• 제목/요약/키워드: Simulation based manufacturing

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ISP(정보 전략 계획) 개념을 이용한 디지털 생산 적용 프레임워크 연구 (Research on the Framework for the Adoption of Digital Manufacturing Methodology with Information Strategy Planning Concept)

  • 우종훈;송영주;이태경;신종계
    • 한국CDE학회논문집
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    • 제15권2호
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    • pp.94-105
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    • 2010
  • Todays, there is fast transition about the new manufacturing IT methodologies from the conceptual phase into the practical application phase for the strengthening of enterprise competitiveness in manufacturing industry. One of those new methodologies is PLM (Product Life-cycle Management). PLM methodology consists of 3D CAD for the product design, PDM (Product Data Management) for the data management based on the collaboration platform and lastly DM (Digital Manufacturing). DM has evoluted from the stand-alone computer simulation of early 1980s, and now it covers the overall production development and production. Unfortunately, there exist serious critical problems about the actual application of DM for the real work. This is owing to the transition of the point of view from stand-alone type application (such as flow simulation or robot simulation) to that of business process about product development and production management. In this paper, we propose an application framework for the successful project with the digital manufacturing methodology with the concept of Information Strategy Planning, which enables the systematic diagnosis and the quantitative evaluation. Also, we introduce the actual practice of the proposing framework with the ISP project for 'Analysis & Simulation Technique of manufacturing process project' that is being conducted by Chungnam Techno Park.

조립 작업에서의 생산계획 수립을 위한 지식베이스형 제어기의 설계 (Design of a knowledge-based controller for job scheduling in assembly)

  • 김성수;서기성;우광방
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1990년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 26-27 Oct. 1990
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    • pp.514-518
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    • 1990
  • This paper describes an experimental Knowledge-Based Control System, named KBCS, for manufacturing and assembly. The KBCS of five parts and function : data-base, knowledge acquisition, optimization, and graphic monitoring. The KBCS is utilized for a FMS which is of five machine centers and automatic assembly lines. Each machine can perform almost all manufacturing functions which some difference in efficiency. Buffers store temporarily the incoming components and the outing components. Parts arrive at assembly lines after many steps of manufacturing, and the transfer path and time are determined by procedural knowledge of control systems. Nine different incoming components are set up. The total control system is expected to perform four algorithms, timing algorithm ,sequencing algorithm, penalty algorithm, and cart algorithm. The construction of controller require basic components of manufacturing systems in which knowledges are formulated on the base of the results and the repeated simulation of KBCS with graphic monitoring system. Simulation results by KBCS are compared with those by the other rules of manufacturing.

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

  • 조규갑;오수철;이문옥
    • 한국정밀공학회지
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    • 제3권2호
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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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전력용 변전시스템 제조공정 시뮬레이터 개발 (Developing a Simulator on the Manufacturing Process of Electrical Substation System)

  • 김혁;이광수;조규성
    • 한국멀티미디어학회논문지
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    • 제18권1호
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    • pp.81-87
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    • 2015
  • This research suggests a simulator regarding the Manufacturing Process of Electrical Substation System using a simulation method. This study is to propose and apply a new concept of simulation modeling, referred to as integrated Aspect-Oriented Modeling Approach (i-AOMA), in order to efficiently support the design and analysis of a Manufacturing Process of Electrical Substation System. The modeling based on i-AOMA can support easy generation of lots of alternative processes to meet simulation requirements of Manufacturing Process of Electrical Substation System in real case studies.

Digital Twin 개념을 적용한 제조환경 시뮬레이션 모형 설계 (The Design of Manufacturing Simulation Modeling Based on Digital Twin Concept)

  • 황성범;정석재;윤성욱
    • 한국시뮬레이션학회논문지
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    • 제29권2호
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    • pp.11-20
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    • 2020
  • 제조환경이 더욱 복잡해짐에 따라 전통적인 시뮬레이션만으로는 실시간 현장 결과를 평가하는 데 많은 어려움을 겪고 있다. 이를 극복하기 위한 대안으로 Digital Twin개념이 활발히 논의되고 있지만, 제품설계 단계에 국한되어 연구가 진행되고 있는 실정이다. 본 연구는 Digital Twin개념이 생산 공정 프로세스에 적용되기 위한 Digital Twin 기반 제조환경 프레임워크를 제시하였다. 구성요소는 실제 생산환경인 물리적 시스템과 데이터베이스, 그리고 가상 시스템인 트윈 모델을 제안하였다. 본 연구에서는 Arena 소프트웨어와 엑셀 VBA를 활용하여 컨베이어 시스템을 대상으로 간단한 Digital Twin 기반 제조시스템을 모의실험하였다. 실험결과 트윈 모델이 실제 물리적 시스템의 실시간 데이터를 전송받아 동일한 시간단위로 작동됨을 확인하였고, 엑셀 VBA에서 축적된 실시간 데이터와 학습 데이터를 기반으로 조정된 파라미터를 생성하고 있음을 확인하였다. 또한, 간단한 모의실험을 통해 Digital Twin 모델 구동 방법을 제안하였으며, Digital Twin 모델의 구현 가능성을 보여주었다.

