• Journal of Korean Society for Quality Management
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• v.22 no.3
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• pp.34-53
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• 1994

Taguchi's robust design methodology has focused only on a single performance characteristic or response, but the quality of most products is seldom defined by a characteristic, and is rather the composite of a family of characteristics which are often interrelated and nearly always measured in a variety of units. The multiple performance characteristics problem is how to compromise the conflicts among the selected levels of the design parameters for each individual performance characteristic. In this paper, the modified desirability function using SN ratio which can be optimized by univariate technique is proposed and a parameter design procedure to achieve the best balance among several different response variables is developed We reanalyze two existing case studies by the proposed method and compare these results with ones by the sum of SN ratios and the expected weighted loss.

• Journal of the Korea Fashion and Costume Design Association
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• v.4 no.2
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• pp.103-126
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• 2002

The purpose of this study was to examine the consumer's quality evaluation on the apparel of adult males and females. A demonstrative study was conducted using a questionnaire on adults over 20 years old who were considered to afford to purchase clothes. A total of 380 questionnaires were used for the demonstrative analysis. The study used SPSSWIN V.8.0 for the analysis. Frequency analysis, ANOVA, t-test, multiple regression analysis, and duncan test are executed. The study result is as follows: First, 19 attributes of customer quality perception are grouped into 2 categories of satisfier, dissatisfier factor by the role of each attribute. Second, significant differences are found partly in quality indications- including fabric compositions, sizes, fabric care, manufactured-place, and the place of origin, the importance degree of indication and general satisfaction in quality indicating system.

• Journal of Korean Society for Quality Management
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• v.15 no.2
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• pp.69-73
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• 1987

The aim of this study is to find out the optimal goods for the marketing research through analysing the factor effecting the marketing survey by using the experimental design method. The decisive effecting factors in relation with the marketing survey were investigated as follows; 1. A row effect (Ai; i = 1, 2, ... n) is the design sorts of woman-clothes bias. 2. A column effect (Bi; i = 1, 2, ... n) is the woman-consumer bias. In this paper the experimental design, execution and statistical analys is were conducted to find out the optimal goods for marketing research.

• Asia Marketing Journal
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• v.1 no.3
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• pp.53-78
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• 1999

Despite of the vibrant nature of the fitness industry, there has not been a sustained effort to understand the dynamics of the industry, particularly with reference to the quality of services offered in that industry. The purpose of this paper is to present a system based process model of quality in health/fitness services. The characteristics of the organization, the service employees and the client are the inputs into the service encounter where the service is produced (i.e., the throughput). The output is the quality of the service. The extent of quality perceived by both the service provider and the client is said to influence the satisfaction of the respective parties, and subsequent motivation to participate in the production of quality in the service. The model also suggests that physical environment as well as other customers and their behaviors influence customer perception of service quality. The quality of service is enhanced through the quality assurance practices of the organization and the feedback from client. Further, the input, throughput, and output in our model reflect (a) quality of the design of the service delivery system, (b) objective quality of the product, and (c) quality as perceived by client. The specific attributes of the design element (i.e., organization, service employee, and the client) are elaborated upon. It is suggested that the organization can assure quality by seeking feedback from clients and service employees, monitoring the service production phases, and managing inter-customer interactions.

• Korean Journal of Computational Design and Engineering
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• v.17 no.6
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• pp.398-408
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• 2012

This paper investigates the tolerance stack-up in a commercial sliding-type mobile phone model developed by a Korean electronics company, with focus on the dimensional quality of the gap between the sliding top and the main body. The tolerance analysis in this study is done using a commercial software package, which runs Monte Carlo simulations to produce the statistical distributions of the gap size at desired locations. Such an analysis revealed that the original design did not yield the desired dimensional quality of the gap. Through a series of systematic analyses and syntheses, an improved design is proposed for the nominal dimensions and tolerances of selected features of the parts. The proposed design was validated, through tolerance analysis simulation, to meet the desired requirement of the gap quality.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.4
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• pp.174-179
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• 2022

Companies are making design changes by improving product quality and function to succeed while meeting customer requirements continuously. Design changes are changing the product BOM's amount, item, specification, and shape while causing a change in the product's structure. At this time, the problem of inventory exhaustion of parts before design change is a big topic. If the inventory exhaustion fails, the pieces before the design change become unused and are discarded, resulting in a decrease in asset value, and the quality cost of the design change affects the company's profits. Therefore, it is necessary to decide to minimize quality costs while minimizing waste inventory costs at the time of application of design changes. According to the analysis, priorities should be prioritized according to urgency because the quantity of items before the design change affects the applied lead time.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.6
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• pp.370-376
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• 2016

Manufacturing data analysis and its applications are getting a huge popularity in various industries. In spite of the fast advancement in the big data analysis technology, however, the manufacturing quality data monitored from the automated inspection system sometimes is not reliable enough due to the complex patterns of product quality. In this study, thus, we aim to define the level of trusty of an automated quality inspection system and improve the reliability of the quality inspection data. By correlation analysis and feature selection, this paper presents a method of improving the inspection accuracy and efficiency in an SVM-based automatic product quality inspection system using thermal image data in an auto part manufacturing case. The proposed method is implemented in the sealer dispensing process of the automobile manufacturing and verified by the analysis of the optimal feature selection from the quality analysis results.

• International Journal of Naval Architecture and Ocean Engineering
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• v.12 no.1
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• pp.617-635
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• 2020

The purpose of this study is to discuss how to improve the maneuverability of lifting and diving for underwater vehicle's vertical motion. Therefore, to solve these problems, applied the 3-D numerical simulation, Taguchi's Design of Experiment (DOE), and intelligent parameter design methods, etc. We planned four steps as follows: firstly, we applied the 2-D flow simulation with NACA series, and then through the Taguchi's dynamic method to analyze the sensitivity (β). Secondly, take the data of pitching torque and total resistance from the Taguchi orthogonal array (L9), the ignal-to-noise ratio (SNR), and analysis each factorial contribution by ANOVA. Thirdly, used Radial Basis Function Network (RBFN) method to train the non-linear meta-modeling and found out the best factorial combination by Particle Swarm Optimization (PSO) and Weighted Percentage Reduction of Quality Loss (WPRQL). Finally, the application of the above methods gives the global optimum for multi-quality characteristics and the robust design configuration, including L/D is 9.4:1, the foreplane on the hull (Bow-2), and position of the sail is 0.25 Ls from the bow. The result shows that the total quality is improved by 86.03% in comparison with the original design.

• Journal of Korean Society for Quality Management
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• v.21 no.1
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• pp.96-107
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• 1993

In parameter design Taguchi analyzed a statistic which he called signal-to-noise(SN) ratio by using the experimental design technique. However he gave no justification for using SN ratios in the optimization procedure of parameter design. In this paper we discuss the validity of such SN ratios as proper statistics to be analyzed in parameter design. Moreover, using the real empirical data we examine the appropriateness of SN ratios, and we explain how transformation technique can be applied in parameter design as an alternative method of analysis.

• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.123-128
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• 2010

This article investigates economic-statistical design of VSI(variable samling interval) charts considering Various Runs Rules. Most recent adaptive control charts are conplex designs. Actually It's not easy to operating control quality process. We propose a procedure for designing VSI Runs charts, based on Lorenzen and Vence's model. The optimal design parameters of the charts can be determined by minimizing the cost model. And computational experiments show that the VSI Runs Rules charts is superior to the FSSI Runs Rules charts in the economic-statistical characterisitics.