• Title/Summary/Keyword: defective factors

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Evaluation of the Quality Factors of Rubber Gloves with Analytic Hierarchy Process (계층적 분석과정을 이용한 고무장갑 품질요인 평가)

  • Yoo, Jong-Hun;Paik, Chun-Hyun
    • Korean Management Science Review
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    • v.26 no.2
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    • pp.61-70
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    • 2009
  • This study gives the quality factor evaluation of rubber gloves manufacturing, including a systematic classification of poor durability(internal quality factors) and look bad(external quality factors) as well as the types of defective items, along with the relationship between quality factors and the defective types. The relationship analysis between quality factors and the defective types are performed with AHP(Analytic Hierarchy Process) technique. The results of our study will be useful for quality management activities and manufacturing process in rubber gloves manufacturing companies.

Measurement of inconvenience, human errors, and mental workload of simulated nuclear power plant control operations

  • Oh, I.S.;Sim, B.S.;Lee, H.C.;Lee, D.H.
    • Proceedings of the ESK Conference
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    • 1996.10a
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    • pp.47-55
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    • 1996
  • This study developed a comprehensive and easily applicable nuclear reactor control system evaluation method using reactor operators behavioral and mental workload database. A proposed control panel design cycle consists of the 5 steps: (1) finding out inconvenient, erroneous, and mentally stressful factors for the proposed design through evaluative experiments, (2) drafting improved design alternatives considering detective factors found out in the step (1), (3) comparative experiements for the design alternatives, (4) selecting a best design alternative, (5) returning to the step (1) and repeating the design cycle. Reactor operators behavioral and mental workload database collected from evaluative experiments in the step (1) and comparative experiments in the step (3) of the design cycle have a key roll in finding out defective factors and yielding the criteria for selection of the proposed reactor control systems. The behavioral database was designed to include the major informations about reactor operators' control behaviors: beginning time of operations, involved displays, classification of observational behaviors, dehaviors, decisions, involved control devices, classification of control behaviors, communications, emotional status, opinions for man-machine interface, and system event log. The database for mental workload scored from various physiological variables-EEG, EOG, ECG, and respir- ation pattern-was developed to indicate the most stressful situation during reactor control operations and to give hints for defective design factors. An experimental test for the evaluation method applied to the Compact Nuclear Simulator (CNS) installed in Korea Atomic Energy Research Institute (KAERI) suggested that some defective design factors of analog indicators should be improved and that automatization of power control to a target level would give relaxation to the subject operators in stressful situation.

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Identification of Discrimination Factors for Development of Optical Soybean Sorter (대두의 광학적 선별장치 개발을 위한 선별 인자 구명)

  • 노상하;김현룡;황인근
    • Journal of Biosystems Engineering
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    • v.23 no.4
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    • pp.343-350
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    • 1998
  • Spectroscopic analysis of soybean kernels were made in the wavelength range of 400 to 1100 nm to find effective discrimination factors which are required for developing an opitical soybean sorter. Soybean samples used for the test were the sound and five classes of the defective kernels such as the immature, discolored(brown and violet), damaged by insect and diseased. Effective discrimination factors to classify the soybean kernels into the sound and the defective were found to be $R_{640}$, $R_{580}$/ $R_{990}$, $R_{600}$- $R_{820}$ and ( $R_{590}$- $R_{820}$)/ $R_{990}$. with classification error of less than 4%. Mahalanobis distance was used as a criterion to select significant wavelengths involved in the discrimination factors.s.

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Estimation of Process Parameters Using QFD and Neural Networks in Injection Molding (품질기능전개와 신경망 회로를 이용한 사출성형 공정변수의 예측)

  • Koh, Bum-Wok;Kim, Jong-Seong;Choi, Hoo-Gon
    • IE interfaces
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    • v.21 no.2
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    • pp.221-228
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    • 2008
  • The injection molding process is able to produce high precision manufactures as a single process with fast speed. However, the prices of both the mold and the molding machine are expensive, and the single process is very complex and difficult to compose of the exact relationship between the process setting conditions and the product quality. Therefore, the quality of a molded product often depends on a skillful engineer's operations in the design of both parts and molds. In this paper, the relationship between the process conditions and the defectiveness is built for better manufactures under settings of the appropriate parameters, and so it can reduce the setup time in the injection molding process. Quality Function Deployment (QFD) provides severe defectiveness factors along with the related process parameters. Also, neural networks estimate the relationship between defective factors and process setting parameters, and lead to reduce the defectiveness of molded parts.

