• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.4
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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%.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.5
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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.

• Korean Management Science Review
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• v.31 no.2
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• pp.33-48
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• 2014

It is important to maintain on operational availability of aircraft during wartime. The KF-16 fighter, the backbone of the ROKAF (Republic Of Korea Air Force), has a single engine. Therefore, the engine has a critical influence on operational availability. The purpose of this study is to estimate optimal levels of spare part inventories concerning both engines and modules. That is provided by linear programming methods utilizing a developed meta-model. For drawing out the meta-model, we develop a simulation model which can consider wartime demands. In the previous study, $2^k$ factorial design method is used to check the influence of each independent variable. That method requires relatively many scenarios because every extreme value combination of independent variables should be checked. However, this study adopts NOLH (Nearly Orthogonal Latin Hypercube) as an experimental design. By adopting NOLH, this study increases not only efficiency but also accuracy. That is proven by comparing the validity of the developed meta-model on both experimental designs. This study also utilizes the OptQuest simulation tool in ARENA to derive the optimal level of spare stocks. By comparing the result of OptQuest to that of the developed meta-model, the validity of this study is secured.

• Journal of Industrial Technology
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• v.24 no.A
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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.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.21-27
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• 2013

Construction safety is a predominant hindrance in in-situ workflow and considered an unresolved issue. Current methods used for safety optimization and prediction, with limited exceptions, are paper-based, thus error prone, as well as time and cost ineffective. In an attempt to exploit the potential of BIM for safety, the objective of the proposed methodology is to automatically predict hazardous on-site conditions related to the route that the dozers follow during the different phases of the project. For that purpose, safety routes used by construction equipment from an origin to multiple destinations are computed using video cameras and their cycle times are calculated. The cycle times and factors; including weather and light conditions, are considered to be independent and identically distributed random variables (iid); and simulated using the Arena software. The simulation clock is set to 100 to observe the minor changes occurring due to external parameters. The validation of this technology explores the capabilities of BIM combined with simulation for enhancing productivity and improving safety conditions a-priori. Preliminary results of 262 measurements indicate that the proposed methodology has the potential to predict with 87% the location of exclusion zones. Also, the cycle time is estimated with an accuracy of 89%.

• Journal of the Korea Society for Simulation
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• v.15 no.4
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• pp.143-151
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• 2006

This paper deals with the simulation model for design and operations of A-Mart logistic center for low temperature products. In developed simulation model, receiving docks, digital classification system (DCS), shipping docks, material handling devices and manual sorting stations are considered. Five types of cargo such as fruits, palletized fruits, delicatessen and fisheries, vegetables and refrigerated cargoes 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, DCS capacity, 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 DCS throughput, utilization of operators at each station, receiving docks utilization and folk-lift utilization are considered for the alternative evaluation.

• IE interfaces
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• v.14 no.3
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• pp.255-262
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• 2001

Containerization of cargo transportation has been norm in the word wide maritime services, but containerized trades are typically unbalanced in terms of the number of inbound and outbound containers. Therefore it is critical for shipping companies to find operating policy such as the repositioning of empty containers or replenishing of short-term leasing containers from leasing companies to satisfy the freighter's demands of containers. This paper develops a simulation model using ARENA to establish shipping company's operational policy to relocate and replenish empty containers. Furthermore, this study proposes simple and heuristic empty container repositioning rules to minimize the relevant cost in terms of leasing, repositioning, and inventory holding costs.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.12B
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• pp.1988-1995
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• 2000

ATM 망에서 제공되고 있는 음성, 영상, 데이터와 같은 다양한 서비스는 사용자의 만족도를 수용할 수 있어야 한다는 것을 전제조건으로 한다. 이러한 기본적인 요구사항을 충족시키기 위해서는 노드대 노드간의 자원관리와 오류제어 및 다양한 트래픽의 특성을 고려한 전송 순서의 결정에 해당하는 스케줄링 방법이 요구되어 진다. 본 논문에서는 이러한 기술 요소 중에서 트래픽 설정 단계에서 제공되는 트래픽 특성 및 QoS(Quality of Service) 정보를 바탕으로 교환 노드에서 발생되는 전달 지연 시간에 적응적인 스케줄링 방식을 제시하였다. 이 방식은 멀티미디어 서비스와 같이 혼합된 트래픽 특성을 갖는 구조에서 트래픽 구성비율에 따라 적용되는 지연 여유치를 매우 융통성 있고 효과적으로 조절할 수 있다. 성능분석을 위하여 기존의 스케줄링 방식인 WFQ (Weighted Fair Queueing) 방식과 제안한 스케줄링 방식의 수학적인 분석을 수행하였으며 이 두 방식의 결과식을 비교하여 교환노드에서의 평균 지연과 셀 처리에 관한 성능을 분석하였다. 그리고 수학적 분석에 대한 검증으로는 Simulation tool ARENA 3.0을 이용하여 제안한 알고리즘의 Worst case와 기존의 알고리즘의 성능을 비교하였다.

• Proceedings of the KIEE Conference
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• 2001.11c
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• pp.319-322
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• 2001

본 논문에서는 고층빌딩의 화재감지/모니터링 시스템에 대한 기준 모델을 제시하고 제시된 모델의 성능을 시뮬레이션을 통하여 검증하였다. 본 논문에서 제시하는 화재감지/모니터링 시스템 모델은 CSMA/CD 방식으로 동작하며 100 Mbps의 전송속도로 동작하는 Fast Ethernet을 백본망으로 사용하고 하부망으로는 MS/TP를 사용한다. 또한 시스템의 확장성과 유연성을 확보하기 위하여 현재 국내 빌딩 자동화 통신망의 표준 프로토콜로 제정된 BACnet을 기반으로 동작한다. 본 논문에서는 제시된 화재감지/모니터링 시스템 모델의 성능을 분석하기 위하여 이산사건 시스템 모델링 전용 툴인 ARENA를 사용한 시뮬레이션 모델을 개발하였다. 개발된 시뮬레이션 모델을 이용하여 네트워크 지연시간이 화재감지/모니터링 시스템의 성능에 미치는 영향을 분석하였으며, 분석된 결과를 바탕으로 본 논문에서 제시한 화재감지/모니터링 시스템 모델이 고층빌딩의 방화 설비 요구사항을 만족시킬 수 있음을 검증하였다.

• Proceedings of the Safety Management and Science Conference
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• 2013.04a
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• pp.355-365
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• 2013

Many manufacturing industries need more efficient organization since the customer expects a greater response to orders Due to this increased expectation, a supply chain management (SCM) has become one of the most important methods of competitive advantage in business today. This study has developed a simulator for the supply chain management problem. The simulator designed to help determine considering to the capacities and the costs of production and distribution facilities. The simulator developed using commercial simulation tool ARENA and the results of computational experiments for a simple example were given and discussed to validate the developed simulator. The simulator can be used to decide an realistic production-distribution planning in the area.