Taguchi method is one of the most popular approaches for design optimization such that performance characteristics become robust to uncontrollable noise variables. However, most previous Taguchi method applications have addressed a single-characteristic problem. Problems with multiple characteristics are more common in practice. The multi-criteria decision making(MCDM) problem is to select the optimal one among multiple alternatives by integrating a number of criteria that may conflict with each other. Representative MCDM methods include TOPSIS(Technique for Order of Preference by Similarity to Ideal Solution), GRA(Grey Relational Analysis), PCA(Principal Component Analysis), fuzzy logic system, and so on. Therefore, numerous approaches have been conducted to deal with the multi-characteristic design problem by combining original Taguchi method and MCDM methods. In the MCDM problem, multiple criteria generally have different measurement units, which means that there may be a large difference in the physical value of the criteria and ultimately makes it difficult to integrate the measurements for the criteria. Therefore, the normalization technique is usually utilized to convert different units of criteria into one identical unit. There are four normalization techniques commonly used in MCDM problems, including vector normalization, linear scale transformation( max-min, max, or sum). However, the normalization techniques have several shortcomings and do not adequately incorporate the practical matters. For example, if certain alternative has maximum value of data for certain criterion, this alternative is considered as the solution in original process. However, if the maximum value of data does not satisfy the required degree of fulfillment of designer or customer, the alternative may not be considered as the solution. To solve this problem, this paper employs the desirability function that has been proposed in our previous research. The desirability function uses upper limit and lower limit in normalization process. The threshold points for establishing upper or lower limits let us know what degree of fulfillment of designer or customer is. This paper proposes a new design optimization technique for multi-characteristic design problem by integrating the Taguchi method and our desirability functions. Finally, the proposed technique is able to obtain the optimal solution that is robust to multi-characteristic performances.

This research introduced a command-filtered backstepping control of mirror system to maintain laser communication between satellite and ground station. This requires a 2 degree of freedom gimbal mirror system using DC motors for target acquisition, pointing, and tracking (APT) system. This APT system is used for laser communication between satellite and ground stations. To track these desired angles, we have to control DC motors using introduced command-filtered backstepping controller (CFBSC) with disturbance. Command filtered backstepping controller has second order filter instead differentiation for simple and fast calculation. Introduced command-filtered backstepping control gives a smooth control signal for intermediate states. Simulation results verify that CFBSC outperforms SMC in terms of tracking error and disturbance rejection.

원전 구조물의 실시간 모니터링 기술이 요구되고 있지만, 현재 운영 중인 지진 감시계통으로는 동특성 추출 등 시스템 식별이 제한 된다. 전역적인 거동 데이터 및 동특성 추출을 위해서는 다수의 센서를 최적 배치하여야 한다. 최적 센서배치 연구는 많이 진행되어 왔 지만 주로 토목, 기계 구조물이 대상이었으며 원전 구조물 대상으로 수행된 연구는 없었다. 원전 구조물은 미미한 신호대잡음비에도 강건한 신호를 획득하여야 하며, 모드 기여도가 저차 모드에 집중되어 있어 모드별 잡음 영향을 고려해야 하는 등 구조물 특성을 고려 해야 한다. 이에 본 연구에서는 잡음에 대한 강건도와 모드별 영향을 평가할 수 있는 최적 센서배치 방법론을 제시하였다. 활용한 지표 로서 auto MAC(Modal Assurance Criterion), cross MAC, 노드별 모드형상 분포를 분석하였으며, 잡음에 대한 강건도 평가의 적합성을 수치해석으로 검증하였다.

This paper presents a numerically robust algorithm to construct a Voronoi diagram of circles in the plane. The circles are allowed to have intersections among them, but one circle cannot fully contain another circle. The Voronoi diagram is a tessellation of the plane into Voronoi regions of given circles. Each circle has its Voronoi region which is defined by a set of points in the plane closer to the circle than any other circles. The distance from a point p to a circle ci of center pi and radius ri is ||p-pi||-ri, which is the closest Euclidean distance from p to the circle boundary. The proposed algorithm first constructs the point Voronoi diagram of centers of given circles, then it enlarges each point to the circle and expands its Voronoi region accordingly. This region-expansion process is done by local modifications and after completing this process for the whole circles the desired circle Voronoi diagram can be obtained. The proposed algorithm is numerically robust and we provide with a few examples to show its robustness. The algorithm runs in O(n2) time in the worst case and O(n) time on average where n is the number of the circles. The experiment shows that the region-expansion algorithm is robust and runs fast with strong linear time behavior.

