• 제목/요약/키워드: Innovation Cycle

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A Study on Wear-Life Prediction of Conductor Roll Polisher in EGL Polishing Process (EGL 공정용 컨덕터 롤 폴리셔 수명 예측에 관한 연구)

  • Ku, Ja-Kyung;Ko, Jong-Min;Ku, Tae-Wan;Kang, Beom-Soo
    • Journal of the Korean Society for Precision Engineering
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    • v.28 no.9
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    • pp.1062-1069
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    • 2011
  • In electro-galvanizing line to manufacture the electro-galvanized steel sheet, polishing system is required to maintain clean surface of conductor roll and to secure the quality of the steel sheet. At the same time, prediction and decision of the replacement cycle for felt material and its brush installed in the polishing system is also important because the brush is directly contacted on the conductor roll surface. In this study, the polishing system has been designed which the brush is repetitive translating according to the longitudinal direction of the conductor roll. Furthermore, the prediction on the wear-life of the felt material used for the brush is performed using the contact pressure extracted by finite element analysis. And to verify the predicted wear-life of the felt material, the experimental study is also carried out. From the comparison result between the predicted and the measured wear-life of the felt material, it is presented that the wear-life and the replacement cycle of the felt material are well predicted by considering a wear compensation factor, and the wear compensation factor is useful and reasonable.

An Integrative Way of Process Analysis for Better Total Quality Management: Focusing on Drug Entity (종합적 질 관리 (TQM)를 위한 프로세스 분석 방법 -의약품 실체를 중심으로-)

  • Kim, Myeng-Ki
    • Quality Improvement in Health Care
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    • v.1 no.1
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    • pp.56-65
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    • 1994
  • Total quality management has been a focus of concern in recent years since some dissatisfaction with the results from implementation of quality assurance programs in the U.S. Many managerial methodologies and innovation guidelines from academic disciplines have been applied to promote TQM programs in the health field. This paper consists of two folds of aspects: firstly to examine TQM's managerial philosophy by comparing with the newly introduced managerial concepts in Business Reengineering; and then to introduce a method for an integrative way of process analysis, Entity Life-Cycle Diagram (ELCD) modeling. The analysis method was compared with Process Map, which is a well-known method for BR applications. To show effectiveness of ELCD modeling, a case of application was introduced using 'drug' as a target entity. With having TQM issues in mind, the result was reflected in designing Entity Relation Diagrams. The results of ELCD modeling turn out to be helpful in designing database related to quality monitoring, in that many monitoring check points can be identified in a systematic way and that queries cross-sectional over organizational boundaries can be generated with a consistent view focusing on the drug use as a single process. Full evaluation of the analysis method remains to be studied until the completion of the information system under construction. But as long as TQM is based on a process-oriented view and needs supports from information system, ELCD can be one of the appropriate choice as a tool for the process analysis.

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An 3-Layer Dimensional Reference Model on the Service Science Research Scope Framework (서비스사이언스의 연구 영역에 관한 3계층 입체 참조 모형)

  • Ahn, Yeon S.;Han, Jae Woo
    • Journal of Service Research and Studies
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    • v.4 no.2
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    • pp.85-95
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    • 2014
  • This research was tried for developing the model on the service science research scope. The suggested model is composed as 3 layer dimensional reference model. The first axis is on the perspective of service life cycle. Another second axis is on the service research characteristics or types. And last axis is also on the service systems. At here, service life cycle is related to service strategy, service development, and service implementation of operation. The service research characteristics or types is related to service basic research, service application research, and service convergence research. Lastly, the service systems is related to the needs analysis, service competence and service resources. This model can be applicable to include the various research topic or theme related on the service sciences. In the future, some enhanced models from researchers or practices from service providers, related on the service science research scope, are expected.

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Estimation of Semiconductor Market, Using NLS Diffusion Model (비선형회귀 확산모형을 이용한 반도체 시장수요 추정)

  • Kim, Gene;Khoe, Kyung-Il
    • Journal of Digital Convergence
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    • v.12 no.3
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    • pp.141-147
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    • 2014
  • Diffusion model is popular research topic in marketing and economy particularly for the areas of model specification and market size forecasting. In particular, Bass model can explain Roger's innovation diffusion and product life cycle through easy mathematical representation and hence the model has been widely used for the explanation of adopting innovative new products and technologies. Nonetheless, there're only a couple of pioneering researches about semiconductor market, using diffusion models. Consequently, we'd utilise NLS approach diffusion model to estimate the market potential of MOSFET, major switching device for power management of system, and explain the process to industry stakeholders and policy makers for delivery of managerial implication with pragmatic purpose.

