• Title/Summary/Keyword: Value engineering methodology

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A Methodology for Representation of Clinical Data in Oriental Medicine (한의학의 증상표현을 위한 방법론)

  • Park Kyung Mo;Park Jong Hyun
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.16 no.5
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    • pp.845-850
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    • 2002
  • This paper suggest a methodology for representation of findings which can be called as signs and symptoms. A finding consists of unit signs and unit symptoms, and moreover findings which appear in one individual patient have so many different relationship each other. So, it is nat appropriate to list all of possible findings as medical standard or to fill findings as independent things in paper for medical record. We try to distinguish finding item from finding list, and suggest the methodology by which we can make finding list from finding items. That is, we suggest finding item[Concept], value types, relationship, logical operator, and syntax as a component of representation. And by using urinary symptom, we make the example for representation methodology. Finally, we mention the background knowledge, brief research process of related area.

Automatic Mold Design Methodology to Optimize Warpage and Weld Line in Injection Molded Parts (사출 성형품의 휨과 웰드라인을 최적화하기 위한 자동 금형설계 방법)

  • ;Byung H. Kim
    • Transactions of Materials Processing
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    • v.9 no.5
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    • pp.512-525
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    • 2000
  • Designers are frequently faced with multiple quality issues in injection molded parts. These issues are usually In conflict with each other, and thus tradeoff needs to be made to reach a final compromised solutions. The objective of this study is to develop an automated injection molding design methodology, whereby part defects such as warpage and weld line are optimized. The features of the proposed methodology are as follows: first, Utility Function approach is applied to transform the original multiple objective problem into single objective problem. Second is an implementation of a direct search-based Injection molding optimization procedure with automated consideration of process variation. The Space Reduction Method based on Taguchi's DOE(Design Of Experiment) is used as a general optimization tool in this study. The computational experimental verification of the methodology was partially carried out for a can model of Cavallero Plastics Incorporation, U. S. A. Applied to production, this study will be of immense value to companies in reducing the product development time and enhancing the product quality.

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A Study on the Application of QFD Application Model for Target Performance and Cost Setting of The Weapon System (무기체계 목표성능과 목표비용 설정을 위한 품질기능전개(QFD) 응용모델 연구)

  • Lee, Tae Hwa;Hong, Sung Hoon;Kwon, Hyuck Moo;Lee, Min Koo
    • Journal of Korean Society for Quality Management
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    • v.46 no.4
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    • pp.821-842
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    • 2018
  • Purpose: To derive key requirements and key technologies for weapon system acquisition business by using Qualify Function Deployment (QFD), and to reduce business cost by setting the target performance and key expense of weapon system. Methods: We propose a QFD methodology that can induce rational decision-making by translating analyst's subjective opinions into quantitative values when analyzing requirements at the initial stage of weapon system development project. Based on QFD methodology, QFD application model combining house of quality, value engineering, and analogy cost estimating technique is presented. Results: It was possible to analyze the specific requirements necessary for the development of the weapon system, to solve the communication problem of the participants, to set clear development direction and target. Conclusion: By applying the QFD application model at the early stage of the weapon system acquisition project, it is possible to reduce the business cost by establishing clear development direction and goal through the procedural analysis process.

Aggregating Prediction Outputs of Multiple Classification Techniques Using Mixed Integer Programming (다수의 분류 기법의 예측 결과를 결합하기 위한 혼합 정수 계획법의 사용)

  • Jo, Hongkyu;Han, Ingoo
    • Journal of Intelligence and Information Systems
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    • v.9 no.1
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    • pp.71-89
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    • 2003
  • Although many studies demonstrate that one technique outperforms the others for a given data set, there is often no way to tell a priori which of these techniques will be most effective in the classification problems. Alternatively, it has been suggested that a better approach to classification problem might be to integrate several different forecasting techniques. This study proposes the linearly combining methodology of different classification techniques. The methodology is developed to find the optimal combining weight and compute the weighted-average of different techniques' outputs. The proposed methodology is represented as the form of mixed integer programming. The objective function of proposed combining methodology is to minimize total misclassification cost which is the weighted-sum of two types of misclassification. To simplify the problem solving process, cutoff value is fixed and threshold function is removed. The form of mixed integer programming is solved with the branch and bound methods. The result showed that proposed methodology classified more accurately than any of techniques individually did. It is confirmed that Proposed methodology Predicts significantly better than individual techniques and the other combining methods.

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Position Control of an AC Servo Motor Using Sliding Mode Controller with Disturbance Estimator

  • Jung-Woo;Seung-Bok;Hyun-Jeong;Joon-Ho
    • International Journal of Precision Engineering and Manufacturing
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    • v.5 no.4
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    • pp.14-20
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    • 2004
  • In this work, a new control methodology to achieve accurate position control of an AC servo motor subjected to external disturbance is proposed. Unlike conventional sliding mode controller which requires a prior knowledge of the upper bound of external disturbance, the proposed technique, called sliding mode controller with disturbance estimator (SMCDE), can offer robust control performances without a prior knowledge of the disturbance bound. The SMCDE is featured by an integrated average value of the imposed disturbance over a certain sampling period. By doing this, undesirable chattering phenomenon in the estimation process can be effectively alleviated. The benefits of the proposed control methodology are empirically demonstrated on AC servo motor and control responses are evaluated through a comparative work between the proposed and conventional control schemes.