주문생산 방식의 생산계획 수립을 위한 시뮬레이션 모델 설계 : 판유리 제조 공정을 중심으로 (Simulation Modeling for Production Scheduling under Make-To-Order Production Environment : Focusing on the Flat Glass Production Environment)

  • 최용희;황승준
    • 산업경영시스템학회지
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    • 제42권1호
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    • pp.64-73
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    • 2019
  • The manufacturing companies under Make-To-Order (MTO) production environment face highly variable requirements of the customers. It makes them difficult to establish preemptive production strategy through inventory management and demand forecasting. Therefore, the ability to establish an optimal production schedule that incorporates the various requirements of the customers is emphasized as the key success factor. In this study, we suggest a process of designing the simulation model for establishing production schedule and apply this model to the case of a flat glass processing company. The flat glass manufacturing industry is under MTO production environment. Academic research of flat glass industry is focused on minimizing the waste in the cutting process. In addition, in the practical view, the flat glass manufacturing companies tend to establish the production schedule based on the intuition of production manager and it results in failure of meeting the due date. Based on these findings, the case study aims to present the process of drawing up a production schedule through simulation modeling. The actual data of Korean flat glass processing company were used to make a monthly production schedule. To do this, five scenarios based on dispatching rules are considered and each scenario is evaluated by three key performance indicators for delivery compliance. We used B2MML (Business To Manufacturing Markup Language) schema for integrating manufacturing systems and simulations are carried out by using SIMIO simulation software. The results provide the basis for determining a suitable production schedule from the production manager's perspective.

시뮬레이션을 이용한 PCB 제조시스템의 수행능력 분석 (Analysis of PCB Manufacturing System Using Computer Simulation)

  • 전태보;김영휘;마상혁
    • 산업공학
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    • 제6권2호
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    • pp.133-150
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    • 1993
  • Recent industrial efforts are directed toward the development of CIM(Computer integrated Manufacturing) system. It is often the case that the analysis of the system dynamic behaviour is overlooked, even if it is important for both the economic justification and system performance evaluation. The main purpose of this study is to present a n approach of system performance evaluation for PCB(Printed Circuit Board) manufacturing, especially the inner layer manufacturing processes, using simulation. The general overview of the PCB manufacturing environment has first been discussed. Then a computer simulation program which can consider the diverse dynamic environmental changes has been developed. Extensive system analyses have been performed based on the program developed and the three measures proposed. The results obtained in this study provide valuable guidelines for practical concerns and some recommendations for future extensions.

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Deadlock과 Workload에 따른 FMS의 버퍼 Capacity 결정에 관한 연구 (A Study of Buffer Allocation in FMS based on Deadlock and Workload)

  • 김경섭;이정표
    • 한국시뮬레이션학회논문지
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    • 제9권2호
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    • pp.63-73
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    • 2000
  • Due to the complexity of part flow and limited resources, FMS(Flexible Manufacturing System) develops blocking, starvation and deadlock problems, which reduce its performance. In order to minimize such problems buffers are imposed between workstations of the manufacturing lines. In this paper, we are concerned with finding the optimal buffer allocation with regard to maximizing system throughput in limited total buffer capacity situation of FMS. A dynamic programming algorithm to solve the buffer allocation problem is proposed. Computer simulation using Arena is experimented to show the validation of the proposed algorithm.

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통합자동생산시스템에서 최적운영방안 결정을 위한 유전자 알고리즘의 개발 (A genetic algorithm for determining the optimal operating policies in an integrated-automated manufacturing system)

  • 임준묵
    • 한국산업정보학회:학술대회논문집
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    • 한국산업정보학회 1999년도 춘계학술대회 발표논문집
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    • pp.145-153
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    • 1999
  • We consider a Direct Input Output Manufacturing System(DIOMS) which has a munber of machine centers placed along a built-in Automated Storage/Retrieval System(AS/RS). The Storage/Retrieval (S/R) machine handles parts placed on pallets for the machine centers located at either one or both sides of the As/Rs. This report studies the operational aspect of DIOMS and determines the optimal operating policy by combining computer simulation and genetic algorithm. The operational problem includes: input sequencing control, dispatching rule of the S/R machine, machine center-based part type selection rule, and storage assignment policy. For each operating policy, several different policies are considered based on the known research results. In this report, using the computer simulation and genetic algorithm we suggest a method which gives the optimal configuration of operating policies within reasonable computation time.

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A Model for Material Handling is an Elevator System

  • Kim, Seung-Nam
    • 한국경영과학회지
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    • 제18권2호
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    • pp.105-130
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    • 1993
  • This study deals with finding a schedule for the movement of a material handling device (elevator) in a manufacturing plant. Two different algorithm (Traveling Salesman Technique and Greedy Algorithm) are used in the scheduling of the elevators using a simulation technique to determine the proper method of scheduling the elevator movement. Based on the simulation analysis, we have found that the Greedy algorithm serves better than the algorithm based on Traveling Salesman technique for scheduling the movement of a material handling device in the manufacturing plant.

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