• Title/Summary/Keyword: many variables

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Employees' shop-floor participation and incremental innovation in small business (중소기업의 기술혁신에 관한 연구 : 종업원의 현장참여를 중심으로)

  • 안관영
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.19 no.40
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    • pp.119-136
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    • 1996
  • With new competitive environments, innovation is more necessary to survive severe competitions than ever. However, most Small and Medium(SM) businesses are used to be short of professional staffs, money and equipments for performing various innovations(ie., technological or administrative innovation, product development or Process development, and radical or incremental innovation). Many students have suggested that incremental innovation is more adequate than radical innovation in SM business. The purpose of this paper is to find antecedent factors In promote employees' Incremental Innovation Activities(IIA), In analyse moderating effects of ability and attitudes, and to test the difference of IIA-level by ability(or attitudes) and 11 independent factors. Each IIA-level by 5 variables of 11 independent variables-job variety, importance, identity, communication, performance dependency-is found to be significantly different in high-ability group affirmative-attitude group.

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Initial Robust Design of Deadweight 150,000 ton Bulk Carrier (재화중량 150,000톤 산적화물선의 초기 로버스트 설계)

  • Koh, Chang-Doo;Kim, Soo-Young
    • Journal of Ocean Engineering and Technology
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    • v.13 no.4 s.35
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    • pp.182-189
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    • 1999
  • The robust design technology which can determine design variables getting best performance function with insensitivity to the environment noise, is an important method for improving the performance of products at low cost. Applying the robust design technology in ship design, Koh et al[10] introduced the planing hull design. This paper reports the application this technology to a 150K bulk carrier which has many design variables and shows that the robust design technology is superior to optimization technique in practical use.

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Digital divide among women: Focusing on the effects of socio-economic variables on Internet use (여성의 정보화촉진을 위한 인터넷 사용행동 연구)

  • 이성림;박명희;서정희
    • Journal of the Korean Home Economics Association
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    • v.42 no.2
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    • pp.177-193
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    • 2004
  • Using data from the 2001 Computer and Internet Use Survey by the National Statistical Office, this study investigated digital divide among women aged between 20 and 55. Following were the major findings. first, two-thirds of women did not use Internet even though many of these had Internet access at home. Second, those who did not have Internet access at home, those with a lower level of educational attainment, those with blue color or service occupations, and those with higher age were less likely to use Internet than their counterparts in these socio-economic variables. Third, expanding Internet infrastructure would not improve Internet use of the Elderly. Forth, the majority of those who did not use Internet did not recognize the Internet itself. Based on the result the policy implications for digital divide were suggested.

A Study on the Causal Relationship between the Expected Effects by Acceptance Attitudes of Smart Work (스마트워크에 대한 조직구성원의 수용태도와 기대효과간 인과관계에 관한연구)

  • Park, Kiho
    • Journal of Information Technology Services
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    • v.13 no.4
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    • pp.65-78
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    • 2014
  • In this study, I explored the causal relationship between acceptance attitudes and the expected effects of smart work. With the rapid development of smart technologies, lots of organizations try to innovate in the conventional working styles for maximizing organizational effectiveness and efficiency. Although many organizations wish to foster smart working environment, they don't have confidence in detailed action plans and effects from it. Therefore, this study that explores the causal relationship between acceptance attitudes and effects may have crucial meaning to organizations pursuing smart work. In this research empirically conducted by questionnaire survey, the acceptance attitudes as predictors and the expected effects of smart work as influenced variables were used. This research analyzed 118 collected data and multiple regression analysis. As a result of analysis, teleworking shows the positive relations to all of dependent variables. And others have a positive or negative influence on cognitive effects of smart work. Results of this study may give implications to organizations that want to implement smart work environment.

The Relationships among the Degree of Quality Cost Deviation, Quality Management Activities and Performance (품질비용 발생편차와 품질관리활동 그리고 성과간의 관계:품질성과와 납기성과를 중심으로)

  • 김달곤;김순기;정순여
    • Journal of Korean Society for Quality Management
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    • v.31 no.4
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    • pp.1-18
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    • 2003
  • Quality is a critical competitive factor in today's environment because of the impact of quality on costs and delivery. Many companies regard quality as a key concept of company strategy in order to achieve the competitive edge. Measuring and reporting quality cost is the first step in quality management program. The supposition of quality cost model is that investment in prevention activities will bring rewards from reduced failure costs, and that further investment in prevention activities will show profits from reduced appraisal costs. In this study, the degree of quality cost deviation is conceptualized. This means a deviation between the ideal and present ranking in the amounts of quality cost categories. This study analysed that the effect of its deviation on quality management activity and performance variables. However, there are no difference in these variables. The major reason is that most of companies are endeavoring for quality management but operating quality cost system unsystematically. The review against a prevention and appraisal activity is necessary.

