• 제목/요약/키워드: product desirability

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Robust Design Using Desirability Function in Product-Array

  • Kwon, Yong-Man
    • 통합자연과학논문집
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    • 제11권2호
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    • pp.76-81
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    • 2018
  • Robust design is an approach to reducing performance variation of quality characteristic values in quality engineering. Product array approach which is used in the Taguchi parameter design has a number of advantages by considering the noise factor. Taguchi has an idea that mean and variation are handled simultaneously to reduce the expected loss in products and processes. Taguchi has used the signal-to-noise ratio (SN) to achieve the appropriate set of operating conditions where variability around target is low in the Taguchi parameter design. Many Statisticians criticize the Taguchi techniques of analysis, particularly those based on the SN. In this paper we propose a substantially simpler optimization procedure for robust design using desirability function without resorting to SN.

Consumer Response to Seller-Induced Perishability: Perceived Desirability of Products, Urge to Buy, and Purchase Acceleration

  • Byun, Sang-Eun
    • International Journal of Costume and Fashion
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    • 제11권2호
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    • pp.53-64
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    • 2011
  • The implementation of a short renewal cycle has become one of the competitive alternatives for apparel retailers to respond quickly to fast-changing consumer tastes. This strategic orientation affects consumer decision-making by inducing perishability of the store offerings. The purpose of this study was to examine the impact of perceived seller-induced perishability (as a result of a short renewal cycle) on perceived desirability of products urge to buy and purchase acceleration. The proposed model was tested in a field setting with female shoppers from two leading fast fashion retailers in the United States. This study found that perceived seller-induced perishability significantly enhances the perceived desirability of products and intensify the urge to buy while shopping which in turn accelerates purchases. In addition to perceived seller-induced perishability perceived desirability of products also contributed to intensifying the urge to buy. A number of theoretical and managerial implications were discussed and major areas of future research were suggested.

사출성형 해석과 선호함수법에 기초한 자동차 TCU 커넥터 커버의 금형 레이아웃 및 보압의 최적 설계 (Optimal Design of Mold Layout and Packing Pressure for Automobile TCU Connector Cover Based on Injection Molding Analysis and Desirability Function Method)

  • 박종천;유만준
    • 한국기계가공학회지
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    • 제19권9호
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    • pp.1-8
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    • 2020
  • In this study, the optimal design of the multi-cavity mold layout and packing pressure for the automobile TCU connector cover is determined based on the injection molding analysis and the desirability function method for multi-characteristic optimization. The design characteristics to be optimized are the warpage and sink marks of the product, the scrap of the feed system, and the clamping force. The optimal design is determined by performing injection molding analysis and desirability analysis for design alternatives defined by a complete combination of five mold layouts and six-level packing pressure. The optimal design shows that the desirability values for individual characteristics are quite high and balanced, and the resulting values of individual characteristics are satisfactorily low.

Simultaneous Optimization of Multiple Responses Using Weighted Desirability Function

  • Park, Sung-Hyun;Park, Jun-Oh
    • 품질경영학회지
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    • 제25권1호
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    • pp.56-68
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    • 1997
  • The object of multiresponse optimization is to determine conditions on hte independent variables that lead to optimal or nearly optimal values of the response variables. Derringer and Suich (1980) extended Harrington's (1965) procedure by introducing more general transformations of the response into desirability functions. The core of the desirability a, pp.oach condenses a multivariate optimization into a univariate one. But because of the subjective nature of this a, pp.oach, inexperience on the part of the user in assessing a product's desirability value may lead to inaccurate results. To compensate for this defect, a weighted desirability function is introduced which takes into consideration the vriances of the responses.

