• Journal of Korean Society for Quality Management
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• v.45 no.1
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• pp.1-10
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• 2017

Purpose: Most enterprises adopt six sigma acts to maximize the business performance with raising the executiveness for the project improvements in each parts. But there are little studies about six sigma actual operations in manufacturing whether the six sigma improvements that have injected a lot of budget, efforts, labours and time are run properly. Methods: This study select 31 interviewees who have MBB or BB from 5 large enterprises running six sigma over 10 years and 5 SMEs running six sigma over 5 years to understand and review the operational status of six sigma actions in manufacturing industry and to secure representativeness. This study identify the operational status of six sigma actions and key factors enhancing or impeding execution of six sigma projects through face-to-face interviews and online surveys by e-mail. Results: This study figured out the operational status of six sigma actions and key factors enhancing or impeding execution of six sigma projects. We used SPSS 16.0 for the reliability and the validity of survey data. Conclusion: There can be a lot of different factors that affect six sigma project improvements besides the key factors from this study. More study need to think of the organization characteristics and the basic conditions and to remedy the unreasonable points and defects rather than following foreign companies and enterprises.

• Asia pacific journal of information systems
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• v.10 no.4
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• pp.57-75
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• 2000

Most current literature on knowledge and technology transfer(Appropriability Model, Dissemination Model, and Knowledge Utilization Model), describe the process of transfer in details, but has limitation in terms of their application in contemporary high-tech industries since most studies have not provided plausible explanation on levels and factors affecting transfer of knowledge and/or technology. To overcome these limitations, the four levels of knowledge and technology transfer are suggested: Knowledge and Technology Creation(Level I), Sharing(Level II), Implementation(Level III), and Commercialization(Level IV). Comprehensive literature identifies sixteen variables affecting the process and results of knowledge and technology transfer. The survey results show four key factors in knowledge and technology transfer: Communication, Distance, Equivocality, and Motivation, Communication refers to the degree to which a medium is able to efficiently and accurately conveys task-relevant information and media while distance involves both physical and cultural proximity. Equivocality refers to the degree of concreteness of knowledge and technology to be transferred while motivation involves incentives for and the recognition of the importance of knowledge and technology transfer activities. Further analysis shows that there are four distinctive clusters and they show very contrasting characteristics in terms of four key factors. The careful mapping of the four clusters on the four key factors show very informative knowledge and technology transfer patterns, the Knowledge and Technology Transfer Grid. Finally, actions to increase communication interactivity and motivation, and to reduce cultural distance and equivocality are suggested.

• Nuclear Engineering and Technology
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• v.53 no.5
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• pp.1454-1463
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• 2021

Demographics, personality traits and attitudes are related to safety behaviors in varied workplaces, but their roles in nuclear power plants (NPPs) have not been fully understood. This study was conducted to explore the roles of a set of demographic, personality and attitudinal factors on self-reported safety behaviors (including safety participation and human errors) among NPP commissioning workers. Survey data were collected from 157 Chinese commissioning workers. Results showed that age and work experience were significantly associated with human errors, but not with safety participation. Neuroticism and conscientiousness were significantly related to human errors, while neuroticism, conscientiousness and agreeableness were significantly related to safety participation. Attitude towards questioning was observed as an antecedent of safety participation, and functioned as a mediating variable in the relation between conscientiousness and safety behaviors. The findings provide evidence-based implications on the design of diverse interventions and strategies for the promotion of safety behaviors in NPPs.

• Journal of the Semiconductor & Display Technology
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• v.21 no.4
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• pp.168-173
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• 2022

As the function of a product is advanced and the process is refined, the yield in the fine manufacturing process becomes an important variable that determines the cost and quality of the product. Since a fine manufacturing process generally produces a product through many steps, it is difficult to find which process or equipment has a defect, and thus it is practically difficult to ensure a high yield. This paper presents the system architecture of how to build a smart manufacturing system to analyze the big data of the manufacturing plant, and the equipment factor analysis methodology to increase the yield of products in the smart manufacturing system. In order to improve the yield of the product, it is necessary to analyze the defect factor that causes the low yield among the numerous factors of the equipment, and find and manage the equipment factor that affects the defect factor. This study analyzed the key factors of abnormal equipment that affect the yield of products in the manufacturing process using the data mining technique. Eventually, a methodology for finding key factors of abnormal equipment that directly affect the yield of products in smart manufacturing systems is presented. The methodology presented in this study was applied to the actual manufacturing plant to confirm the effect of key factors of important facilities on yield.

