• Journal of the KSME
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• v.25 no.3
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• pp.204-208
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• 1985

이글에서는 SIMAN을 사용한 생산시스템의 시뮬레이션에 대하여 알아보았다. 1.1 매크로 스브모델 1.2 가공순서와 가공설비의 스케주울 1.3 자재운반 시스템의 모델링 2. SIMAN의 응용사례 SIMAN의 기본이념과 모델링 특성에 관하여 개괄적으로 고찰하고, 주로 생산시스템에 관련된 SIMAN의 특성에 중점을 두어 고찰하였다. SIMAN에서 사용되는 가종 블록에 대하여, 또 다른 여러 가지 모델링 기능에 대하여는 지면 관계상 생략하였다. SIMAN은 일반 목적용 시뮬레이션 언어로써는 물론, 특히 SMS등의 생산시스템의 시률레이션에 아주 유용한 언어로써 이의 광범 위한 활용이 기재된다.

• Journal of the KSME
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• v.25 no.2
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• pp.117-121
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• 1985

SIMAN의 주요한 논리적 특성은 시뮬레이션프로그램이 시스템 모델부분과 실험부분의 두가지로 구성이 되어 있으며, 일반적인 시스템의 모델링과 분석뿐만 아니라, 자재운반시스템, 로봇 시스템, 제조 셀(manufacturing cell), 플렉시블 제조시스템(Flexible Manufacturing System, FMS)등의 모델링에 유용한 특성을 가지고 있어서 생산시스템의 시뮬레이션에 아주 적합한 시뮬레이션 언 어이다. 또 SIMAN은 대형. 중형 컴퓨터는 물론, 16비트 바이크로컵퓨터에서도 사용이 가능하 다(5). 이 글에서는 SIMAN 시뮬레이션 언어를 사용한 생산시스템의 시뮬레이션에 대한 개념과 방법을 고찰하고, 생산시스템의 시뮬레이션에 관한 간단한 사례를 고찰하고자 한다.

• 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.

• Journal of Korean Institute of Industrial Engineers
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• v.17 no.1
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• pp.59-73
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• 1991

In this paper, how to evaluate the assembly system was studied. The traction machine(TRM/C) is a kind of medium sized small quantity product. This work was performed on restriction of satisfying the customer's demand by simulating on the criteria of the queuing quantity in production system, the effectiveness of assembly machine and the average time spent on assembling. The problems about assembling were grasped through the analysis of products and process. The outputs of simulations that used SIMAN on four alternatives were evaluated on the basis of the average queuing quantity, the line effectiveness, the assembly time of a product and the production capacity.

• 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.

• 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.

• 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.

• 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.

• 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.

• Journal of Korean Society for Quality Management
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• v.12 no.1
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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.