반응표면분석(反應表面分析)과 그의 전산화(電算化)

  • Park, Seong-Hyeon
    • Journal of Korean Society for Quality Management
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    • v.7 no.1
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    • pp.3-14
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    • 1979
  • The primary objective of this paper is to aid the scientists and engineers in applying response surface procedures to obtain optimum operating conditions for many technical fields, particularly, for industrial manufacturing process. When a set of data is available from an experimental design, it is often of interest to fit a second order polynomial regression model in k independent variables, and find the condition of the independent variables (e. g., temperature, pressure, etc.) that optimize the response variable (e. g., yield, strength, etc.). This paper proposes a method how to obtain the optimum operating condition, and how 10 find the condition by using the computer. A computer program written in FORTRAN language is attached for the readers who may want to use the computer program.

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A Study on the Optimal Design for CLIP Rubber Product Made of EPDM Using Flow Analysis (EPDM재질 CLIP고무제품의 유동해석을 이용한 최적 설계에 관한 연구)

  • Huh, Young-Min;Lee, Kwang-O;Kang, Sung-Soo
    • Journal of the Korean Society for Precision Engineering
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    • v.23 no.1 s.178
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    • pp.159-165
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    • 2006
  • Many rubber products are used in industrial products such as various hoses, rubber belts and oil seals etc. Especially, more then 200 rubber parts are used in the automobile, but design technology of these is largely dependent on Held experiences. These methods brought about too much time and cost in the developing procedures. However, with the help of recent rapid development of non-liner computer analysis, we can develop new sound products at low cost. Therefore in this study, optimizations of design variables such as location and number of gate in order to develop CLIP rubber product made of EPDM were performed by CAE in which Cross-WLF equations are adopted. The validity of proposed variables is evaluated by comparison with real forming results.

Resistant Principal Factor Analysis

  • Park, Youg-Seok;Byun, Ho-Seon
    • Journal of the Korean Statistical Society
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    • v.25 no.1
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    • pp.67-80
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    • 1996
  • Factor analysis is a multivariate technique for describing the in-terrelationship among many variables in terms of a few underlying but unobservable random variables called factors. There are various approaches for this factor analysis. In particular, principal factor analysis is one of the most popular methods. This follows the mathematical algorithm of the principal component analysis based on the singular value decomposition. But it is known that the singular value decomposition is not resistant, i.e., it is very sensitive to small changes in the input data. In this article, using the resistant singular value decomposition of Choi and Huh (1994), we derive a resistant principal factor analysis relatively little influenced by notable observations.

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A Comparison of Alternative Approaches to Determinants of DEA Efficiency Scores (DEA효율성점수의 결정요인 분석방법 비교)

  • Kim, Seong-Ho
    • Journal of the Korean Operations Research and Management Science Society
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    • v.35 no.2
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    • pp.19-35
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    • 2010
  • Many papers have used a two-stage approach of first calculating DEA efficiency scores and then seeking to correlate these scores with various environmental variables. Most of the studies have not checked whether such a two-stage approach is statistically valid for identifying significant environmental variables. Recently Simar and Wilson (2007) (SW) introduce a sensible data generating process and bootstrap procedure based on truncated regression for the two-stage approach. Banker and Natarajan (2008) (BN) provide a statistical foundation for the two-stage approach comprising a DEA followed by an ordinary least squares or maximum likelihood estimation. Researchers have to identify an approach suitable for their research circumstances in terms of properties, merits, demerits, and robustness to plausible departures from its chosen data generating process. We summarize the foundations and properties of the two-stage procedures suggested by SW and BN. And we discuss merits and demerits of those procedures. Also using Monte Carlo simulation we assess their relative performance under several misspecified settings.

The design of magnetic circuit of magnetostrictive actuator using finite element method (유한 요소 해석을 통한 자기변형 구동기 자기 회로 설계)

  • 이석호;박영우
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.548-551
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    • 2004
  • Magnetostrictive actuators have seen increasing use in fine positioning system because it has many advantages such as friction free, resolution of ${\mu}{\textrm}{m}$ or nm scale, and powerful output force. Usually, the magnetic circuit of magnetostrictive actuator has components which are flux return path, coil, and magnetostrictive material. It is classified in two types according to existence of the permanent magnet. The magnetic circuit having optimal performances transfer magnetic field which is obtained by providing input current at coil without energy loss. This paper described mathematical model of magnetic circuit for getting design variables. The modeling equation is obtained from the relations between flux and reluctance of the magnetic equivalent circuit. Also, finite element analysis has been used to study the performance of magnetic circuit according to change of design variables such as existence and shape of the permanent magnet, flux return path etc. The modification of dimensions enables us to optimize magnetic circuit.

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