• Proceedings of the Korean Society for Quality Management Conference
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• 1998.11a
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• pp.463-478
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• 1998

This study aims to improve the activities of Quality Circle of Korea companies. For this purpose we studied the fctors to influence the performances of Quality Circle activities, and based upon this result we suggested the improvement method of Quality circle activities. This study will give one way of activating the Quality Circles of our companies.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.2
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• pp.90-99
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• 2017

As the importance of R&D has increased, there have been various efforts to apply the quality management principles and tools to R&D activities in order to manage them effectively. The R&D sector differs from other value chains, so it may be difficult to apply quality management without proper considerations of R&D characteristics. This study describes the characteristics of R&D as high uncertainty and risk, diversity of R&D types, project-based activities, importance of strategic goals and business models, and importance of intangible assets. Three well accepted R&D quality management models are reviewed and implications for quality management and R&D characteristics are summarized. Based on these findings, the management targets of R&D quality management are classified into management level (organization, project) and management focus (process, output), and the contexts of R&D quality management are classified into R&D type (research, development) and market/customer requirement clarity (fluid, specific), and appropriate R&D quality management activities in each situations have been suggested.

• Journal of the Korea Safety Management & Science
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• v.13 no.3
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• pp.145-152
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• 2011

Company's survival in a changing business environment is depend on what kind of strategy will be used for facing this business competition society. For this, many companies continued to apply management techniques to improve the activities in this process has been running productivity-oriented activities to switch away from the quality has become a central activity. In other words, quality improvement activities (quality improvement activity) for the continuing businesses is an important strategic element. In this study, single-PPM (Single-PPM) the company's leading quality improvement activities will be used and browse to accommodate factors that affect a successful quality improvement activities, absolute requirement for companies to learn about the conditions to improve the quality of corporate tries to emphasize the importance of the activity.

• Journal of Korean Society for Quality Management
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• v.45 no.3
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• pp.547-560
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• 2017

Purpose: This study investigates the effect of CRM activities of Korean equipment construction companies on the quality satisfaction perceived by consumers as an analysis method using Kano model. Methods: It use the Kano model to classify the quality characteristics of the CRM activities of equipment construction companies, focusing on consumer perception, and analyze the effect on the level of quality satisfaction perceived by consumers. Results: The results showed that most of quality attributes of CRM activities in the equipment companies were categorized as 'one-dimensional' quality. Conclusion: The CRM activities in equipment construction compaies is verified to be essential component of successful strategy to improve customer's satisfaction.

• The Journal of Economics, Marketing and Management
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• v.8 no.3
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• pp.23-36
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• 2020

Purpose: The purpose of this study is to identify the strategic direction of organizations and their employees to efficiently utilize smart factories and enhance business performance among Korean manufacturing companies. Research design, data, and methodology: We derived a structured research model to check the mediated effect of utilization of smart factory between the characteristics of smart factory and the innovation activities. Results: Quality characteristics of smart factory and Innovation activities were all found to have a statistically significant effect on utilization of smart factory, utilization of smart factory was found to have a statistically significant effect on the business performance. And it has been shown that the utilization of smart factory is partially mediated relative to the quality characteristics of smart factory and business performance and relative to innovation activities and business performance. Conclusions: Smart factory builders can reflect the areas that affect utilization of the smart factory in their strategies by considering the quality characteristics of the smart factory and innovation Activities. Therefore, smart factory builders can identify the quality characteristics of smart factory and reflect them in the process and analyze active utilize measures through the innovative activities of the employees of the organization, thereby influencing business performance.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.4
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• pp.58-64
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• 2006

In this age of infinite competition, quality control plays a huge part in deciding whether companies survive or not. In order to successfully solve the fundamental questions of quality in corporate management under the given circumstances, I suggest that the followings are vital: 1) continuous training of employees and competence development; 2) advocating employees' voluntary involvements and their will to work; 3) revitalizing quality circle activities. Activities of quality circles, which are organized to work out fundamental problems within the corporation, are important in renovating the existing administration. Thus, the purpose of this study is to understand the degree of influence quality circle activities have on the management outcome of the corporation by analyses of actual proofs, and to raise the importance of these activities. Moreover, it purports to provide the foundation for domestic companies to move toward becoming competitive advantage organizations by endowing them with the motivation to activate quality circles.

• Journal of the Korea Safety Management & Science
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• v.14 no.4
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• pp.291-301
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• 2012

Quality management activities are an important factor that they could be regarded as a most significant drive to prompt growth of a corporation. From this research as core strategy of the enterprise single ppm wants to emphasize the importance of the quality management activity. The Empirical results are summarized as follows, for successful Single PPM, leadership and corporate culture should be based on. As Single PPM activities factor, Customer Management significantly affects Single PPM Performance. Therefore, to the success of quality management activities, internal corporate leadership and corporate culture must be formed. And for customer management, should take advantage of a variety of the company's internal and external information strategically.

• Journal of Korean Society for Quality Management
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• v.34 no.2
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• pp.68-76
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• 2006

It is generally thought that the quality management and the six-sigma management innovation are not applicable to service industry, which might be derived from some differences between service and manufacturing industries. However, both are substantially alike in some intrinsic attributes. KT is leading the quality management and the six-sigma innovation activities in service industry, especially among telecommunication companies in Korea. Six sigma management innovation has been fostered in KT within short period of time and played an important role in helping KT privatized successfully. The successful cases of six sigma innovation activities in KT could be introduced to other Korean companies in service industry. Five key factors for the success of six-sigma innovation activities are suggested, The hidden factory in all the fields of company should be eliminated. Six-sigma projects need to be connected with the company strategy. The project should be carried out intensively in a short time. The innovation activities in the field need to be integrated. The best practice of six-sigma should be disseminated in the field.

• Journal of the Korea Safety Management & Science
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• v.17 no.3
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• pp.319-330
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• 2015

This study examines the factors configuration management quality of the construction company, and to analyze the impact of these factors on Project Performance and Company Performance. That quality construction management configuration factors, chief executives, corporate strategy, organizational management, information technology, and partners five variables, Project Performance variables, process management, quality management, cost management, safety management, environmental management five variables, and Company Performance parameters of financial competence and organizational satisfaction, quality of work three variables, the overall causal relationship between the presence of specific activities and management quality, classified according to the size of the company were verified by the difference in impact between the two groups.

• Journal of Korean Society for Quality Management
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• v.52 no.1
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• pp.77-93
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• 2024

Purpose: The purpose of this study is to examine machine learning use cases in manufacturing companies from a digital quality management (DQM) perspective and to analyze and present machine learning research patterns from a quality management perspective. Methods: This study was conducted based on systematic literature review methodology. A comprehensive and systematic review was conducted on manufacturing papers covering the overall quality management process from 2015 to 2022. A total of 3 research questions were established according to the goal of the study, and a total of 5 literature selection criteria were set, based on which approximately 110 research papers were selected. Based on the selected papers, machine learning research patterns according to quality management were analyzed. Results: The results of this study are as follows. Among quality management activities, it can be seen that research on the use of machine learning technology is being most actively conducted in relation to quality defect analysis. It suggests that research on the use of NN-based algorithms is taking place most actively compared to other machine learning methods across quality management activities. Lastly, this study suggests that the unique characteristics of each machine learning algorithm should be considered for efficient and effective quality management in the manufacturing industry. Conclusion: This study is significant in that it presents machine learning research trends from an industrial perspective from a digital quality management perspective and lays the foundation for presenting optimal machine learning algorithms in future quality management activities.