• 제목/요약/키워드: Theory of Constraint

검색결과 259건 처리시간 0.031초

Job Shop System Analysis through DBR Simulation (DBR 시뮬레이션을 통한 Job Shop 시스템 분석)

  • Shim, Yun-Seop;Byeon, Ji-Hwan;Hwang, Soon-Hyun;Jeon, Tae-Bo
    • Journal of Industrial Technology
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    • 제31권B호
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    • pp.51-58
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    • 2011
  • Simulation plays a pivotal role in the analysis of complex systems. In this study, a job shop manufacturing system has been analyzed through DBR (Drum-buffer-rope) simulation. Specific attention has been put to examine the rate of due-date achievement. We first derived key factors affecting the system performance. We then developed ARENA simulation program based on DBR of TOC (Theory of Constraints) concepts. Based on the performance measure, factors, and experimental design, we obtained the results. We have drawn meaningful results through examination of the results. The results obtained from this study may provide a good base for practical applications.

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Size and Shape Discrete Optimum Design of Planar and Spacial Steel Structures Using Fuzzy-Genetic Algorithms (퍼지-유전자알고리즘에 의한 평면 및 입체 강구조물의 단면/형상 이산화 최적설계)

  • Park, Choon-Wook;Yuh, Baeg-Youh;Kim, Su-Won
    • Proceeding of KASS Symposium
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    • 한국공간구조학회 2005년도 춘계학술발표회 및 정기총회 2권1호(통권2호)
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    • pp.236-245
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    • 2005
  • This paper was developed the discrete optimum design program by the refined fuzzy-genetic algorithms based on the genetic algorithms and fuzzy theory. The optimum design of this paper can perform both size and shape optimum design for planar and spacial steel structures. In this paper, the objective function is the weight of steel structures and the constraints are the design limits defined by design and buckling strengths, displacements and thicknesses. The design variables are dimensions and coordinates of steel sections. Design examples are given to show the applicability of the discrete optimum design program of this paper.

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On Optimal Conditions in Setting Up Tasks for the Elementary Classroom: A Case Study of Two Classes

  • Kim, Jin-Seok
    • English Language & Literature Teaching
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    • 제18권3호
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    • pp.121-134
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    • 2012
  • The purpose of this study is to investigate the optimal conditions for designing tasks appropriate to the elementary classroom based on the correspondence with the national curriculum, integration among four skills (listening, speaking, reading, and writing), authenticity, and interactivity. For this study, two primary English teachers volunteered to participate in the case study conducted in the spring semester of the 2012 school year. Each class observed was composed of 29 and 30 sixth graders (12-year-old learners). Data were collected through classroom observation and lesson plans. Optimality theory was used to analyze data from the lessons. From the findings, the overall ranking of constraints is Curriculum ${\gg}$ Integration ${\gg}$ Authenticity ${\gg}$ Interactivity. It is also shown that for teacher 'L', the tasks such as 'guessing game', 'photo of me', and 'role play' were appropriate to help students ask questions and give reasons for their choices. As for teacher 'C', the tasks such as 'hand spans', 'transport survey', and 'picture telling' needed to be considered in order to help students understand and write comparative sentences.

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A numerical analysis and experimental study on the prediction of spray characteristics (분무특성 예측을 위한 이론적 접근과 실험적 연구)

  • Yoon, S.J.;Cho, D.J.
    • Journal of ILASS-Korea
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    • 제3권2호
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    • pp.1-13
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    • 1998
  • A theoretical and experimental study was carried out to predict the drop size distribution of the pressure swirl atomizer. Various analytical methods using the Kelvin-Helmholtz instability theory were tried to examine the wave growth on cylindrical liquid sheets. Cylinderical liquid sheets were extended to the case with the conical sheets. Perturbations due to tangential motion as well as longitudinal one were taken into account. And it was assumed that the breakup occurs when amplitude ratio exceeds exp(12), drop sizes were predicted only by theoretical approach. Drop size distribution was obtained by using maximum entropy formalism. Seven constraints in the form of the definition of mean diameter were used in this formulation in order to avoid the difficulties of estimating source terms. In this study $D_{10}$ only was introduced into the formulation as a constraint. The predicted drop size and drop size distribution agreed well with the measured data.

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Real-time Delivery Estimation in Build-to-order Manufacturing (주문형 생산에서의 실시간 납기 산정)

  • 홍태영;강무진;박세형;이상봉
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 한국정밀공학회 2002년도 추계학술대회 논문집
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    • pp.101-104
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    • 2002
  • Leading companies have embraced the new economy with new and innovative BTO models. Instead of conventional company-oriented manufacturing scheduling, customer-oriented scheduling method attracts more and more attention. To evaluate the delivery of customer order in advance, the real production capacity as well as procurement lead time should be taken into account. This paper describes a quasi-real-time order delivery estimation system using TOC(Theory of Constraints) based scheduling method.

