• Title/Summary/Keyword: SIMAN, simulation model

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A Study on the Simulation of JIT Production System Using SIMAN (SIMAN을 이용한 JIT생산시스템의 Simulation 구현)

  • 조성훈;안동규
    • Journal of the Korea Society of Computer and Information
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    • v.3 no.1
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    • pp.113-124
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    • 1998
  • This paper has simulated JIT production system. One of the well-known production management system, JIT, was first developed in Toyota in Japan during 1970's. Its contribution to productivity and quality improvement seemingly predicts its wider use. The JIT system has been proved its effectiveness lot production management system by many industries, however the effectiveness of its application in non-repetitive productions is yet uncertain. In this respect, this paper develope the JIT simulation model, and this JIT model are evaluated by using a SIMAN simulation. It has proved that the performances of JIT model are excellent.

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A modeling of manufacturing system and a model analysis by a SIMAN language (생산공정의 모델링과 SIMAN 언어에 의한 모델분석)

  • 이만형;김경천;한성현
    • 제어로봇시스템학회:학술대회논문집
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    • 1987.10b
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    • pp.300-306
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    • 1987
  • This paper deals with a modeling of manufacturing system and a model analysis by a SIMAN language. A flow of production process is analyzed, and a mathematical model on the basis of the analyzed data is simulated by a SIMAN language. An object of this study is to achieve an optimization of production a reduction of cost, and an improvement of quality by a applicable line-balancing technique and an optimization technique in a real factor induced an analysis and synthesis of the result of simulation.

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Simulation and Analysis of an Automative Assembly Operation at Mercedes-Benz

  • 박영홍
    • Proceedings of the Korea Society for Simulation Conference
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    • 1999.10a
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    • pp.217-217
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    • 1999
  • The main objective of this study is to simulate the design and operational policies of the assembly shop of an automotive plant for planning purposes and to find possible improvements. The simulation study was used to answer the following questions: How does the sequence affect the daily throughput\ulcorner What are the bottlenecks to the assembly lines in a given scenario\ulcorner A Simulation model was developed in accordance with the objective of this study. The model incorporates detailed workstation logic to accurately model downtime results through the use of a pull cord system. It is written with SIMAN. The discrete event feature of SIMAN does not adequately model the conveyor systems of the asembly shop. As a result, a few subroutines were added to the SIMAN modeling structures to mimic the operations of the assembly shop. Use of the model uncovered attractive improvement opportunities, such as a tremendous gain in annual volume if four additional spaces were added to a between-line buffer.

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Determination of Container Terminal Operating System Using Computer Simulation (시뮬레이션 기법을 이용한 컨테이너 터미날의 운영시스템 결정)

  • Jang, Seong-Yong;Park, Jin-U
    • IE interfaces
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    • v.1 no.1
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    • pp.49-62
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    • 1988
  • This paper deals with the case study that determines the best operating system of a container terminal using computer simulation techniques. For the simulation, SIMAN simulation language is used. The simulation model developed circumvents the dimensional restrictions imposed by the SIMAN package. Non-terminating simulation experiments are conducted for the 90 days' work on the basis of operation practices of real terminals.

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A Simulation Model for the performance of process using SIMAN Language in Flexible Manufacturing Systems (유연생산체제에서 SIMAN을 이용한 공정의 수행도 평가를 위한 시뮬레이션 모형)

  • 강영식;함효준
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.20 no.44
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    • pp.153-161
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    • 1997
  • This paper has proposed the modelling by simulation in order to evaluate the performance of process through discrete event simulation using SIMAN language in flexible manufacturing systems. The production system is assumed to be a job shop type of system under the batch production of discrete products. In this paper, the input data is the workstation(process) time, the number of workstation(process), a probability distribution, the number of simulation runs. Also, transient period is considered. In the case study, this paper deals with three products in real flexible manufacturing systems. Finally, a number of simulation runs were executed under different experimental conditions to obtain preliminary statistics on the following performance measures: operating rate of facility and average system operating rate, transient period, central processing unit, average system throughput, and average waiting time in queues.

