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      작업장 수와 택트시간의 변경을 고려한 시뮬레이션 기반의 스케줄러 개발을 위한 아키텍쳐

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      https://www.riss.kr/link?id=A100214189

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Many companies want to build a better production schedule for efficient production-inventory management and on time delivery. Thus, they have installed commercial Advanced Planning and Scheduling (APS) systems to ERP system for better production scheduling. However, it is very difficult to perfectly apply the APS to specialized manufacture environment, and it needs to be highly customized for using it. In addition, it is difficult to expect good performance in scheduling if scheduling operator does not understand the manufacture environment thoroughly. It is the major reason why they have continued building schedule manually. This paper introduces the development of scheduler based on simulation model considering flexible takt time and number of workstations to meet the due date in Make-to-Order system. Two types of products, the one is overhaul and the other is new product, are produced in the same shop.
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      Many companies want to build a better production schedule for efficient production-inventory management and on time delivery. Thus, they have installed commercial Advanced Planning and Scheduling (APS) systems to ERP system for better production sched...

      Many companies want to build a better production schedule for efficient production-inventory management and on time delivery. Thus, they have installed commercial Advanced Planning and Scheduling (APS) systems to ERP system for better production scheduling. However, it is very difficult to perfectly apply the APS to specialized manufacture environment, and it needs to be highly customized for using it. In addition, it is difficult to expect good performance in scheduling if scheduling operator does not understand the manufacture environment thoroughly. It is the major reason why they have continued building schedule manually. This paper introduces the development of scheduler based on simulation model considering flexible takt time and number of workstations to meet the due date in Make-to-Order system. Two types of products, the one is overhaul and the other is new product, are produced in the same shop.

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      목차 (Table of Contents)

      • 1. 서론
      • 2. 대상 시스템의 소개
      • 3. 스케줄러 개발
      • 5. 결론
      • 참고문헌
      • 1. 서론
      • 2. 대상 시스템의 소개
      • 3. 스케줄러 개발
      • 5. 결론
      • 참고문헌
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      참고문헌 (Reference)

      1 서정대, "전자제품 조립라인의 SMT 공정을 위한 현장 적응형 User Interactive Scheduler 개발" 한국SCM학회 7 (7): 35-48, 2007

      2 신경욱, "전면정비방식의 무기체계 정비공장에 대한 시뮬레이션 연구" 한국시뮬레이션학회 20 (20): 119-127, 2011

      3 송민기, "반도체 생산 성능 향상 및 다양한 이송패턴을 수행할 수 있는 범용 스케줄러 알고리즘에 관한 연구" 한국시뮬레이션학회 19 (19): 99-109, 2010

      4 Tocher, K. D., "The Art of Simulation" English Universities Press 1963

      5 Ying, C. C., "Specification of a job shop scheduling simulation model and some properties of its internal transition function" 31 (31): 201-204, 1996

      6 Kim, T.D., "Production systembased simulation for backward on-line job change scheduling" 40 : 12-27, 2014

      7 Park, J.K., "Performance Evaluation of Scheduling Rules Considering Order Change Using Simulation" 9 (9): 13-25, 2000

      8 Pritsker, A. A. B., "Multiproject Scheduling with Limited Resources: a Zero-One Programming Approach" 16 (16): 93-108, 1969

      9 Lin, J. T., "Lot release times and dispatching rule for a TFT-LCD cell process" 24 (24): 228-238, 2008

      10 Hastings, N.A.J., "Job Oriented Production Scheduling" 47 (47): 35-48, 1990

      1 서정대, "전자제품 조립라인의 SMT 공정을 위한 현장 적응형 User Interactive Scheduler 개발" 한국SCM학회 7 (7): 35-48, 2007

      2 신경욱, "전면정비방식의 무기체계 정비공장에 대한 시뮬레이션 연구" 한국시뮬레이션학회 20 (20): 119-127, 2011

      3 송민기, "반도체 생산 성능 향상 및 다양한 이송패턴을 수행할 수 있는 범용 스케줄러 알고리즘에 관한 연구" 한국시뮬레이션학회 19 (19): 99-109, 2010

      4 Tocher, K. D., "The Art of Simulation" English Universities Press 1963

      5 Ying, C. C., "Specification of a job shop scheduling simulation model and some properties of its internal transition function" 31 (31): 201-204, 1996

      6 Kim, T.D., "Production systembased simulation for backward on-line job change scheduling" 40 : 12-27, 2014

      7 Park, J.K., "Performance Evaluation of Scheduling Rules Considering Order Change Using Simulation" 9 (9): 13-25, 2000

      8 Pritsker, A. A. B., "Multiproject Scheduling with Limited Resources: a Zero-One Programming Approach" 16 (16): 93-108, 1969

      9 Lin, J. T., "Lot release times and dispatching rule for a TFT-LCD cell process" 24 (24): 228-238, 2008

      10 Hastings, N.A.J., "Job Oriented Production Scheduling" 47 (47): 35-48, 1990

      11 Jeong, C. S., "Integrating Flexible Process Plans with Scheduling in a Manufacturing Supply Chain" 1 (1): 59-67, 2001

      12 Sule, D.R., "Industrial Scheduling" PWS Publishing Company 1997

      13 Watson, E. F., "Generating Component Release Plans with Backward Simulation" 930-938, 1993

      14 Jain, S., "Experiences with Backward Simulation Based Approach for Lot Release Planning" 930-938, 1997

      15 Masahiro, A., "An optimization-oriented method for simulation-based job shop scheduling incorporating capacity adjustment function" 85 (85): 359-369, 2003

      16 Wu, N.Q., "A closed-form solution for schedulability and optimal scheduling of dual-arm cluster tools with wafer residency time constraint based on steady schedule analysis" 7 (7): 303-315, 2010

      17 Moon, D.H., "A Simulation Study for Dynamic Scheduling in a Hybrid Assembly /Job Shop Considering the JIT Context" 9 (9): 532-541, 1998

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2022 평가 재인증평가 신청대상 (재인증)
      2019-01-01 등재 등재학술지 유지 (계속평가) KCI등재
      2016-01-01 등재 등재학술지 유지 (계속평가) KCI등재
      2012-01-01 등재 등재 1차 FAIL (등재유지) KCI등재
      2009-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
      2008-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2007-01-01 등재 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2005-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.76 0.76 0.55
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.48 0.46 0.488 0
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