• Journal of Korean Society for Quality Management
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• v.30 no.1
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• pp.118-132
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• 2002

This paper presents a process incapability index to provide manager with various information of process and to reduce cost. The introduced process incapability indices indicate information about mean and variance of manufacturing process and variance of inspection process to evaluate process capability using ratio of variance and difference between target and mean to specification. This model can be used by the scale of six sigma management.

• Journal of the Korea Safety Management & Science
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• v.20 no.3
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• pp.47-63
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• 2018

The purpose of this research was to test the effects of technological innovation capability and technology commercialization capability on new product performance of the companies in electronics industry and the moderating role of perceived usefulness of government R&D support. For this study, Research data were collected through questionnaire instruments from the sample of 346 employees in 17 electronics companies of metropolitan area. The 305 sample was selected and analyzed by hierarchical regression technique. The results showed that technological innovation capability and technology commercialization capability had a positive effect on new product performance. And also found out perceived usefulness of government R&D support had the moderate roles between only technical innovation system our of three technological innovation capability factors and new product performance, and also between only manufacturing capability our of three technological commercialization capability factors and new product performance. With the research results, the implications for electronics company were discussed, and the directions for future research were suggested.

• Knowledge Management Research
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• v.20 no.3
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• pp.39-47
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• 2019

Response surface methodology (RSM) is a group of statistical modeling and optimization methods to improve the quality of design systematically in the quality engineering field. Its final goal is to identify the optimal setting of input variables optimizing a response. RSM is a kind of knowledge management tool since it studies a manufacturing or service process and extracts an important knowledge about it. In a real problem of RSM, it is a quite frequent situation that considers multiple responses simultaneously. To date, many approaches are proposed for solving (i.e., optimizing) a multi-response problem: process capability function approach, desirability function approach, loss function approach, and so on. The process capability function approach first estimates the mean and standard deviation models of each response. Then, it derives an individual process capability function for each response. The overall process capability function is obtained by aggregating the individual process capability function. The optimal setting is given by maximizing the overall process capability function. The existing process capability function methods usually use the arithmetic mean or geometric mean as an aggregation operator. However, these operators do not guarantee the Pareto optimality of their solution. Moreover, they may bring out an unacceptable result in terms of individual process capability function values. In this paper, we propose a maximin-based process capability function method which uses a maximin criterion as an aggregation operator. The proposed method is illustrated through a well-known multiresponse problem.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.1
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• pp.111-116
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• 2009

Process capability indices have been widely used in manufacturing industries to provide a quantitative measure of process performance. PCIs have been developed to represent process capability more exactly. In the previous studies, only one designated location on each part has been measured. But multiple measurement locations on each part are required to calculate the reliable process capability. In this paper, we propose a new process capability index dealing the multiple measurement locations on each part. Also we showed the relationship between the new index and sigma level according to the number of measurement locations.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.3
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• pp.28-36
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• 2007

Process Capability indices (PCIs) have been widely used in manufacturing industries to provide a quantitative measure of process performance. PCIs have been developed to represent process capability more exactly. In the previous studies, only one designated location on each part is measured. But even though in single process, multiple measurement locations on each part are required to calculate the reliable process capability. In this paper, we propose a new process capability index with multiple measurement locations on each part. We showed numerical examples and sensitivity analysis according to the number of measurement locations.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.21 no.45
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• pp.347-356
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• 1998

For assessing the capability of a process, the quantification of process location and variation is central to understanding the quality of units produced from the manufacturing process. Conventional process capability indices is insufficient to drive out the information for process condition, furthermore it is very difficult to evaluate the process capability accurately when the target value is not consistent with the center of specification, and/or the shape of distribution is changed, but the process incapability indices is enable to provide more detailed information to evaluate the process capability by dividing information about the process mean and variance. In this paper, we have a brief review and comparison about these indices, provide an understanding of the relationships between the process capability indices and the incapability indices. And we explore the strengths and weakness of these indices as they apply to normally distributed process, and to examine the effect that non-normality has on these indices.

• Korea Trade Review
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• v.42 no.2
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• pp.1-27
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• 2017

The purpose of this paper is to examine how industry-level R&D investments increase exports in Korean manufacturing industries through the strengthening of product competitiveness and cost competitiveness. We developed a research model indicating that R&D investments positively affect product competitiveness and cost competitiveness, in which investments in R&D will finally lead to increases in exports in manufacturing industries. Product competitiveness is divided into new product innovation capability and product quality competitiveness, while cost competitive advantage is divided into labor productivity and capital productivity. We have collected data from 20 manufacturing industries between 2004 and 2014, and analyzed them through path analysis. Empirical results of this study are as follows. First, R&D investment in the manufacturing industry positively affects new product innovation capability, product quality competitiveness, labor productivity and capital productivity of the industries. Second, increased product quality competitiveness, labor productivity and capital productivity positively affects exports of Korean manufacturing industries. Thus, we can conclude that R&D investments in Korean manufacturing industries positively influence exports through increases in product quality competitiveness, labor productivity and capital productivity.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.2
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• pp.91-100
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• 2018

Small and medium enterprises (SMEs) endeavor to overcome the adverse resource conditions and secure competitive advantage through technological innovation capability. Prior studies have focused on the overall or specific dimensions of technological innovation capability, and examined their performance impact. However, there has been less scholarly attention on the dynamic characteristics such as the relative importance of technological innovation capability or its performance impact at the different growth stages of a firm. In this vein, this study investigates the relationship between SME innovation capability and innovation performance at each growth stages of a firm. Based on the empirical analysis of manufacturing SMEs in Korea, we found that all dimensions of technological innovation capability had positive effects on innovation performance. However, each dimension of technological innovation capability had different effect on innovation performance by the growth stages. The planning capability can improve innovation performance at the growth and maturity stages. Manufacturing capability can have positive effect on innovation performance at the maturity stage. Both of new product development capability and commercialization capability contribute to innovation performance at all of the growth stages. This study suggests the guidelines for enhancing technological innovation capability at the different growth stages of SMEs. It also provides policy implications for the design and operation of growth-stage specific programs. Finally, the limitations of the research and future research directions are presented.

• Journal of the Korea Safety Management & Science
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• v.7 no.2
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• pp.107-121
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• 2005

The growth and survival of a enterprise depend upon its proper strategic capability against the rapid change in environment. The enterprise that well accommodates the changing environment and properly uses the resources will continue its growth. The problems in accommodating business environment are how to focus the limited manufacturing strategy on certain point. The manufacturing innovation program receives a large effect in the manufacturing strategy. Consequently it follows the degree with manufacturing innovation program agrees with the manufacturing strategy determine the maximization of the manufacturing and management performance.

• Elastomers and Composites
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• v.56 no.3
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• pp.164-171
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• 2021

Due to the problem of environmental pollution by plastics, it is necessary to decrease their consumption. In the case of PET bottles, it is essential to reduce the thickness of the bottle for the reduction of plastic used. For manufacturing PET bottles with reduced thickness, it is a prerequisite to design a preform with reduced thickness and study its molding capability. In this study, the injection molding capability was investigated after reducing the body thickness of the preform to 15% and 20%, respectively, for the two preform models currently in use. Injection molding analysis was performed on the existing models and on the models for reduced weight, under the molding conditions of the existing models. Using the computed results, temperature distribution, pressure distribution, deformation and clamping force were compared. Based on the analysis, the injection conditions of the preform model with less thickness were discussed.