• 제목/요약/키워드: SIMAN, simulation model

검색결과 26건 처리시간 0.021초

시뮬레이션에 의한 AGV 최적대수 결정 (Determination of Optimal Number of AGV by Simulation)

  • 이문섭;이상용
    • 대한산업공학회지
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    • 제16권1호
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    • pp.59-65
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    • 1990
  • In the design of AGVS (Automated Guided Vehicle Systems), one of the important problem is to determine the number of AGVs required to provide a given level of transport service. At present, there are two kind of methods to determine the number of AGVs, the one is to use the mathematical model, the other is to use the simulation technique. Among these, simulation based technique is more reliable than analytical method. In this sense, this paper intend to determine the optimal number of AGVs using personal computer simulation by SIMAN Ver.3.5.

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CIM 환경에서 프로세스 설계를 위한 시뮬레이션 코드의 자동 생성에 관한 연구 (A Study on the Generation of Simulation Codes for Process Design under CIM Environments)

  • 박찬권;김기태;장성용;박진우
    • 한국시뮬레이션학회논문지
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    • 제6권1호
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    • pp.25-40
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    • 1997
  • This study deals with an autonomous generation of simulation codes for the design of processes of c CIM system based on the concept of model transformation. We assume we have a functional model of an organization which is developed using the well-known IDEF0 methodology. Then, a modeling methodology, called PROWD(PRocess flOW Description), is suggested to develop the flow processes of the organization. To Derive simulation specifications for the transformed PROWD model, we define a module of a "unit system" for each activity of PROWD model. Then specifications for system entities and resources are derived from input/control/mechanism/output and entity flows of PROWD model. Entitiy queues are defined from the sates and events of unit systems. Finally, SIMAN model frame is generated from those specifications through a suggested algorithm. The implementability and validity of the proposed approach is tested by developing a prototype of a computer-assisted design system on the operation processes of FMS installed at SNU-ASRI (Seoul National University-Automation and Systems Research Institute).nstitute).

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항만 물류시스템 분석을 위한 시뮬레이션 모델 개발 (Development of Simulation Model for Analyzing the physical Distribution System in Ports)

  • 임재민;유병세;김홍태
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 1998년도 추계학술대회논문집:21세기에 대비한 지능형 통합항만관리
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    • pp.99-105
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    • 1998
  • Simulation modeling has become an extremely important approach to analyzing complex system. In recent years the number of people using simulation as problem-solving aid has increased. In this Paper, we developed a simulation model for analyzing the physical distribution system in ports. we used Arena 2.2 which is a kind of simulation software based common simulation language, SIMAN V. And then, we applied this model to kwangyang port(partially) and analyzed the effect of it upon port system in according to change of the quantity of goods transported.

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간섭현상을 고려한 생산/재고 정책의 시뮬레이션 분석 (A Simulation Analysis of Producton/Inventory Policy with Interference)

  • 박회룡;최진영
    • 산업경영시스템학회지
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    • 제18권35호
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    • pp.131-138
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    • 1995
  • For the purpose of the reduction of tile cost, a production/inventory model including the interference phenomenon was developed. By investigating the cause and the characteristics of the direct/indirect cost due to the interference phenomenon, a strategy for suitable production was developed. The developed model was quantitatively validated using an existing-EPQ model and the SIMAN package was used to simulate and animate the model. Consequently, it was presented that the total operating cost of the system could be decreased with tile proposed model.

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다중요소 상호간의 연관성과 연속적 시뮬레이션 기법을 이용한 생산성 측정방법에 관한 연구 (Multi-]factor Analysis of Firm-Level Performance Through Feed-Forward, Feed-Back Relationships)

  • 박영홍
    • 한국시뮬레이션학회논문지
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    • 제11권1호
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    • pp.59-70
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    • 2002
  • This article presents the results of research to develop a descriptive model of firm-level productivity that will allow a myriad of factor interactions to be directly accounted for. The model is a linked set of equations that attempt to capture how changes in one-factor influences the level of another factor. and ultimately bottom-line performance. The model is coded in SIMAN. It is used to determine the best use of an infusion of funds should they go for additional automation, or training etc. An application of the model to U.S. industry is presented based on parameter values obtained through a national survey.

