• Journal of the Korean Society of Manufacturing Technology Engineers
• /
• v.19 no.4
• /
• pp.521-528
• /
• 2010

A product system will be improved continually until requirements are satisfied. It is true that considering alternative designs to improve product system is hard work; it is also true that selecting an adequate design idea that represents the needs of stakeholders concerned and meets effectiveness factors properly is not an easy work, either. In the process of driv-ing an idea and designing, which is called Design Phase, there are lots of existing tools for testing the driven idea in DFSS. But, those kinds of tools do not offer the function that helps to select the technically better design idea among alternative design ideas that have the same evaluation level. Moreover it is inappropriate to select adequate alternative design ideas by just verifying only the evaluation table in pugh matrix, since satisfied deviation val-ues are low when there is a too competitive mass product system in a market. Also, for the IT product with short life cycle, faster and more effective testing tool is needed. Therefore, the 'roduct quality index' is suggested in order to select an appropriate candidate design concept for system development that meets requirements by using 'deality concept' pro-vided by TRIZ. According to the result of this research, it is possible to select technically better idea fast and effectively; it is confirmed by applying the approach to the case of LCD BLU (Back Light Unit).

• Journal of Applied Reliability
• /
• v.11 no.2
• /
• pp.177-186
• /
• 2011

Traditionally, one uses a method of straight-line recognition to evaluate quality of product or service. One can satisfy with the product or service if their physical requirement of are met some criterions and can not satisfy them if their physical requirement are not met. Kano, et al(1984) introduce two dimensional Quality model to evaluate quality of product or service. They classify Quality Characteristic of product and service to three categories; satisfying quality, attractive quality, expected quality. In this paper, 17 evaluation features in 6 categories of smart-card are obtained from Focus-interview and Brainstorming and classified into 3 categories of quality model by Kano's two dimensional method. This classification is expected to provide a guideline for evaluation of smart-card.

• Journal of Korean Society for Quality Management
• /
• v.25 no.2
• /
• pp.169-188
• /
• 1997

The purpose of this study is concerned with suggesting a new a, pp.oach to evaluating the overall product quality in the sense of the relative efficiency of products, whose quality is measured with 8-dimensional attributes, suggested by Garvin. The attributes included 8 quality measures, that is, performance, features, reliability, conformance, durability, serviceabilit, aesthetics, and perceived quality. This study, also, introduced DEA(Data Envelopment Analysis) as an evaluation tool to tackle the problem of how to measure one product against another when each product can be measured along a number of dimensions, and given that there exists no a priori satisfactory weighting scheme to combine these dimensions into an overall rating for each products. In order to a, pp.y the DEA to evaluating the products, we must define two concepts, such as DMU(Decision Making Units) and input-output relationship. Finally, the suggested method in this study was validated through a case study of the electric jar, and this DEA a, pp.oach can be used in evaluating the other products with multi-attrribute quality.

• International Commerce and Information Review
• /
• v.12 no.2
• /
• pp.357-381
• /
• 2010

The purpose of this paper is to investigate the effects of consumer's preferences for foreign products and extrinsic cues such as brand, country of origin, and corporate reputation on the consumer's evaluation which includes the construct of perceived quality, and loyalty. In addition, this paper is aimed to provide Korean firms insights in strategic approaches about foreign consumers behavior. A conceptual model is developed and empirically tested against a sample of university students in Korea, who have buying experience of products from multinational firms. 290 samples were used for this analysis. Results of multiple regression analysis using SPSS 18.0 show that consumer's preferences for foreign products, brand awareness, and corporate reputation have a significant effect on the perceived quality of the product from multinational firms. The most important factor to influence the perceived quality was found to be a corporate reputation. But country of origin had not significant effect. Also it is found that both product and product related service quality are positive and statistically significant in explaining the customer's loyalty. Implications for increasing perceived quality and customer's loyalty for Korean products in the global market are discussed.

• The Journal of Fisheries Business Administration
• /
• v.44 no.1
• /
• pp.1-14
• /
• 2013

The purpose of this study is examining an influence of a corporate on processed marine product's purchase intention with moderating effect of consumers' product evaluation adding processed marine product's evaluations as new variable. The hypothesis of a positive influence of processed marine product's corporate image on processed marine product's purchase intension is partially supported. Specifically, product itself, service, reliability, and communication among the factors of a processed marine product's corporate image significantly affect processed marine product's purchase intension whereas corporate social responsibility does not affect processed marine product's purchase intention. Processed marine product's evaluation also positively affects processed marine product's purchase intention. It implies that there are somewhat differences between influences of various factors of a processed marine product's corporate image on processed marine product's purchase intention but are overall influences of a processed marine product's corporate image on processed marine product's evaluation both directly and indirectly. Nowadays, consumer considers not only good quality of product but also its invisible image and value. Therefore, future studies should consider various ways to investigate a processed marine product's corporate image and processed marine product's product evaluation.