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호감도 함수와 다구찌 법을 이용한 고객지향설계에 관한 연구 (A Study on the Customer-Oriented Design Using Desirability Function and Taguchi Method)

  • 조재훈;이지호;박종필;남윤의
    • 산업경영시스템학회지
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    • 제45권4호
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    • pp.99-108
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    • 2022
  • Today, as technology advances and market competition for products intensifies, the product design to improve customer satisfaction by accurately identifying customer needs is emerging as a very important issue for company. Accordingly, the customer-oriented or customer-centered design that maximizes customer satisfaction by grasping and analyzing customer requirements is in the spotlight as an important design theory. In this study, the customer-oriented design is defined as finding the optimal value of design variable with the maximum overall customer satisfaction while minimizing the difference in individual customer satisfaction responded to various customers from multiple product quality characteristics from the perspective of robust design. Therefore, this study presents a new method for modeling the customer preference structure as the different sets of desirability functions for multiple quality characteristics and proposes a new customer-oriented design approach by applying the desirability functions to Taguchi's robust design process to deal with multi-characteristic design problem. Finally, the proposed method is illustrated with the Kansei engineering design problem of wine glass.

공정변수의 변동을 고려한 호감도 함수를 통한 다중반응표면 최적화 (Multiresponse Optimization Through A New Desirability Function Considering Process Parameter Fluctuation)

  • 권준범;이종석;이상호;전치혁;김광재
    • 한국경영과학회지
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    • 제30권1호
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    • pp.95-104
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    • 2005
  • A desirability function approach to a multiresponse problem is proposed considering process parameter fluctuation which may amplify the variance of response. It is called POE (propagation of error), which is defined as the standard deviation of the transmitted variability in the response as a function of process parameters. In order to obtain more robust process parameter setting, a new desirability function is proposed by considering POE as well as distance-to-target of response and response variance. The proposed method is illustrated using a rubber product case in Ribeiro et al. (2000).

그래프 분석과 호감도 함수를 이용한 헬리콥터 개발형상의 진동저감 사례 (A Case Study of Vibration Reduction of Helicopter Development Configuration Using Graphic Analysis and Desirability Function)

  • 김세희;이건명;신병철;변재현
    • 품질경영학회지
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    • 제43권3호
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    • pp.341-358
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    • 2015
  • Purpose: This paper presents graphic methods and desirability function approach to determine best vibration reducing configuration for Surion helicopter. Many flight tests were executed and nine vibration levels in cockpit, cabin, and engine room were measured in each test and analyzed to find optimal configuration. Methods: Graphic analysis methods such as matrix, scatter, and box plots are used to identify better vibration-reducing flight test conditions. As an integrated measure of the performance of 9 vibration levels desirability function approach is adopted. Results: Three vibration reducing configurations are found to be proper and one configuration is recommended. Conclusion: It is expected to be helpful to adopt graphic and desirability function methods presented in this paper in developing new products or systems like helicopters. For efficient and effective flight testing of helicopters, it will be necessary to have consistently homogeneous environment for flight testing and applying design of experiments techniques and analyzing test data.

Simultaneous Optimization for Robust Design Using Desirability Function to the Combined Array

  • Kwon, Yong-Man;Hong, Yeon-Woong
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2002년도 춘계학술대회
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    • pp.97-106
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    • 2002
  • Taguchi parameter design, the product-array approach using orthogonal arrays is mainly used. However, it often requires an excessive number of experiments. An alternative approach, which is called the combined-array approach, was suggested by Welch et. al. and studied by others. In these studies, only single quality characteristic was considered. We propose how to simultaneously optimize multiple quality characteristics using desirability function when we used the combined-array approach to assign control and noise factors. An example is illustrated to the combined-array approach.

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각 반응의 목표 영역 존재시의 다반응 최적화: 상대변화 제곱합의 최소화에 의한 방법 (Multiresponse Optimization in the Presence of the Goal Regions for the Respective Responses: A Method by Minimization of the Sum of Squares of Relative Changes)

  • 홍승만;임성수;이민우
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제1권2호
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    • pp.165-173
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    • 2001
  • The desirability function approach by Derringer and Suich (1980) and the generalized distance approach by Khuri and Conlon (1981) are two major approaches to multiresponse optimization for improvement of quality of a product or process. So far, the desirability function method has been the only tool for multiresponse optimization in the situations where there are the goal regions for the respective responses. For such situations, we propose a multiresponse optimization method based on the generalized distance approach.

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