal operation, simulation models for current and RFID based container terminals are developed using ARENA. Simulations are carried out using industrial field data and the result indicates that performance of the container terminal can be prominently improved after RFID application.

• 산학경영연구
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• 제13권
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• pp.263-273
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• 2000

벤츠(현 다임-클라이슬러)자동차회사는 새로운 공장을 미국 앨라배마 주 Vance 지역에 건설하고 이곳 공장으로부터 스포츠-레저용의 4륜 구동 M-class 자동차를 생산하고 있다. 이 벤츠공장의 생산라인은 차체형성공정, 도장공정, 그리고 엔진조립 공정으로 나누어져 있고 이들 생산라인사이에는 한 라인에서의 고장(down)이 다른 라인에 파급되지 않도록 완충라인(Buffer)이 설치되어 있다. 본 연구의 목적은 일정한 비율의 고장률을 각 생산라인에 적용시켰을 때 주어진 생산목표(270대)를 달성할 수 있는지, 만약 달성할 수 없다면 가장 문제가 되는 생산라인은 어디인지, 또 생산라인 사이에 존재하는 완충라인이 어느 정도의 완충역할을 하는지, 최적의 생산능력을 유지하기 위한 완충라인의 크기는 어느 정도인지 등, 각종 생산라인의 운영지침(operation policy)들을 시뮬레이션 기법을 이용하여 탐색한 후 병목생산시설(bottleneck)을 찾아내는 것이다. 본 연구를 위한 시뮬레이션 도구로는 ARENA를 이용했고 20일 간의 시뮬레이션 결과를 종합하여 분석하였다. 또 신뢰구간 95% 범위에서 각 생산라인의 최대 생산능력도 측정하여 실제 생산대수와의 차이를 규명할 수 있는 근거를 제공하였다.

• 산업공학
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• 제18권4호
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• pp.454-464
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• 2005

In Postal logistics, the efficient design and operation of transportation network is very important issue. But, it is hard to operate the postal transportation network flexibly according to the change of mail volume. In Korea post, a transportation plan is pre-determined and the transportation of mail is performed through the routes in the plan. When the routes cannot transport all mail, temporary vehicles are used. In the postal transportation, it is important to make a good transportation plan and to manage the plan efficiently. But the change of transportation plan is not a simple work because hundreds of vehicles and persons are related to the plan. So, a methodology to check the effect of the change of the transportation plan in advance is required. In this paper, we develop a simulation model to evaluate the performance of a postal transportation plan. We implement the simulation model and develop an information system including user interface for managing data and simulation results. We apply our simulation model and system to the real change of transportation plan.

• 대한산업공학회지
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• 제40권5호
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• pp.481-491
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• 2014

In this paper, we discussed a problem for improving the throughput of a crankshaft manufacturing line in an automotive factory in which the budget for purchasing new machines and installing additional buffers is limited. We also considered the constraint of available space for both of machine and buffer. Although this problem seems like a kind of buffer allocation problem, it is different from buffer allocation problem because additional machines are also considered. Thus, it is not easy to calculate the throughput by mathematical model, and therefore simulation model was developed using $ARENA^{(R)}$ for estimating throughput. To determine the investment plan, a modified Arrow Assignment Rule under some constraints was suggested and it was applied to the real case.

• 한국멀티미디어학회논문지
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• 제23권3호
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• pp.460-467
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• 2020

The medical service, accompanied by various disease and disease of modern people, must collect various information about patients through various tests, and demand continued to increase. As a result, interest in waiting time for medical services is rising, and various studies are underway to reduce waiting time. However, medical procedure is complex and diverse in the procedure of the services need to be conducted for each procedure. In this study, we are going to propose ways to improve the waiting time of the test procedures that are basically experienced by outpatients through the simulation experimental method. Based on the actual measurement data, the Arena Simulation program was used to implement the hospital's ophthalmic examination model and alternative model. Through this analysis, the waiting time of the examination procedure, the size of the queue, and density of the waiting room were analyzed.

• 산업공학
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• 제18권1호
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• pp.35-43
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• 2005

A production system in domestic shoes companies has difficulty in achieving automation and information because of insufficiency of flexibility and standardization. Particularly small and medium sized shoes companies producing by OEM have tendency to chase the given production schedule blindly without considering major factors that may affect the production. Therefore, the production schedules or the process conditions can not be optimally set and are extemporized by the experience in the past. These behaviors cause low productivity and financial loss. To maximize efficiency and productivity of the shoe-making process, we develop a simulation model based on a production system in small and medium sized shoes companies. The model has been developed using ARENA which has been demonstrated to be a powerful tool to simulate various manufacturing systems. Using the simulation model, we find out several problems for the production process, and then suggest several alternatives to improve the system.

• 산업기술연구
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• 제24권A호
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• pp.37-46
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• 2004

A performance analysis for newly being considered electric rail car office has been made in this study. The major purpose is to examine a proposed design in terms of its capacity and the proposed number of travels (82-84) per day. For this study we first examined the overall system configuration with detailed operational processes of cleaning and inspection. We then developed a simulation model using ARENA and designed input data from 12 selected factors and their interaction effects. A simulation run for each treatment combination of $L_{16}(2^{15})$ orthogonal array was run and 20 batch means were obtained. Through careful analyses of the results obtained, we drew a diversity of suggestions including the best factor level combination. Our confirmation experiments at the optimal level combination further validate the possibility of 82 runs and the consistency in the results.

• 한국국방경영분석학회지
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• 제33권2호
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• pp.1-15
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• 2007

현재 항공작전은 작전에 영향을 미치는 각종 장애요인들을 고려하지 않고 있다. 보다 효율적인 항공전력운용을 위해서 이들 장애요인들을 예상하고 대비한다면 좀 더 실질적인 항공작전 계획수립에 도움이 될 것이다. 본 연구는 이들 장애요인들이 항공전력 산출에 미치는 영향을 파악하여 항공작전 임무수행 능력, 가용전력 파악을 통해 효과적인 진력 운용에 대해 분석하였다. 이를 위하여 시뮬레이션 분석 도구인 AREA 10.0을 사용하였다. 본 연구에서는 항공전력 산출의 장애요인을 기상, 화생방 상황, 항공기 고장, 적 교전 손실의 4가지로 한정하여 분석하였다. 또한 민감도 분석을 통해 전천후 부장 사용 및 화생방 상황 증가에 따른 전력 산출의 변화를 분석하여 전시 항공작전 장애요인이 전력산출에 끼치는 영향에 대해서 연구하였다.

• 산업경영시스템학회지
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• 제32권4호
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• pp.17-24
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• 2009

The purpose of this research is to find the reasons of overcrowding in the emergency department of an hospital, then to shorten the total stay time of patients. The fact that main causes of the overcrowding exist in the process of the emergency department was discovered by analysis of the data. In order to improve these process, simulation model was developed by ARENA 7.0. Staff's service time, staff's organization, process ratio, and patient's waiting time were estimated in the simulation model in consideration of the decision of the patient's course of action. Several scenarios such as the simplification of the process, the setup of dedicated pathology lab, and mixed method were suggested and evaluated. Total stay time of the patients would be reduced up to 28.45%.