Big Data Analytics for Countermeasure System Against GPS Jamming (빅데이터 분석을 활용한 GPS 전파교란 대응방안)

  • Choi, Young-Dong;Han, Kyeong-Seok
    • Journal of Advanced Navigation Technology
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    • v.23 no.4
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    • pp.296-301
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    • 2019
  • Artificial intelligence is closely linked to our real lives, leading innovation in various fields. Especially, as a means of transportation possessing artificial intelligence, autonomous unmanned vehicles are actively researched and are expected to be put into practical use soon. Autonomous cars and autonomous unmanned aerial vehicles are required to equip accurate navigation system so that they can find out their present position and move to their destination. At present, the navigation of transportation that we operate is mostly dependent on GPS. However, GPS is vulnerable to external intereference. In fact, since 2010, North Korea has jammed GPS several times, causing serious disruptions to mobile communications and aircraft operations. Therefore, in order to ensure safety in the operation of the autonomous unmanned vehicles and to prevent serious accidents caused by the intereference, rapid situation judgment and countermeasure are required. In this paper, based on big data and machine learning technology, we propose a countermeasure system for GPS interference that supports decision making by applying John Boyd's OODA loop cycle (detection - direction setting - determination - action).

A Study on the Application of Design VE Process in Pre-Construction Phase for GMP Determination of CM at Risk Project (시공책임형 CM 사업의 GMP 결정를 위한 시공이전단계 설계VE 프로세스 적용방안 도출)

  • Park, Bo-sung;Kim, Ok-kyue
    • Korean Journal of Construction Engineering and Management
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    • v.23 no.5
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    • pp.56-64
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    • 2022
  • Although pilot projects have been actively carried out from 2017 to present to institutionalize CM at Risk, one of the major tasks for innovation in the construction industry, standards and processes related to Design VE, a key tool for determining GMP in the pre-construction phase, have not yet been established. Therefore, through research and operation status related to CM at Risk and Design VE, and survey on project participants' perception, the problem of the existing design VE process was derived, and the design VE process suitable for the CM at Risk project was proposed. The application plan was proposed in three aspects: Schedule, Cycle, and Process, and the appropriateness and applicability were verified through FGI. The results of this study are expected to be used as basic data on the establishment and legislation of order standards to be made in the future.

Spatial effect on the diffusion of discount stores (대형할인점 확산에 대한 공간적 영향)

  • Joo, Young-Jin;Kim, Mi-Ae
    • Journal of Distribution Research
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    • v.15 no.4
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    • pp.61-85
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    • 2010
  • Introduction: Diffusion is process by which an innovation is communicated through certain channel overtime among the members of a social system(Rogers 1983). Bass(1969) suggested the Bass model describing diffusion process. The Bass model assumes potential adopters of innovation are influenced by mass-media and word-of-mouth from communication with previous adopters. Various expansions of the Bass model have been conducted. Some of them proposed a third factor affecting diffusion. Others proposed multinational diffusion model and it stressed interactive effect on diffusion among several countries. We add a spatial factor in the Bass model as a third communication factor. Because of situation where we can not control the interaction between markets, we need to consider that diffusion within certain market can be influenced by diffusion in contiguous market. The process that certain type of retail extends is a result that particular market can be described by the retail life cycle. Diffusion of retail has pattern following three phases of spatial diffusion: adoption of innovation happens in near the diffusion center first, spreads to the vicinity of the diffusing center and then adoption of innovation is completed in peripheral areas in saturation stage. So we expect spatial effect to be important to describe diffusion of domestic discount store. We define a spatial diffusion model using multinational diffusion model and apply it to the diffusion of discount store. Modeling: In this paper, we define a spatial diffusion model and apply it to the diffusion of discount store. To define a spatial diffusion model, we expand learning model(Kumar and Krishnan 2002) and separate diffusion process in diffusion center(market A) from diffusion process in the vicinity of the diffusing center(market B). The proposed spatial diffusion model is shown in equation (1a) and (1b). Equation (1a) is the diffusion process in diffusion center and equation (1b) is one in the vicinity of the diffusing center. $$\array{{S_{i,t}=(p_i+q_i{\frac{Y_{i,t-1}}{m_i}})(m_i-Y_{i,t-1})\;i{\in}\{1,{\cdots},I\}\;(1a)}\\{S_{j,t}=(p_j+q_j{\frac{Y_{j,t-1}}{m_i}}+{\sum\limits_{i=1}^I}{\gamma}_{ij}{\frac{Y_{i,t-1}}{m_i}})(m_j-Y_{j,t-1})\;i{\in}\{1,{\cdots},I\},\;j{\in}\{I+1,{\cdots},I+J\}\;(1b)}}$$ We rise two research questions. (1) The proposed spatial diffusion model is more effective than the Bass model to describe the diffusion of discount stores. (2) The more similar retail environment of diffusing center with that of the vicinity of the contiguous market is, the larger spatial effect of diffusing center on diffusion of the vicinity of the contiguous market is. To examine above two questions, we adopt the Bass model to estimate diffusion of discount store first. Next spatial diffusion model where spatial factor is added to the Bass model is used to estimate it. Finally by comparing Bass model with spatial diffusion model, we try to find out which model describes diffusion of discount store better. In addition, we investigate the relationship between similarity of retail environment(conceptual distance) and spatial factor impact with correlation analysis. Result and Implication: We suggest spatial diffusion model to describe diffusion of discount stores. To examine the proposed spatial diffusion model, 347 domestic discount stores are used and we divide nation into 5 districts, Seoul-Gyeongin(SG), Busan-Gyeongnam(BG), Daegu-Gyeongbuk(DG), Gwan- gju-Jeonla(GJ), Daejeon-Chungcheong(DC), and the result is shown

