• Title/Summary/Keyword: Production logistics simulation

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A Simulation Study for Analyzing an on-Demand Semiconductor Wafer Process (주문형 반도체 웨이퍼 공정분석을 위한 시뮬레이션 연구)

  • Kim, Ki-Young;Lee, Jung-Ho;Kang, Chang-Ho;Kim, Kap-Hwan
    • IE interfaces
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    • v.18 no.1
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    • pp.22-34
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    • 2005
  • This paper introduces a simulation model which is based on the process analysis of a semiconductor company. The objective of the simulation modelis not only to estimate the overall performancesof the company but also to evaluate the performances of various operation rules for shop floor control. First, in order to develop the simulation model, a time study is performed for each process after analyzing the processes for the company. Second, by using ARENA, a simulation model is constructed based on the process analysis and the time study. After the simulation model is tested and run, its results are discussed.

A Case Study of Simulation-based Feasibility Analysis of Replacement of Inspection Equipment for Switchboards (시뮬레이션 기반 배전반 검사장비 교체의 타당성 분석에 관한 사례연구)

  • Han, Young Jin;Yi, Do Yoon;Hong, Jun Pyo;Joo, Sung Ho;Kim, Gi Min;Park, Jaehun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.45 no.1
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    • pp.83-90
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    • 2022
  • This study deals with replacement analysis of deteriorated equipment for improving productivity of production system. Frequent breakdown of the deteriorated equipment causes a situation that reduces productivity such as low product quality, process delay, and repair cost. However, the replacement of new equipment will be required a high initial investment cost, so it is important to analysis the economic feasibility. Therefore, we analyze the effect of the production system due to the aging effect of the equipment and the feasibility of equipment replacement based on the economic analysis. The process flow, working time, logistics movement, etc. are analyzed in order to build the simulation modeling for a ship and land switchboard production system. Using numerical examples, the economic feasibility analysis of equipment replacement through replacement of existing deteriorated equipment and additional arrangement of new facilities is performed.

A Case Study on Lead Time Improvement Using a Simulation Approach (시뮬레이션 방식을 이용한 리드 타임 개선 사례 연구)

  • Ro, Wonju;Sim, Jaehun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.2
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    • pp.140-152
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    • 2021
  • During the shift from gasoline vehicles to electric ones, auto parts manufacturing companies have realized the importance of improvement in the manufacturing process that does not require any layout changes nor extra investments, while maintaining their current production rate. Due to these reasons, for the auto part manufacturing company, I-company, this study has developed the simulation model of the PUSH system to conduct a process analysis in terms of production rate, WIP level, and logistics work's utilization rate. In addition, this study compares the PUSH system with other three manufacturing systems -KANBAN, DBR, and CONWIP- to compare the performance of these production systems, while satisfying the company's target production rate. With respect to lead-time, the simulation results show that the improvement of 77.90% for the KANBAN system, 40.39% for the CONWIP system, and 69.81% for the DBR system compared to the PUSH system. In addition, with respect to WIP level, the experimental results demonstrate that the improvement of 77.91% for the KANBAN system, 40.41% for the CONWIP system, and 69.82% for the DBR system compared to the PUSH system. Since the KANBAN system has the largest impacts on the reduction of the lead-time and WIP level compared to other production systems, this study recommends the KANBAN system as the proper manufacturing system of the target company. This study also shows that the proper size of moving units is four and the priority allocation of bottleneck process methods improves the target company's WIP and lead-time. Based on the results of this study, the adoption of the KANBAN system will significantly improve the production process of the target company in terms of lead-time and WIP level.

A Simulation Evaluation of Aisle Design and Operation Policies for an Automated Storage and Retrieval System with Narrow-/Wide-Width Racks (다품종 조립라인 자동화 물류창고의 이형 랙 배치 및 운영정책 시뮬레이션 평가)

  • Bosung Kim;Jeongtae Park;Soondo Hong
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.1
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    • pp.68-75
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    • 2023
  • In an automotive plant, an automated storage and retrieval system (ASRS) synchronizes material handling flows from a part production line to an auto-assembly line. The part production line transfers parts on small-/large-sized pallets. The products on pallets are temporarily stored on the ASRS, and the ASRS retrieves the products upon request from the auto-assembly line. Each ASRS aisle is equipped with narrow-/wide-width racks for two pallet sizes. An ASRS aisle with narrow-/wide-width racks improves both storage space utilization and crane utilization while requiring delicate ASRS aisle design, i.e., the locations of the narrow-/wide-width racks in an ASRS aisle, and proper operation policies affect the ASRS performance over demand fluctuations. We focus on operation policies involving a common storage zone using wide-width racks for two pallet sizes and a storage-retrieval job-change for a crane based on assembly-line batch size. We model a discrete-event simulation model and conduct extensive experiments to evaluate operation policies. The simulation results address the best ASRS aisle design and suggest the most effective operation policies for the aisle design.

A Shipment Estimation of Agricultural Products Based on Garlic Using Tank Model (탱크모형에 의한 농산물의 출하예측 -마늘을 중심으로-)

  • Suh, Kyo;Lee, Jeong-Jae
    • Journal of The Korean Society of Agricultural Engineers
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    • v.47 no.2
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    • pp.35-44
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    • 2005
  • While the need for analyzing and interpreting agricultural logistics are becoming more and more prominent with the rapid changes within the agricultural environment, previously mathematical models have been proved to have its limitations due to the unpredictable traits of agriculture itself and finding the adequate simulation model is not easy. Therefore, in this research, the tank model that has been used to analyze the rainfall-runoff in watersheds, was used to develop a logistics model for estimating shipment by agricultural production. The model was certified by wholesale market data of garlic.