The most time consuming job in the sheet metal forming process is compensating for springback. Factors such as uneven material properties and process conditions generate noise, which in turn create springback. The springback is very sensitive to the process and noise conditions, and the main effects of the design variables cannot be obtained from mean analysis. Therefore, to achieve minimal springback, an effective design countermeasure must be put in place to reduce noise effects. In this study, two robust design methods to achieve minimal springback in U-channel forming, including compensation process, are proposed. The effectiveness of the proposed methods is shown with an example of the sidewall curl springback. The proposed methods consistently outperform our previous work, indicating that the complex method is more preferable to the mean analysis, if there is no evidence of additivity of effects.

The most time consuming operation during the tryout of new parts is the compensation of geometric deviations induced by springback. The variation of springback due to the noise factors such as material properties and forming conditions increase the difficulties of the compensation operation. If the forming process includes a drawing operation followed by a restriking operation, a robust design for springback compensation is needed for both operations. In this study, a new 2-stage procedure for robust springback compensation using Taguchi's orthogonal array experiments combined with the Pick-the-Winner rule and the design space reduction method is proposed. The effectiveness of the proposed method is shown with an example of the sidewall curl springback compensation in U-channel forming.

‘Beauty Sun’은 경남농업기술원 화훼연구소에서 2010년에 육성한 스프레이 국화 신품종으로 2006년도에 보라색 아네모네형의 스프레이 국화 ‘Ardilo’를 모본, 성장세가 좋은 복색 홑꽃형 스프레이 국화 ‘Two Tone’을 부본으로 교배하여 육성하였다. 2007년도에 실생을 양성한후 실생개체 중에서 개화가 균일하고 볼륨감이 우수한 개체를 선발하여 ‘AT07-202’로 계통명을 부여하였고, 2008년부터 2010년까지 3년간에 걸쳐 춘계 억제재배와 하계촉성재배를 포함하는 특성검정을 통해 최종적으로 ‘BeautySun’을 육성하였다. ‘Beauty Sun’의 자연개화기는 10월하순이며, 차광과 전조처리에 의한 일장조절에 의해 연중생산이 가능하다. 이 품종은 복색(PN78B/GW157C) 꽃잎을 가진 아네모네형으로 성장세가 강건하고 6월 상순인 고온기에 접어들어도 화색이 안정적이다. 추계재배에있어서 화경은 4.5cm, 본당 착화수가 14.6개이고, 설상화수는 21.4개이었다. 초장은 104.4cm이고 엽색은 진한녹색(G137A)이며, 절화수명은 24.3일이었다. 춘계 차광재배에서의 단일처리 후 개화소요일수가 46일이었다. 이 품종은 흰녹병에 중도저항성을 나타내고 있으며, 대조품종에 비해 기호도도 높았다. ‘Beauty Sun’은 2012년 국립종자원에 품종보호권등록(품종보호 제4171)되었다.

