• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1993.10a
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• pp.952-965
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• 1993

A simulation modeling is necessary for the optimal design of a rice processing plant, which consists of a facility (a silo system) of rice drying and storage and a rice mill plant. In a rice processing plant, the production scheduling and the decision on capcity of each unit based on a queuing theory is very important and difficult. In this study a process-oriented simulation model was developed for the design of a rice drying and storage system with SLAMSYSTEM. The simulation model is capable of simulating virtually all the processing activities and provides work schedules which minimize total processing time , mean flow time and bottleneck of the plant system and estimate drying time for a batch in a drying silo. Model results were used for determination the size and capacity of each processing unit and for analyzing the performance of the plant . The developed model was actually applied to construct a grain silo system for rice drying and storage.

• Journal of Biosystems Engineering
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• v.16 no.2
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• pp.159-166
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• 1991

A simulation model was developed for analyzing a crop transport system using SLAMSYSTEM. The developed model could predict total delivered amount and delivery rate of a crop under various conditions of transport and analyze the effects of work factors on the efficiency of the crop transport system. A simulation model was also developed to analyze a rice transport system based on the generalized model of the crop transport system.

• Journal of Biosystems Engineering
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• v.20 no.1
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• pp.47-57
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• 1995

Rice Processing Complex(RPC) have being constructed with a rice mill plant and a facility of drying and storage to overcome problems caused by UR and to produce good quality of rice. An optimal design of a rice mill plant was required to successfully construct and operate it. The development of a simulation model was essential to the design of a rice mill plant. So, all the objectives of this study were to develop a simulation model for the design of a rice mill plant and to develop and evaluate the rice mill system. In this study the simulation model was developed to design a rice mill plant using SLAMSYSTEM, one of simulation languages. The results of this study were as followings. 1. A simulation model was developed with SLAMSYSTEM to represent the processes of a rice mill plant. The simulation model was used to design a rice mill pilot plant with the capacity of 0.5 ton per hour. The rice mill pilot plant was analyzed by the model with alternatives. 2. In the simulation the rice mill system was much influenced by the separating efficiency of a brown rice separator. Especially, the bottleneck of grain flow occurred at the buffer tank for brown rica. separator under 50% separating efficiency of brown rice separator. Hence, as the alternative simulation was conducted under 60% , 70% separating efficiency of brown rice separator, the bottleneck of the system could be minimized at the 60% separating efficiency of brown rice separator. 3. In the alternative simulation the bottleneck of the system was minimized under the hulling capacity of 1 t/h and 60% separating efficiency of brown rice separator with the capacity of 1 t/h. Under such a condition the max. weight of waiting entities at buffer tanks was less 250kg. So, the capacities of the buffer tanks were determined in the basis of simulation results. 4. The milled rice recovery and head rice recovery of the milling system were 74% and 92% in the simulation, respectively. These results of simulation almost corresponded to those of actual rice mill plants. The developed simulation model could be well applied to design a rice mill plant.

• Journal of the Korea Society for Simulation
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• v.4 no.2
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• pp.69-78
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• 1995

Simulation is generally used for the performance analysis and optimization of manufacturing systems. Therefore in this paper using the simulation techniques we obtain the information about the efficiency improvement and the optimization. Because simulation optimization method is subjected to the applied field and environment the general simulation optimization method does not exist. So we do not take the fixed optimization procedure but suggest the alternative one which is modified for applied field. This procedure supplies the optimized simulation information and helps improve the productivity of Geared-Motor assembly line. In order to optimize the manufacturing system we use two simulation languages, FACTOR/AIM and SLAMSYSTEM. The former gives the abundant output information. The latter gives the flexibility in simulation modeling.