• The Research Journal of the Costume Culture
• /
• v.22 no.5
• /
• pp.655-669
• /
• 2014

This study was to examine the service and the product evaluation factors of Korean internet fashion shopping malls and to suggest marketing implications for Korean internet fashion shopping malls wanting to expand into the Chinese market. This study conducted a questionnaire survey for college female students in Qingdao, China, who have shopped at Korean internet shopping malls, and 310 surveys were used in the final analysis, frequency analysis, factorial analysis, and regression analysis. The results of the study were as follows. First, Most of the respondents answered that they found the Korean internet fashion shopping malls through the internet, and the most purchased item was outer clothing. Second, the system stability and web site structure excellence factors had a positive influence on the service satisfaction for the shopping mall 'S', while the system satisfaction, service efficiency, interactivity and web site structure excellence factors had positive influences on service satisfaction for the shopping mall 'P', and the system satisfaction, service efficiency, interactivity factors had positive influences on service satisfaction for the shopping mall 'N'. Third, examining the correlation between product satisfaction for the shopping mall 'S', 'P', and 'N' with fashion product evaluation factors showed that, design factors and quality excellence factors of the three shopping malls had positive influences on product satisfaction. The results of this research provide useful information in forming an efficient operating system and improving marketing strategies for internet fashion shopping malls planning to enter or having already entered the Chinese market.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.23 no.8
• /
• pp.1218-1227
• /
• 1999

Consumer evaluate the jeans product by price brand and store because these cues be surrogate indicator that could infer the product quality. But we need to confirm if depending on these cues were rational and this is the goal of this study. method of the study was based on theoretical and empirical study. For empirical study experiments by the subjects among students of Ewha Womans University were done by using jeans as stimulus,. Data was analized by ANOVA factor analysis grouping analysis F-test Pearson's correlation duncan Test and etc 571 data was analyzed of the 600 data. The results of this study are as follows : Evaluation on jeans product were different even though they were exactly the same jeans. Therefore we could confirm the bias by price brand store when consumer evaluate jeans product. Cues like price brand store effected significantly the evaluation of jeans. Quality perception of jeans was most favorable when evaluation cues were combined with high price famous brand and high prestige store. Value perception was favorable when combined with famous brand and high prestige store but value perception on high price became lowe. Purchase intention correlate with value perception and it shows same format with value preception. The most important cue of all three was store the next was price and then brand. These three cues effect the evaluation of jeans product seperately and together.

• Journal of Korean Society for Quality Management
• /
• v.32 no.1
• /
• pp.130-143
• /
• 2004

Although consumer needs for better products force manufactures to put emphasis on design, often development of a product has been done without the formal process to consider consumer needs. In order to identify the implicit needs of customers and the areas of potential demand on a product, several analysis scheme such as QFD (Quality Function Deployment) has been developed. QFD, also known as the House of Quality, is the efficient tool ever created to tie product and service design decisions directly to customer wants and needs, i.e. VoC (Voice of Customer) To utilize this tool on a product design, first of all, the consumers attributes and the engineering characteristics must be exactly investigated. However there were only few studies about them on shoe design. Hence in this paper we developed an innovative framework for shoes design based on QFD. As a result, we uncovered 29 dominant human satisfaction dimensions as the consumers attributes for customer-oriented quality evaluation of a comfortable shoes. Here, 29 human satisfaction dimensions for a shoe design were identified as the dimensions that represent the human sensitivity and psychological feeling on comfortable shoes. Also, we proposed 60 human interface elements as the engineering characteristics. The relationships between human satisfaction dimensions and human interface elements were investigated. This study will help the designers and manufacturers clarify the conceptual and abstract aspect of the design evaluation by proposing a more systematic and process-oriented method.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.21 no.46
• /
• pp.173-180
• /
• 1998

In conventional probability-based quality evaluation of products with qualitative characteristics, many factors that affect the evaluation are not easily represented quantitatively, because the relation between reliability of human evaluator and each of these factors is not clear. In order to evaluate the quality of product with qualitative characteristics quantitatively, in this paper, the relation is represented as the shape of possibility distribution function of fuzzy set on the interval [0,1]. Furthermore, fuzzy reasoning is used to obtain the estimates of quality characteristics. And, it is supposed that many quality characteristics affected by the above factors are connected with the final characteristic through hierarchical structures. Finally, using the estimates gained from the final evaluation, qualitative characteristics are evaluated by use of concept of pattern recognition.

• Corrosion Science and Technology
• /
• v.23 no.2
• /
• pp.131-138
• /
• 2024

This paper introduces Primetals Technologies' Through-Process Optimization (TPO) Services and Through-Process Quality Control (TPQC) System, which integrate domain knowledge, software, and automation expertise to assist steel producers in achieving operational excellence. TPQC collects high-resolution process and product data from the entire production route, providing visualizations and facilitating quality assurance. It also enables the application of artificial intelligence techniques to optimize processes, accelerate steel grade development, and enhance product quality. The main objective of TPO is to grow and digitize operational know-how, increase profitability, and better meet customer needs. The paper describes the contribution of these systems to achieving operational excellence, with a focus on quality assurance. Transparent and traceable production data is used for manual and automatic quality evaluation, resulting in product quality status and guiding the product disposition process. Deviation management is supported by rule-based and AI-based assistants, along with monitoring, alarming, and reporting functions ensuring early recognition of deviations. Embedded root cause proposals and their corrective and compensatory actions facilitate decision support to maintain product quality. Quality indicators and predictive quality models further enhance the efficiency of the quality assurance process. Utilizing the quality assurance software package, TPQC acts as a "one-truth" platform for product quality key players.