경기도농업기술원에서 2013년도에 개발한 ‘Orange Dream’품종은 적색 홑꽃형 산티니계 스프레이 국화 ‘Amelie Pink’품종을 모본(♀)으로 하고 생육이 우수한 연분홍색 홑꽃형 스프레이 국화 ‘Crangball’ 품종을 부본(♂)으로 2008년에 교배하여 육성되었다. 2009년에 실생을 양성한 후2010년부터 2013년까지 자연, 전조, 차광재배작형별 특성검정을 거치고 2013년 재배농가, 소비자, 육묘업체의 기호도 조사를 통해 개화특성과 기호도가 우수한 GCS08-29-17(Gyeongkyo B1-24) 계통을 최종 선발하여 ‘OrangeDream’로 명명하였다. 2013년 12월 27일에 국립종자원에 품종보호출원(출원 2013-577)하고 2015년 6월 9일에품종보호권이 등록되었다(등록번호 제 5588호). ‘OrangeDream’ 품종은 주황색 홑꽃형 스프레이 품종으로 단일처리 후 개화 소요일수가 자연개화작형과 봄작형 재배 시49일, 여름작형 재배 시 56일로 여름작형 재배 시 개화소요일수가 길어지는 경향이 있으나 연중재배가 가능하며, 특히 저온기에 재배 시 신장성과 화색발현이 우수한 품종이다. 자연재배 작형에서 절화장은 86.7cm로 대비품종 88.7cm보다 약간 작으나 억제재배 작형에서는93.8cm로 대비품종 89cm보다 길게 자라는 특징이 있다.착화수는 22.8개로 대비품종보다 10.4개 더 많고, 꽃의직경은 5.5cm로 대비품종과 같다. 꽃잎수는 24.9매, 줄기굵기는 5.9mm로 대비품종과 비슷하거나 같다. 흰녹병에강한 저항성이 있어 저온기 재배 시 유리하며 절화수명이 22일로 길어 꽃꽂이 및 꽃다발 제작 등에 적합하다.

Many retailer store managers are experiencing the situation where some customers balk at purchasing products if the stock is low. In this paper, we extend the single period newsvendor model in an environment of customer balking behavior occurring at double threshold inventory levels assuming the chance of sales during balking is a discrete function of inventory level. Our analysis is based on the assumption that only the mean and the variance of demand are known, without assuming any specific distributional form. We derive the explicit general expression of optimal order quantity with unknown distribution of demand with double threshold inventory levels of customer balking. Then, we illustrate the concepts developed here through simple numerical examples and conclude the future research topics under balking situation.

When it comes to designing a product or a process, the robust parameter design (RPD) methodology devised by Taguchi is recognized as a way to produce products or processes with less variability, while the specifications of products or processes are met, so that the ratio of nonconforming products can be as minimized as possible. Nevertheless, as a matter of fact, there have been many pros and cons concerning the RPD method, mainly because of the use of signal to noise ratio as the measure of quality characteristic. Meanwhile, the variability analysis method has been highly recommended as an alternative of the RPD in the literature. In this paper, it is demonstrated that RPD can also be implemented within the framework of the variability analysis, which is sounder in the statistical sense. In light of an example of RPD approach, the modeling and estimation procedure is discussed in some detail with a view to a comparison of the two methods.

The design method for cumulative sum (CUSUM) control charts, which can be robust to autoregressive moving average (ARMA) modeling errors, has not been frequently proposed so far. This is because the CUSUM statistic involves a maximum function, which is in

This essay talks about research of robust design for quality improvement of production procedure of Wet Etchant. It suggested the optimum design method in consideration of specific capability value that is the way to maximize the quality of product in the production system by using Daguchi parameter design method while finding factors affecting product quality with analysis of production system of product A from producer D. Also, it set long term of 6months as noise factor and let it to be the robust design that can find the optimum condition of control factor that is dull to the changes of each month, that is the change in noise factor. The control factor which affects the product quality is decided as combination method, temperature of raw material, combination time and as there are too many possibilities for combination methods, we performed 4 methods first based on previous research data then derived three ways with product that passed SPEC and set as the factor. As a result of application of optimum production procedure suggested in this essay to the actual production process with its standardization, there was a effect of drop of more than 10particles in comparison to the particle number of previous product and also it brought the effect that resulted the stable number of particle of under 30 that is what the client company suggested.

Monitoring autocorrelated processes is prevalent in recent manufacturing environments. As a proactive control for manufacturing processes is emphasized especially in the semiconductor industry, it is natural to monitor real-time status of equipment throug

Quality design methodologies have received constituent attention from a number of researchers and practitioners for more than twenty years. Specially, the quality design for drug products must be carefully considered because of the hazards involved in the