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Determining Appropriate Production Conditions in Cellular Manufacturing Systems (셀생산(生産)의 효율적(效率的)인 운용(運用)을 위한 시뮤레이션 연구(硏究))

  • Song, Sang-Jae;Choi, Jung-Hee
    • Journal of Korean Institute of Industrial Engineers
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    • v.19 no.2
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    • pp.23-34
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    • 1993
  • Although there are numerous studies that address the problem of optimal machine grouping and part family classification for cellular manufacturing, little research has been reported that studies the conditions where cellular manufacturing is appropriate. This paper, in order to evaluate and compare the job shop with the GT cellular shop, the performance of those shops were simulated by using SIMAN. We tested the effect of independent variables including changes of product demands, intercell flow level, group setup time, processing time variability, variety of material handling systems, and job properties (ratio of processing time and material handling time). And also performance measures (dependent variables), such as machine utilization, mean flow time, average waiting time, and throughput rate, are discussed. Job shop model and GT cellular shop written in SIMAN simulation language were used in this study. These systems have sixteen machines which are aggregated as five machine stations using the macro feature of SIMAN. The results of this research help to better understand the effect of production factors on the performance of cellular manufacturing systems and to identify some of the necessary conditions required to make these systems perform better than traditional job shops. Therefore, this research represents one more step towards the characterization of shops which may benefit from cellular manufacturing.

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A simulation code generator for AGVS design (무인운반차시스템의 설계를 위한 시뮬레이션 코-드 작성시스템)

  • 김갑환;김판수;배종욱
    • Korean Management Science Review
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    • v.11 no.1
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    • pp.1-21
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    • 1994
  • We usually use the simulation technique in the evaluation and the test of a design alternative of Automated Guided Vehicle System. In this paper, we introduce a simulation code generator which can assist simulation programmer in model development and programming. It consists of user interface, program editor, and program sorter. SIMAN is used as the target language.

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Computer Simulation for Analysis of Flexible Manufacturing Systems (자동생산시스템의 분석을 위한 컴퓨터 시뮬레이션)

  • Cho, Kyu-Kab;Oh, Soo-Cheol;Lee, Moon-Ok
    • Journal of the Korean Society for Precision Engineering
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    • v.3 no.2
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    • pp.76-90
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    • 1986
  • This paper discusses the analysis of flexible manufacturing systmes design using computer simulation method. The simulation language employed is SIMAN which is a powerful tool to model flexible manufacturing systems. The important characteristics of FMS, its design and operational problems, and structures based on the number of NC machine tools and their layout are discussed for the appli- cations of FMS to manufacturing. A new algorithm for forming part families and machine groups has been proposed and its software is also developed. Simulation procedure using SIMAN for analysis of FMS designs is discussed and two design problems are analyzed and evaluated to illustrate systemstic procedure for analysis of FMS.

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Analysis of Physical Distribution System in Harbour by Simulation (선박입출항 시뮬레이션을 통한 항만 물류시스템의 분석)

  • 임재민
    • Proceedings of the Korea Society for Simulation Conference
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    • 1998.10a
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    • pp.21-24
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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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A Simulation Analysis of Productivity Increasement Effect of JIT System Application (JTL시스템 적용에 의한 생산성향상 효과의 시뮬레이션 분석)

  • 신현표;구일섭
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.18 no.34
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    • pp.115-121
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    • 1995
  • The objective of this study is to develope an effectiveness measurement technique for U-shaped JIT production line by computer simulation. A small and medium sized automobile brake master cylinder manufacturing plant is studied for productivity improvement The production line is analysed and improved by applying Low Cost Automation, special jigs and fixtures, and facilities layout changes. An experimental simulation model is built using SIMAN(SIMulation ANalysis) simulation software for the production system analysis.

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