• Journal of Information Technology Applications and Management
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• v.30 no.6
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• pp.1-15
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• 2023

With the advent of the Fourth Industrial Revolution, propelled by digital technology, we are transitioning into an era of hyperconnectivity, where everything and objects are becoming interconnected. A smart supply chain refers to a supply chain system where various sensors and RFID tags are attached to objects such as machinery and products used in the manufacturing and transportation of goods. These sensors and tags collect and analyze process data related to the products, providing meaningful information for operational use and decision-making in the supply chain. Before the spread of COVID-19, the fundamental principles of supply chain management were centered around 'cost minimization' and 'high efficiency.' A smart supply chain overcomes the linear delayed action-reaction processes of traditional supply chains by adopting real-time data for better decision-making based on information, providing greater transparency, and enabling enhanced collaboration across the entire supply chain. Therefore, in this study, a hierarchical model for building a smart supply chain was constructed to systematically derive the importance of key factors that should be strategically considered in the construction of a smart supply chain, based on the major factors identified in previous research. We applied AHP (Analytical Hierarchy Process) techniques to identify urgent improvement areas in smart SCM initiatives. The analysis results showed that the external supply chain integration is the most urgent area to be improved in smart SCM initiatives.

• Journal of the Korea Institute of Building Construction
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• v.11 no.1
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• pp.45-50
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• 2011

Building construction projects have various risk factors, so accidents is easily occurred in construction field. Therefore, many studies have been carried out to find methods for reducing such accidents. However, most of these studies have been focused to engineering factors, such as working methods and safety guards and equipments. The purpose of this study is to select the key accident risk factors in building construction projects. For this study, we identified the accident risk factors, which include engineering, education, and enforcement factors, and quantitatively evaluated these factors using an analytic hierarchical process. Identifying the key accident risk factors will help to reduce accidents in building construction projects.

• Proceedings of the Safety Management and Science Conference
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• 2004.11a
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• pp.259-267
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• 2004

Enterprise must establish a properly competitive strategy according to environmental changes and international competitions. It is necessary to develop the strategy of competitive power for an efficient operation as well as system, industry, product and price competitions. This paper aims to propose a choice method of Competitive Power Key Factors which can be applied to unit parts and finished products, construction products, soft wear products based on Reliability.

• Journal of the Korea Institute of Building Construction
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• v.13 no.3
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• pp.242-252
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• 2013

Although many researchers and practitioners are in agreement about the potential applicability and benefit of BIM in construction, it is still unclear why BIM is adopted, and what factors enhance the adoption and implementation of BIM. As such, the mechanism of BIM acceptance and use remains in question. Therefore, this paper aims to identify the key factors affecting the acceptance of BIM in construction organizations, and to analyze the effect of intrinsic and extrinsic motivation factors on BIM acceptance. The key factors in BIM acceptance are identified through a literature review in TAM (Davis 1989) and related theories, and consolidated by interviews and pilot studies with professionals in the construction industry. Based on the factors, a questionnaire was designed and sent out to a total of 114 construction organizations in Korea, such as contractors, architects, and engineers. Using SPSS 12.0, the data was analyzed to determine the relationship between intrinsic and extrinsic motivation factors and BIM acceptance through multiple regression analysis. These findings will clarify what the highly prioritized factors are, and can also be used in an assessment tool for the performance of BIM utilization.

• Microbiology and Biotechnology Letters
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• v.47 no.4
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• pp.614-620
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• 2019

Microalgae have been explored as potential host species for biofuel production. Environmental factors affect algal growth and cellular composition. The effects of several key environmental factors, such as temperature, light, and pH of the medium on the growth and biochemical composition of Scenedesmus obliquus were investigated in this study. The highest growth rate of microalgae was observed at an optimal temperature of 25℃, 150 μmol/(m²·s) light intensity, and pH 10.0. The biochemical composition analysis revealed that the carbohydrate content decreased at lower (20℃) or higher temperature (35℃), whereas the protein and lipid contents increase at these temperatures. The fluctuation of light intensity significantly affected the contents of protein, carbohydrate, and lipid. The protein levels varied greatly when the pH of the medium was below 7.0. The carbohydrate and lipid contents significantly increased at pH above 7.0.

• The Journal of Korean Society for School & Community Health Education
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• v.18 no.3
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• pp.83-95
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• 2017

Objectives: The purpose of the research is understand the priorities of national competency standards vocational key competence factors in nurse who is work in Seoul and Incheon. Methods: The design of this study is descriptive investigation research, and the subjects were 144 nurse. we establish the vocational key competency defined in national competency standards as analytic hierarchy analysis model. The vocational key competency has 10 categories and 34 sub-categories. And based on the survey in nurse, the weight representing relative importance of each factor were calculated by using analytic hierarchy process method. Results: The analytic hierarchy process analysis on 10 categories showed that professional ethics(0.149) was higher than any other categories while that of numeracy(0.040) was at the bottom. And the analysis on sub-categories revealed that the most important factors in each categories included the Ethical community(Professional ethics), Conflict management skills(Interpersonal skills), Problem solving capability(Problem-solving skills), Listening skills(Communication skills), Applicable technical skills(Technical skills), Ability to understand business(Ability to understand organizational structures), Information processing capabilities(Information capacity), Self-management skills(Self-development capability), Ability to manage time(Resource management capabilities), Basic math skills(Numeracy). Conclusions: The results in this study can be used as basic data for the development of liberal arts curriculum for Nursing.