    . In a result of the Bass model(I), the estimates of innovation coefficient(p) and imitation coefficient(q) are 0.017 and 0.323 respectively. While the estimate of market potential is 384. A result of the Bass model(II) for each district shows the estimates of innovation coefficient(p) in SG is 0.019 and the lowest among 5 areas. This is because SG is the diffusion center. The estimates of imitation coefficient(q) in BG is 0.353 and the highest. The imitation coefficient in the vicinity of the diffusing center such as BG is higher than that in the diffusing center because much information flows through various paths more as diffusion is progressing. A result of the Bass model(II) shows the estimates of innovation coefficient(p) in SG is 0.019 and the lowest among 5 areas. This is because SG is the diffusion center. The estimates of imitation coefficient(q) in BG is 0.353 and the highest. The imitation coefficient in the vicinity of the diffusing center such as BG is higher than that in the diffusing center because much information flows through various paths more as diffusion is progressing. In a result of spatial diffusion model(IV), we can notice the changes between coefficients of the bass model and those of the spatial diffusion model. Except for GJ, the estimates of innovation and imitation coefficients in Model IV are lower than those in Model II. The changes of innovation and imitation coefficients are reflected to spatial coefficient(${\gamma}$). From spatial coefficient(${\gamma}$) we can infer that when the diffusion in the vicinity of the diffusing center occurs, the diffusion is influenced by one in the diffusing center. The difference between the Bass model(II) and the spatial diffusion model(IV) is statistically significant with the ${\chi}^2$-distributed likelihood ratio statistic is 16.598(p=0.0023). Which implies that the spatial diffusion model is more effective than the Bass model to describe diffusion of discount stores. So the research question (1) is supported. In addition, we found that there are statistically significant relationship between similarity of retail environment and spatial effect by using correlation analysis. So the research question (2) is also supported.

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  • The Role of Open Innovation for SME's R&D Success (중소기업 R&D 성공에 있어서 개방형 혁신의 효과에 관한 연구)