Quality Verification of Legacy Data of Manufacturing Information System to Improve Results of Shipyard Manufacturing Logistics Simulation (조선소 생산물류 시뮬레이션 결과 정도 향상을 위한 생산정보시스템 기간 정보 검증)

  • Lee, Jonghak;Lee, Philippe;Yoon, Kyungwon;Nam, Jong-Ho
    • Journal of the Society of Naval Architects of Korea
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    • v.51 no.6
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    • pp.510-520
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    • 2014
  • Unlike other mass production in small variety, shipbuilding process is a project-based method in single variety, which causes unpredictable volatility in the planning system. In shipyards, series of manufacturing processes from fabrication to erection is sequentially carried out. In order to predict unfavorable changes such as overload or low load of working volume, computerized simulation has been being gradually adopted. The data used in the simulation are processed from the database of the main scheduling and planning system. Thus the quality of those data is very crucial for the meaningful results. Unfortunately, research on the verification of data quality is very rare and hardly known to the authors. In this work, using the database of scheduling and product information system of a large domestic shipyard, the data required for the simulation are qualitatively analyzed and verified.

AGV Distance Learning Model Based on Virtual Simulation (가상 시뮬레이션 기반의 AGV 원격 교육 모델)

  • Jin, Go-Whan
    • Journal of the Korea Convergence Society
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    • v.11 no.11
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    • pp.41-46
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    • 2020
  • The start of the Fourth Industrial Revolution has brought about various changes in the domestic industry in general, and smart factories have spread to companies in the fields of production, manufacturing and logistics, and they are using automation equipment. Especially in the field of logistics automation, AGVs are widely used, and most of them use the line guidance system, which is the traditional AGV drive system. In addition, the demand for AGV system developers, system operators and managers, and maintenance personnel is increasing, and the installation of systems for education is expensive and requires a large space to utilize. It is a situation where systematic education is difficult. In this paper, we propose a virtual simulation-based AGV distance education model for smooth practice of trainees. The proposed model consisted of a model that can drive the AGV by analyzing video information, instead of the line guidance method that is the conventional technology. As a result of self-diagnosis evaluation, it was confirmed that the experimental group through online education had an average satisfaction level of 0.65 higher than the control group using existing equipment, and that it could be used in an online education environment.

A Study on Simulation of Chip Recycling System for the Management of Cutting Chip in 5-Axis FMS Line (5축 FMS라인의 절삭 칩 처리를 위한 칩 회수처리장치 시뮬레이션에 관한 연구)

  • Lee, In-Su;Kim, Hae-Ji;Kim, Deok-Hyun;Kim, Nam-Kyung
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.12 no.6
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    • pp.175-181
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    • 2013
  • The primary element of machining automation is to maximize the utilization of machine tools, which determines the output and lead-time. In particular, 95% of raw materials for wing ribs are cut into chips and 0.6 ton of chips are generated every hour from each machine tool. In order to verify the chip recycling system that controls the chips from the machines in five-axis FMS line, a simulation of the virtual model is constructed using the QUEST simulation program. The optimum speed of the chip conveyor and its operating conditions that directly affect the efficiency of the FMS line are presented including the chip conveyor speed, the maximum capacity of the hopper, and the number of chip compressors.

A Deep Learning-Based Model for Predicting Traffic Congestion in Semiconductor Fabrication (딥러닝을 활용한 반도체 제조 물류 시스템 통행량 예측모델 설계)

  • Kim, Jong Myeong;Kim, Ock Hyeon;Hong, Sung Bin;Lim, Dae-Eun
    • Journal of Industrial Technology
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    • v.39 no.1
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    • pp.27-31
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    • 2019
  • Semiconductor logistics systems are facing difficulties in increasing production as production processes become more complicated due to the upgrading of fine processes. Therefore, the purpose of the research is to design predictive models that can predict traffic during the pre-planning stage, identify the risk zones that occur during the production process, and prevent them in advance. As a solution, we build FABs using automode simulation to collect data. Then, the traffic prediction model of the areas of interest is constructed using deep learning techniques (keras - multistory conceptron structure). The design of the predictive model gave an estimate of the traffic in the area of interest with an accuracy of about 87%. The expected effect can be used as an indicator for making decisions by proactively identifying congestion risk areas during the Fab Design or Factory Expansion Planning stage, as the maximum traffic per section is predicted.

Comparative Study of GPS-Integrated Concrete Supply Management using Discrete Event Simulation

  • Zekavat, Payam Rahnamayie;Mortaheb, Mohammad Mehdi;Han, Sangwon;Bernold, Leonhard
    • Journal of Construction Engineering and Project Management
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    • v.4 no.2
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    • pp.31-40
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    • 2014
  • The management of vehicular supply of "perishable" construction material, such as concrete mixes, faces a series of uncertainties such as weather, daily traffic patterns and accidents. Presented in this paper is a logistics control model for managing a hauling fleet with interrelated processes at both ends and queue capacities. Discrete event simulation is used to model the complex interactions of production units and the randomness of the real world. Two alternative strategies for ready mix concrete delivery, with and without an off-site waiting queue, are studied to compare supply performance. Secondly, the paper discusses the effect of an agent-based GPS tracking system providing real-time travel data that lessens the uncertainty of trucking time. The results show that the combination of GPS information with off-site queuing reduces productivity loss and process wastes of concrete placement as well as the idleness of supply trucks when crew or pump experience an unexpected stoppage.