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    태양광 발전 소재 생산계획을 위한 선형계획 모형

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    https://www.riss.kr/link?id=A101728084

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This study presents a mathematical programming model to develop production planning in the manufacturing processes for photovoltaic silicon ingots and wafers. The model is formulated as a linear programming model that maximizes total growth margin, which is composed of production cost, inventory cost, shortage cost, and sales profit while considering the constraints associated with the production environments of photovoltaic materials. In order to demonstrate the utility of the model for production planning, we run operations for a planning horizon of a year for a case study. When the primary results of this mathematical programming are compared with the historical records, the model could have resulted in the considerable increase of the total growth margin by effectively reducing inventory cost if a decision maker had employed the model as a decision support system with perfect information for sales demand.
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    This study presents a mathematical programming model to develop production planning in the manufacturing processes for photovoltaic silicon ingots and wafers. The model is formulated as a linear programming model that maximizes total growth margin, wh...

    This study presents a mathematical programming model to develop production planning in the manufacturing processes for photovoltaic silicon ingots and wafers. The model is formulated as a linear programming model that maximizes total growth margin, which is composed of production cost, inventory cost, shortage cost, and sales profit while considering the constraints associated with the production environments of photovoltaic materials. In order to demonstrate the utility of the model for production planning, we run operations for a planning horizon of a year for a case study. When the primary results of this mathematical programming are compared with the historical records, the model could have resulted in the considerable increase of the total growth margin by effectively reducing inventory cost if a decision maker had employed the model as a decision support system with perfect information for sales demand.

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    목차 (Table of Contents)

    • Abstract
    • 1. 서론
    • 2. 잉곳 및 웨이퍼 생산 공정의 개요
    • 3. 태양광 잉곳 및 웨이퍼 생산 계획을 위한 선형계획 모형
    • 4. 모형 적용 및 결과 분석
    • Abstract
    • 1. 서론
    • 2. 잉곳 및 웨이퍼 생산 공정의 개요
    • 3. 태양광 잉곳 및 웨이퍼 생산 계획을 위한 선형계획 모형
    • 4. 모형 적용 및 결과 분석
    • 5. 결론
    • 참고문헌
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    참고문헌 (Reference)

    1 윤천석, "신재생에너지" Infinitybooks 95-98, 2009

    2 이영훈, "반도체 생산관리 연구의 동향" 11 (11): 85-110, 2001

    3 이군희, "반도체 Wafer Fabrication 공정에서의 생산일정계획" 21 (21): 357-369, 1995

    4 Asmundsson, R, "Tractable nonlinear production planning models for semiconductor wafer fabrication facilities" 19 (19): 95-111, 2006

    5 Wu, J.Z, "Modeling strategic semiconductor assembly outsourcing decisions based on empirical settings" 30 (30): 401-430, 2008

    6 Kim, S, "Integrated Planning of Production and Engineering Process Improvement" 21 (21): 390-398, 2008

    7 Denton, B. T, "IBM solves a mixed-integer program to optimize its semiconductor supply chain" 36 (36): 386-399, 2006

    8 Ponsignon, T, "Heuristic approaches for master planning in semiconductor manufacturing" 39 : 479-491, 2012

    9 SolarPower Europe, "Global Market Outlook for Solar Power/2015~2019"

    10 Bermon, S, "Capacity optimization planning system(CAPS)" 29 (29): 31-50, 1999

    1 윤천석, "신재생에너지" Infinitybooks 95-98, 2009

    2 이영훈, "반도체 생산관리 연구의 동향" 11 (11): 85-110, 2001

    3 이군희, "반도체 Wafer Fabrication 공정에서의 생산일정계획" 21 (21): 357-369, 1995

    4 Asmundsson, R, "Tractable nonlinear production planning models for semiconductor wafer fabrication facilities" 19 (19): 95-111, 2006

    5 Wu, J.Z, "Modeling strategic semiconductor assembly outsourcing decisions based on empirical settings" 30 (30): 401-430, 2008

    6 Kim, S, "Integrated Planning of Production and Engineering Process Improvement" 21 (21): 390-398, 2008

    7 Denton, B. T, "IBM solves a mixed-integer program to optimize its semiconductor supply chain" 36 (36): 386-399, 2006

    8 Ponsignon, T, "Heuristic approaches for master planning in semiconductor manufacturing" 39 : 479-491, 2012

    9 SolarPower Europe, "Global Market Outlook for Solar Power/2015~2019"

    10 Bermon, S, "Capacity optimization planning system(CAPS)" 29 (29): 31-50, 1999

    11 Kacar, N. B, "An Experimental Comparison of Production Planning Using Clearing Functions and Iterative Linear Programming-Simulation Algorithms" 25 (25): 104-117, 2012

    12 Hung, Y, "A production planning methodology for semiconductor manufacturing based on iterative simulation and linear programming calculation" 9 (9): 257-269, 1996

    13 Chou, Y, "A methodology for product mix planning in semiconductor foundry manufacturing" 13 (13): 278-285, 2000

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2027 평가 재인증평가 신청대상 (재인증)
    2021-01-01 등재 등재학술지 유지 (재인증) KCI등재
    2018-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2015-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2011-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2009-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2007-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2005-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2002-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    1999-07-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.59 0.59 0.62
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.63 0.63 0.998 0.07
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