• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 1994년도 추계학술발표회 및 정기총회
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• pp.12-12
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• 1994

Simulation output knowledge analysis is one of problem-solving and/or knowledge adquistion process by investgating the system behavior under study through simulation . This paper describes an approach to simulation outputknowldege analysis using fuzzy neural network model. A fuzzy neral network model is designed with fuzzy setsand membership functions for variables of simulation model. The relationship between input parameters and output performances of simulation model is captured as system behavior knowlege in a fuzzy neural networkmodel by training examples form simulation exepreiments. Backpropagation learning algorithms is used to encode the knowledge. The knowledge is utilized to solve problem through simulation such as system performance prodiction and goal-directed analysis. For explicit knowledge acquisition, production rules are extracted from the implicit neural network knowledge. These rules may assit in explaining the simulation results and providing knowledge base for an expert system. This approach thus enablesboth symbolic and numeric reasoning to solve problem througth simulation . We applied this approach to the design problem of broadband communication network.

• 한국시뮬레이션학회논문지
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• 제27권3호
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• pp.65-73
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• 2018

본 논문에서는 시뮬레이션 분석 과정의 복잡성을 줄이고 시뮬레이션 다량 수행을 가능토록 하기 위해 Elastic Stack 기술을 이용한 시뮬레이션 결과 분석 환경을 제안한다. 제안된 Elastic Stack 기반 시뮬레이션 결과 분석 환경은 물리적으로 떨어진 다양한 자원 상에서 수행되고 있는 시뮬레이션의 결과들을 중앙의 분석 서버로 자동 전송하고, 전송된 데이터들을 일괄적으로 관리하여 일련의 처리 및 분석 작업이 쉽게 적용될 수 있도록 지원하며, 다양한 가시화를 제공하는 서비스를 연결하여 분석 결과를 게시하는 과정을 손쉽게 구성할 수 있도록 지원한다. 또한, 각 서비스를 네트워크를 이용한 느슨한 연결 상태로 수행할 수 있어 확장성(scalability)을 제공한다. 제안된 시뮬레이션 결과 분석 환경의 유용성을 확인하기 위해 전염병 확산 시뮬레이션을 수행하고 별도의 분리된 서버에서 이에 대한 일련의 분석이 진행되는 과정을 보인다.

• 대한산업공학회지
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• 제20권4호
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• pp.73-84
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• 1994

Output analysis is one of the most important fields of simulation to achieve the accurate simulation results. This study shows how to analyze simulation output data in the steady state using Procrustes analysis technique which has not been used in the field of simulation yet. In this paper Procrustes analysis method is used to perform the analysis of simulation output efficiently and effectively by applying the improved version of the method. The experiments are conducted using M/M/1 queueing simulation model. The results obtained by Procrustes analysis method show better estimates for average waiting times and average queue lengths which are closer to true values and narrower confidence intervals than when replication-deletion method is used. Also it requires the smaller number of simulation runs.

• 한국전자통신학회논문지
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• 제9권8호
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• pp.883-888
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• 2014

시뮬레이션은 현대의 복잡한 환경에서 효율적인 의사 결정을 위한 도구로서 폭넓게 사용되고 있다. 하지만, 대부분은 결과의 분석 보다는 시뮬레이션 모델의 개발 및 수행에 중점을 두고 있다. 본 논문에서는 시뮬레이션 모델링은 물론 결과의 분석도 중요하고 체계적으로 진행되어야 한다는 점을 강조하고, 이를 위하여 통계분석과 다양한 데이터 조작 및 그래픽 기능을 가진 R을 사용하여 이윤 최적화 시뮬레이션에 대한 모델링과 결과 데이터의 조작 및 다양한 그래픽을 사용한 분석 작업을 수행하여 유용성을 입증하였다.

• 품질경영학회지
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• 제12권1호
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• pp.17-30
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• 1984

A computer method is developed for group technology layout and its simulation analysis. The method is composed of three phases: Phase I sorts the parts by its similar production routes and forms part families. Phase II plots the layout by machine cell and evaluates the group layout alternatives by the total process time analysis and the part travel distance evaluation analysis. Phase III also evaluates the alternatives by simulation analysis using SIMAN simulation software. All the computer programs are developed with BASIC except SIMAN simulation.

• 한국철도학회논문집
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• 제10권3호
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• pp.306-312
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• 2007

This paper presents the optimal design method of the train repair facility based on the simulation analysis. The train is divided into the power car, motorized car and passenger car for the simulation process analysis and train repair facility is composed of each subsystems such as a blast, dry and wash workshop. In simulation analysis, we consider the critical (dependent) factors and design (independent) factors for the optimal design. Therefore, a simulation optimization uses Evolution Strategy (ES) in order to find the optimal design factors. Experimental results indicate that simulation design factors are sufficient to satisfy the conditions of dependent variables. The proposed analysis method demonstrates that simulation design factors determined by the simulation optimization are appropriate for real design factors in a real situation and the accuracy and confidence for the simulation results are increased.

• 한국시뮬레이션학회논문지
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• 제4권1호
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• pp.87-97
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• 1995

Simulation techniques are used to improve the productivity of a textile factory. A simulation model is developed for the analysis of investment for dyeing process equipment, such as dryers and bleachers. For modeling and analysis, AIM (Analyzer for Improving Manufacturing) is used. AIM is a manufacturing oriented simulation software developed by Pritsker Corp. AIM provides interactive model building and simulation, automatic animation, and powerful graphic outputs. thereby, drastically reducing modeling efforts and also enhancing communication capabilities.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2001년도 춘계 학술대회 논문집
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• pp.169-169
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• 2001

With the aid of fast computing power, resampling techniques are being introduced for simulation output analysis (SOA). Autocorrelation among the output from discrete-event simulation prohibit the direct application of resampling schemes (Threshold bootstrap, Binary bootstrap, Stationary bootstrap, etc) extend its usage to time-series data such as simulation output. We present a new method for inference from a regenerative process, regenerative bootstrap, that equals or exceeds the performance of classical regenerative method and approximation regeneration techniques. Regenerative bootstrap saves computation time and overcomes the problem of scarce regeneration cycles. Computational results are provided using M/M/1 model.

• ETRI Journal
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• 제37권1호
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• pp.175-185
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• 2015

This paper presents a system-of-systems (SoS) approach to the formal modeling of a cyber-physical system (CPS) for simulation-based analysis. The approach is based on a convergence technology for modeling and simulation of a highly complex system in which SoS modeling methodology, hybrid systems modeling theory, and simulation interoperation technology are merged. The methodology maps each constituent system of a CPS to a disparate model of either continuous or discrete types. The theory employs two formalisms for modeling of the two model types with formal specification of interfaces between them. Finally, the technology adapts a simulation bus called DEVS BUS whose protocol synchronizes time and exchange messages between subsystems simulation. Benefits of the approach include reusability of simulation models and environments, and simulation-based analysis of subsystems of a CPS in an inter-relational manner.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2001년도 The Seoul International Simulation Conference
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• pp.72-76
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• 2001

Experimental design in simulation provides an efficient way of economizing simulation runs since a considerable number of simulation runs that originally were planned can be reduced by this approach. This experimental design method is an active area of research together with the output analysis and so no single panacea seems to exist so far. Thus, selection of techniques of experimental design and output analysis more lithely depends upon the objective of simulation analysis, budget constraint and sometimes the analysts subjective judgment. This paper attempts to describe an experimental design methodology for port investment analysis using a case study in a bulk terminal in Korea. Detailed display will be focused on simulation period, warm-up period, the number of replications needed in production runs after brief explanation on the system configuration.