• Journal of the military operations research society of Korea
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• v.22 no.2
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• pp.113-125
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• 1996

'Bowl Phenomenon' refers to allocating the work loads to middle stages slightly less than the outer ones in a series production system. Millier and Boling(1966) first discovered that the output rate of a production line were obtained by deliberately unbalancing, like a bowl-shape, under certain circumstances. So far quite a many researches have been studied either theory-oriented or simulation-oriented on this topic. However the papers concerning assemble production line are rather rare possibly due to the system complexity. In this paper, a simulation work on a 6-node assembly line has been conducted with the help of SLAMSYSTEM software. The simulation results have been turned out that 1) the Bowl phenemenon is still valid in the given system, 2) buffer storage between the work stations are critical measure for determining the degree of work-load unbalancing.

• Agricultural and Biosystems Engineering
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• v.2 no.1
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• pp.7-14
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• 2001

A rice mill plant with a capacity of 3 t/h was constructed with automated facilities at Chonnam National University. A simulation model was developed with SLAMSYSTEM for evaluation and improving the rice mill process. The developed model was validated in the views of hulling efficiency, milling efficiency, milled rice recovery, other materials produced, at bottlenecks in the processes. The results of hulling efficiency, milling efficiency, milled rice recovery in the simulation were, respectively, 81.1%, 89,5%, and 73.1%, while those of the actual mill plant were 81.5%, 90.2%, and 73.5%. The simulation results including the rates of other materials(chaff, bran, broken rice, stone, etc) produced in the processes were almost similar with those of the actual process. In the simulation the bottlenecks were found out in the process for separating brown rice and sorting colored rice. These phenomena also appeared in the actual process. It needed to increase the hourly capacities of the brown rice separator and the rice color sorter. As the developed model could well express the automated rice mill plant, it could be used for designing and improving rice mill plants.

• Journal of Biosystems Engineering
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• v.19 no.3
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• pp.194-210
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• 1994

미곡종합처리장(米穀綜合處理場)의 곡물 건조 및 저장시설의 적정 설계를 위해서 시뮬레이션 모델링이 요구되었다. 이에 곡물 건조 및 저장시설인 곡물 사일로 시스템을 설계하기 위해서 SLAMSYSTEM을 이용한 시뮬레이션 모델을 개발(開發)하였다. 곡물 사일로 시스템은 반입(搬入)장치, 조선(粗選)장치, 계량(計量)장치, 건조용(乾燥用) 사일로, 저장용(貯藏用) 사일로 그리고 이송장치들로 구성되었으며 이들 장치와 시스템의 공정들이 네트웍(network)과 프로세스(process) 중심의 시뮬레이션 모델로 표현(表現)되어 분석(分析)되었다. 이 시뮬레이션 모델로 1) 각 공정에서의 원료 처리시간 및 대기시간 그리고 병목현상, 2) 각 기계 및 장치들의 활용도(活用度) 및 이용상태(利用狀態), 3) 물벼의 처리용량 및 건조조건에 따른 건조시간과 건조에 소요되는 에너지 그리고 건조중 발생되는 열손실(熱損失), 4) 반입에서부터 저장에 도달할 때까지의 총 처리시간 및 처리량 등을 분석하였다. 이러한 시뮬레이션 결과 자료를 기초로 하여 각 기계 및 장치의 종류(種類)와 용량(容量) 및 크기를 결정하여 곡물 사일로 시스템을 설계(設計)하였다. 그리고 시뮬레이션에 의해 설계된 사일로 시스템이 실제로 전북 남원에 설치(設置)되었다.

• IE interfaces
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• v.7 no.3
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• pp.171-180
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• 1994

Defined is a Multi-level Parallel Machine Flow-Shop (MPMFS) which reflects some real world manufacturing situations. Just-In-Time (JIT) philosophy is applied to the MPMFS scheduling in order to achieve lowering work-in-process inventory level as well as meeting due dates. A schedule generating simulator is developed. The latest start time of each operation is determined by a backward simulation followed by another forward simulation to analyze the schedule feasibility and actual inventory level. Reasonable schedules are available through adjusting some parameters for allowance factors such as set-up times of machines and other environmental changes. The SLAMSYSTEM under Window is employed for this processing with some input/output data handling processes devised under DOS.