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Konnex 와 LnCP 네트워크의 시뮬레이션 성능 평가 (Simulation Performance Evaluation of KNX and LnCP network)

  • 최병훈;하경남;김현희;이경창;이석
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2004년도 추계학술대회 논문집
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    • pp.203-206
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    • 2004
  • Recently home network has been developed in the field of Information Technology. And there are many protocols for smart home, such as Lonworks, Echonet, KNX, LnCP etc. However, the performance evaluation has not been nearly known between the protocols. Hence, this paper evaluates the performance of KNX by Konnex Association and LnCP(Living network Control Protocol) by LG Electronics. We developed simulation model using flowchart of KNX and LnCP and simulation scenario through analysis of message to be generated in the home network. Furthermore, we evaluate simulation performance, such as mean transmission delay, maximum transmission delay, and collision rate of both protocols.

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전자레인지 조립라인의 생산물류 분석 시뮬레이션 (A Simulation Study to Analyze Production and Material Flow of a Microwave Oven Assembly Line)

  • 조규갑;문일경;윤원영;김영규
    • 산업공학
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    • 제12권1호
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    • pp.121-131
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    • 1999
  • In this article, a simulation model of a microwave oven assembly line is developed to identify system parameters to improve the system performances such as work-in-process inventories, production lead time, mean earliness, mean tardiness and in-time completion rate. System parameters investigated include dispatching rules, lot sizing, setup time reduction, demand increase, productivity improvement, production scheduling, hardware characteristics, etc. The model has been developed using SIMAN simulation language which has been demonstrated to be a powerful tool to simulate complex manufacturing systems. We have suggested the results obtained to improve the system performances of an existing production line.

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Flow Line 분석을 위한 시스템 모델링 및 시뮬레이션 연구 - 타이어 공장의 사상라인을 중심으로 - (System Modeling and Simulation Study for the Analysis of Flow Lines)

  • 최병규;박정현;황문호;김재희
    • 산업공학
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    • 제4권1호
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    • pp.71-81
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    • 1991
  • Presented in this paper is a systematic approach to "modeling and simulation' of flow lines in mass production systems, using a tire trimming line as an example. The "modeling phase" consists of 1) generation of alternative line configurations, 2) construction of a reference model for each alternative, and 3) formal description of the target system. ACD(Activity Cycle Diagrams) are employed as a tool for formal description. In the "simulation phase'. block diagram models (provided by the simulation language SIMAN) and the next event methodology(implemented in FORTRAN 77) are combined in order to fully describe the flow line behavior.

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확정적 경우의 유연생산시스템 성능평가방법 (FMS Performance Evaluation Method of Deterministic Model)

  • 황규완;배홍석
    • 산업경영시스템학회지
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    • 제19권37호
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    • pp.71-85
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    • 1996
  • There are studied on the evaluation of flexibility and design/operation of FMS. However. a new method that can assess the performance of FMS is propose in this study. To evalute the performance of an FMS the ordinary for total cost is not applied. Instead, a specially developed cost function is used to measure the performanced of proposed systems. The procedure is developed for deterministic variables cases. An FMS can produce various products systematically under computer control the evaluation of an FMS operation is not a simple task. The proposed procedure is done through computer simulation due to the complicated nature of the problem. A simulation model is developed using SIMAN and FORTRAN for practical application.

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조정 가능한 시뮬레이션을 사용하여 최적 혼성 시스템을 찾아내기 위한 의사 결정 지원시스템 구축 (Decision Support System by using Tunable Simulation for Optimally Mixed Systems)

  • 김성수
    • 산업공학
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    • 제10권3호
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    • pp.209-216
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    • 1997
  • This mixed push and pull production system defines that all stages are not ordered by either of the production systems. Some stages are ordered by a push-type production system and the other stages are ordered by a pull-type production system. A decision support system is built by using a combination of optimization program and the "tunable" SIMAN discrete-event simulation for the implementation of an optimally mixed production system. Finding this optimal system requires 6 CPU hours for the case study on a Pentium. Both the simulation and optimization model are validated with a case study of Phoenix company that manufactures transmitters. This paper uses survey from experts in this company for evaluation and validation of this system.

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