    • Yoo, In-Jin;Seo, Bong-Goon;Park, Do-Hyung
      • Journal of Intelligence and Information Systems
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      • v.24 no.3
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      • pp.89-117
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      • 2018
    • The Korean companies are intensifying competition with not only domestic companies but also foreign companies in globalization. In this environment, it is essential activities not only for large companies but also Small and Medium Enterprises (SMEs) to get and develop the core competency. Particularly, SMEs that are inferior to resources of various aspects, such as financial resources etc., can make innovation through effective R&D investment. And then, SMEs can occupy a competency and can be survive at the environment. Conventionally, the method of "self-development" by using only the internal resources of the company has been dominant. Recently, however, R&D method through cooperation, also called "Open Innovation", is emerging. Especially SMEs are relatively short of available internal resources. Therefore, it is necessary to utilize technology and resources through cooperation with external companies(such as joint development or contract development etc.) rather than self-development R&D. In this context, we confirmed the effect of SMEs' factors on sales in Korea. Specifically, the factors that SMEs hold are classified as 'Technical characteristic', 'Company competency', and 'R&D activity' and analyzed how they influence the sales achieved as a result of R&D. The analysis was based on a two-year statistical survey conducted by the Korean government. In addition, we confirmed the influence of the factors on the sales according to the R&D method(Self-Development vs. Open Innovation), and also observed the influence change in 29 industrial categories. The results of the study are summarized as follows: First, regression analysis shows that twelve factors of SMEs have a significant effect on sales. Specifically, 15 factors included in the analysis, 12 factors excluding 3 factors were found to have significant influence. In the technical characteristic, 'imitation period' and 'product life cycle' of the technology were confirmed. In the company competency, 'R&D led person', 'researcher number', 'intellectual property registration status', 'number of R&D attempts', and 'ratio of success to trial' were confirmed. The R&D activity was found to have a significant impact on all included factors. Second, the influence of factors on the R&D method was confirmed, and the change was confirmed in four factors. In addition, these factors were found that have different effects on sales according to the R&D method. Specifically, 'researcher number', 'number of R&D attempts', 'performance compensation system', and 'R&D investment' were found to have significant moderate effects. In other words, the moderating effect of open innovation was confirmed for four factors. Third, on the industrial classification, it is confirmed that different factors have a significant influence on each industrial classification. At this point, it was confirmed that at least one factor, up to nine factors had a significant effect on the sales according to the industrial classification. Furthermore, different moderate effects have been confirmed in the industrial classification and R&D method. In the moderate effect, up to eight significant moderate effects were confirmed according to the industrial classification. In particular, 'R&D investment' and 'performance compensation system' were confirmed to be the most common moderating effect by each 12 times and 11 times in all industrial classification. This study provides the following suggestions: First, it is necessary for SMEs to determine the R&D method in consideration of the characteristics of the technology to be R&D as well as the enterprise competency and the R&D activity. In addition, there is a need to identify and concentrate on the factors that increase sales in R&D decisions, which are mainly affected by the industry classification to which the company belongs. Second, governments that support SMEs' R&D need to provide guidelines that are fit to their situation. It is necessary to differentiate the support for the company considering various factors such as technology and R&D purpose for their effective budget execution. Finally, based on the results of this study, we urge the need to reconsider the effectiveness of existing SME support policies.

    A study on the efficiency measurement of University's technology transfer by DEA model (DEA 모형을 이용한 국내 대학의 기술이전 효율성 분석)

    • Jin, Gyung-Mi;Yoon, Byun-Gun
      • Journal of the Korea Academia-Industrial cooperation Society
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      • v.13 no.6
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      • pp.2558-2569
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      • 2012
    • While the cost of technology development is increased, the life cycle of products and services that have been developed has become progressively shorter. Open innovation have been increasing by company as a strategy to respond to the rapidly changed market. Technology transfer from universities is one of the typical means of technological innovation. Although a university has invested significant resources in R&D, the results has been neglected. Therefore, at the moment, research is needed about the outcomes and efficiency of technology transfer at universities. In the previous research, since most of studies focus on the analysis of factors that influence the outcome of technology transfer, in this study, targeting domestic universities, the efficiency of technology transfer at the university was analyzed. In addition, differences in the efficiency of different types of university is verified. Consequently, universities specializing in technology and industry has high-efficiency than the others. There is no significant difference between the groups of universities whether or not to participate in Technology Licensing Office(TLO). More efforts are required for successful results of TLO in Korea. This study is expected to be able to provide reasonable indicators on technology transfer for further research.

    Panax ginseng total protein promotes proliferation and secretion of collagen in NIH/3T3 cells by activating extracellular signal-related kinase pathway

    • Chen, Xuenan;Wang, Manying;Xu, Xiaohao;Liu, Jianzeng;Mei, Bing;Fu, Pingping;Zhao, Daqing;Sun, Liwei
      • Journal of Ginseng Research
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      • v.41 no.3
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      • pp.411-418
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      • 2017
    • Background: Recently, protein from ginseng was studied and used for the treatment of several kinds of diseases. However, the effect of ginseng total protein (GTP) on proliferation and wound healing in fibroblast cells remains unclear. Methods: In this study, cell viability was analyzed using the MTT [3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide] assay. Cell cycle distribution was analyzed by flow cytometer. The levels of transforming growth factor ${\beta}1$, vascular endothelial growth factor, and collagens were analyzed by enzyme-linked immunosorbent assay and immunofluorescence staining. The expressions of cyclin A, phosphorylation of extracellular signal-related kinase (p-ERK1/2), and ERK1/2 were analyzed by Western blotting. Results: Our results showed that GTP promoted cell proliferation and increased the percentage of cells in S phase through the upregulation of cyclin A in NIH/3T3 cells. We also found that GTP induced the secretion of type I collagen, and promoted the expression of other factors that regulate the synthesis of collagen such as transforming growth factor ${\beta}1$ and vascular endothelial growth factor. In addition, the phosphorylation of ERK1/2 at Thr202/Tyr204 was also increased by GTP. Conclusion: Our studies suggest that GTP promoted proliferation and secretion of collagen in NIH/3T3 cells by activating the ERK signal pathway, which shed light on a potential function of GTP in promoting wound healing.


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