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Robust inference with order constraint in microarray study

  • Kang, Joonsung
    • Communications for Statistical Applications and Methods
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    • 제25권5호
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    • pp.559-568
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    • 2018
  • Gene classification can involve complex order-restricted inference. Examining gene expression pattern across groups with order-restriction makes standard statistical inference ineffective and thus, requires different methods. For this problem, Roy's union-intersection principle has some merit. The M-estimator adjusting for outlier arrays in a microarray study produces a robust test statistic with distribution-insensitive clustering of genes. The M-estimator in conjunction with a union-intersection principle provides a nonstandard robust procedure. By exact permutation distribution theory, a conditionally distribution-free test based on the proposed test statistic generates corresponding p-values in a small sample size setup. We apply a false discovery rate (FDR) as a multiple testing procedure to p-values in simulated data and real microarray data. FDR procedure for proposed test statistics controls the FDR at all levels of ${\alpha}$ and ${\pi}_0$ (the proportion of true null); however, the FDR procedure for test statistics based upon normal theory (ANOVA) fails to control FDR.

Recent Research Trend in Functional Glasses Through Computational and Theoretical Modeling (전산모델링 기반 기능성 유리 소재 연구동향)

  • Ahn, Yong Nam
    • Prospectives of Industrial Chemistry
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    • 제24권3호
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    • pp.1-13
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    • 2021
  • 유리 소재는 뛰어난 기계적, 화학적, 광학 특성으로 인해 다양한 영역에서 광범위하게 활용되어 왔으며, 최근에는 특정 물성이 강화된 기능성 유리 수요가 다양한 산업 영역에서 급속히 증가하고 있다. 유리 소재 분야에서의 연구 개발은 유리 특유의 비정질 구조 및 다원소 조성 특성에 의한 복합성 때문에 전통적으로 경험에 기반한 실험 기법에 의존하여 왔다. 그러나 적용 분야에 따른 맞춤형 물성 강화에 대한 필요성이 증대됨에 따라, 핵심 물성 발현 원리 등을 원자 단위에서 이해하고 이를 바탕으로 기능성 유리 소재를 설계하는 접근법이 주목받고 있다. 원자단위 시뮬레이션 및 이론 기반 모델링은 유리 소재의 다양한 물성과 조성 변화에 따른 원자 구조의 상관관계를 매우 효율적으로 분석할 수 있는 기법이다. 본 기고문 에서는 밀도범함수이론, 분자동역학 및 위상속박이론을 활용한 기능성 유리 소재 개발 및 연구 동향에 대해서 소개하고자 한다.

A Methodology of Optimal Technology Combination Selection for Developing a Specific Ubiquitous Smart Space (특정 유비쿼터스 지능공간 구축을 위한 기술조합에 대한 최적 선정 방법론)

  • Lee, Yon-Nim;Kwon, Oh-Byung
    • Journal of Intelligence and Information Systems
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    • 제14권3호
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    • pp.109-131
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    • 2008
  • Ubiquitous Smart Space(USS) like u-City has been expected to create a high added value. However, developing USS has a high risk because it should use future technologies and development methodologies that have been never tried in the past. Hence, it has to be considered thoroughly in the very first stage of development. Moreover, USS usually uses several ubiquitous computing technologies combinationally because of the nature of USS. Despite of this, existing technology selection methodologies or technology evaluation methodologies only focus on a single technology. This leads us to develop a methodology of optimal technology combination for developing a specific USS. The purpose of this paper is to propose the methodology and to apply it to develop a real USS. We use portfolio theory and constraint satisfaction problem to determine an optimal technology combination. We also apply our methodology to the national ubiquitous computing project which carries out at present to validate it.

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Decision Supporting Methodology and System Based on Theory of Constraints for Optimal Product Portfolio Strategy in Shipbuilding Industry (제약이론을 기반으로 한 최적제품조합 의사결정 지원 방법론 및 시스템)

  • Kim, In-Il;Han, Seong-Hwan;Kwon, Min-Chull
    • Journal of the Society of Naval Architects of Korea
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    • 제46권3호
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    • pp.362-371
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    • 2009
  • Shipbuilding is a typical 'build to order' industry. It has a business model that generates revenues from building various ships and offshore products in accordance with owner's requirements at each production stage. Under uncertainty in shipping market, it is very essential for the shipbuilder to prepare the fast and competitive decision for product portfolio strategy in order to maximize contribution margin by exploiting production facilities and constraints. In this study, we introduce the unique decision supporting methodology for the optimal product portfolio sets based on Theory of Constraints(TOC). This methodology is established by adopting the concept of Drum Buffer Rope(DBR) in constraints planning and Throughput Accounting (TA) in management accounting of TOC. In addition, Decision Supporting System(DSS) is implemented. This DSS system provides a throughput estimator with reflecting the cost structure of shipbuilding industry and a resource simulator built on heuristic algorithms to operate major constraint-resources in shipyard such as dock, quay and pre-erection area etc. Several examples are presented to show that the proposed methodology and system can effectively support the strategic decision-making process of a global shipbuilding company.