The Develope Methodology for the Design Value Engineering Checklist by Categorizing the Drawing Information (도면정보의 범주화를 통한 설계VE 점검 체크리스트 개발 방법)

  • Song, Ji-Won;Ha, Young-Seo;Yu, Jung-Ho;Kim, Chang-Duk
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2008.11a
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    • pp.863-867
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    • 2008
  • Value Engineering is one of the most effective too13 to achieve the required cost and time reduction, quality and safety improvement. The role and importance of design value engineering is expected to be high, so the research is needed for its effective accomplishment. Therefore, in this research we have suggested the method of checklist development for the effective accomplishment of design value engineering work. Also, the way of development is that derives major elements from drawing information category and from the base of the derived elements, the research lists up the checklist items. At last, it developed design value engineering checklist based the item that listed up throughout the experts.

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A MODEL OF RETIREMENT AND CONSUMPTION-PORTFOLIO CHOICE

  • Junkee Jeon;Hyeng Keun Koo
    • Bulletin of the Korean Mathematical Society
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    • v.60 no.4
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    • pp.1101-1129
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    • 2023
  • In this study we propose a model of optimal retirement, consumption and portfolio choice of an individual agent, which encompasses a large class of the models in the literature, and provide a methodology to solve the model. Different from the traditional approach, we consider the problems before and after retirement simultaneously and identify the difference in the dual value functions as the utility value of lifetime labor. The utility value has an option nature, namely, it is the maximized value of choosing the retirement time optimally and we discover it by solving a variational inequality. Then, we discover the dual value functions by using the utility value. We discover the value function and optimal policies by establishing a duality between the value function and the dual value function. The model and approach offer a significant advantage for computation of optimal policies for a large class of problems.

Characterization of Mixed Apple and Carrot Retentates Using Response Surface Methodology

  • Lee, Jun-Ho
    • Preventive Nutrition and Food Science
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    • v.11 no.2
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    • pp.155-159
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    • 2006
  • Models capable of predicting the product quality of mixed apple and carrot retentates (MACR) have been developed using response surface methodology and used to characterize the effects of processing conditions including average transmembrane pressure (ATP), temperature, and blend ratio. Color, soluble solids, total sugar, vitamin C, acidity, turbidity, and viscosity were used to assess the product quality following the ultrafiltration (UF) process. $L^*-value$ decreased with increased ATP, but the value was not affected by changes in temperature. Blend ratio also greatly influenced the $L^*-value$. Redness ($a^*-value$), on the other hand, was less affected by temperature and ATP. As the ATP and temperature increased, yellowness increased gradually. Soluble solids contents appeared to decrease gradually as the ATP increased for all blend samples, but the effect of temperature seemed to be less. Total sugar content was more affected by temperature than ATP. In general, samples containing 75% carrot had higher amounts of vitamin C regardless of processing conditions. Changes in acidity were also complex and appeared to respond to interactions among ATP, temperature, and blend ratio. Turbidity increased for all samples as both ATP and temperature increased. The higher the amount of carrot in the blend samples, the higher values for turbidity. Although the changes were small, viscosity appeared to increase as the ATP and temperature increased during UF.

Design and Application of a New Sliding Mode Controller with Disturbance Estimator

  • Park, Seung-Bok;Ham, Joon-Ho;Park, Jong-Sung
    • International Journal of Precision Engineering and Manufacturing
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    • v.3 no.4
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    • pp.94-100
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    • 2002
  • The conventional sliding mode control (SMC) technique requires a priori knowledge of the upperbounds of disturbances and/or modeling uncertainties to assure robustness. This, however, may not be easy to obtain in practical situation. This paper presents a new methodology, a sliding mode control with disturbance estimator (SMCDE), which offers a robust control performance without a priori knowledge about the disturbance. The proposed technique is featured by an average value of the imposed disturbance over a certain period. A nonlinear spring-mass-damper system and a two-link robot system are adopted as illustrative application examples. Control performances such as estimation error and tracking error are compared between the proposed methodology and conventional scheme.

Transmission Pricing in consideration of Demand Function (수요함수를 고려한 송전비용 산정방안에 관한 연구)

  • Yoo, Chong-Il;Jung, G.H.;Shin, Y.G.;Han, S.M.;Kim, Bal-Ho H.
    • Proceedings of the KIEE Conference
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    • 2002.11b
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    • pp.378-380
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    • 2002
  • It is required to develop a rational transmission pricing methodology to ensure the fair participation of the player in the market. Because of economic efficiency, marginal pricing method has been studied to be applied to transmission pricing methodology. In application of marginal pricing method to transmission pricing, revenue reconciliation must be needed to recover Transco's revenue requirements. This paper presents a reconciliation method based on line's value to transmission service user.

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