A study of the factors affecting delay in apartment projects in Vietnam

  • Luu, Truong-Van;Kim, Soo-Yong
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2007.11a
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    • pp.718-721
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    • 2007
  • Construction schedule plays a key role in project management due to its influence on the project success. Thus, it is important to identify factors affecting construction delay. The major objective of this study is to identify and evaluate factors affecting construction delay in apartment projects in Vietnam. The findings confirmed that financial difficulties of owners and contractors, contractors without adequate experience, non-available materials on time, slow site clearance, inappropriate construction methods, defective works and reworks, and lack of capable owners/project managers are the major causes of delay in apartment projects.

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Thermal characteristics of defective carbon nanotube-polymer nanocomposites

  • Unnikrishnan, V.U.;Reddy, J.N.;Banerjee, D.;Rostam-Abadi, F.
    • Interaction and multiscale mechanics
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    • v.1 no.4
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    • pp.397-409
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    • 2008
  • The interfacial thermal resistance of pristine and defective carbon nanotubes (CNTs) embedded in low-density polyethylene matrix is studied in this paper. Interface thermal resistance in nanosystems is one of the most important factors that lead to the large variation in thermal conductivities in literature and the novelty of this paper lies in the estimation of the interfacial thermal resistance for defective nanotubes-systems. Thermal properties of CNT nanostructures are estimated using molecular dynamics (MD) simulations and the simulations were carried out for various temperatures by rescaling the velocities of carbon atoms in the nanotube. This paper also deals with the mesoscale thermal conductivities of composite systems, using effective medium theories by considering the size effect in the form of interfacial thermal resistance and also using the conventional micromechanical methods like Hashin-Shtrikman bounds and Wakashima-Tsukamoto estimates.

Adult hippocampal neurogenesis and related neurotrophic factors

  • Lee, Eu-Gene;Son, Hyeon
    • BMB Reports
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    • v.42 no.5
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    • pp.239-244
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    • 2009
  • New neurons are continually generated in the subgranular zone of the dentate gyrus and in the subventricular zone of the lateral ventricles of the adult brain. These neurons proliferate, differentiate, and become integrated into neuronal circuits, but how they are involved in brain function remains unknown. A deficit of adult hippocampal neurogenesis leads to defective spatial learning and memory, and the hippocampi in neuropsychiatric diseases show altered neurogenic patterns. Adult hippocampal neurogenesis is not only affected by external stimuli but also regulated by internal growth factors including BDNF, VEGF and IGF-1. These factors are implicated in a broad spectrum of pathophysiological changes in the human brain. Elucidation of the roles of such neurotropic factors should provide insight into how adult hippocampal neurogenesis is related to psychiatric disease and synaptic plasticity.

Optimal Process Condition for Products with Multi-Categorical Ordinal Quality Characteristic (다범주 순서형 품질특성을 갖는 제품의 최적 공정조건 결정에 관한 연구)

  • Kim Sang-Cheol;Yun Won-Young;Chun Young-Rok
    • Journal of Korean Society for Quality Management
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    • v.32 no.3
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    • pp.109-125
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    • 2004
  • This paper deals with an optimal process control problem in production of hull structural steel plate with high defective rate. The main quality characteristic(dependent variable) is the internal quality(defect) of plates and is dependent on process parameters(independent variables). The dependent variable(quality characteristics) has three categorical ordinal data and there are 35 independent variables(29 continuous variables and 6 categorical variables). In this paper, we determine the main factors and to develop the mathematical model between internal quality predicted probabilities and the main factors. Secondly, we find out the optimal process condition of main factors through analysis of variance(ANOVA) using simulation. We consider three models to obtain the main factors and the optimal process condition: linear, quadratic, error models.

A Study on the Material Properties and Durabilities of Epoxy-Type Repairing Materials (에폭시계 보수재료의 재료특성 및 내구성능 분석)

  • 김도겸;이장화;박승범
    • Proceedings of the Korea Concrete Institute Conference
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    • 1997.10a
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    • pp.659-664
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    • 1997
  • RC structures can deteriorate for many defective factors. In the repair and retrofit works of concrete, epoxy resins are widely used as repair materials. The object of this study is to investigate the material properties and durabilities of epoxy resins which are commonly used in repairing concrete. The material properties such as line-expansion modulus, viscosity, microstructure and physical parameter as well as the durabilities such as gravity change, tensile strength, elongation change were carried out.

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Reducing the Rate of Defective to Improve a Welding Condition -Based on Six Sigma Process- (용접조건 개선으로 불량률 감소 -6시그마 프로세스를 중심으로-)

  • 박진영
    • Journal of Korean Society for Quality Management
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    • v.31 no.1
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    • pp.123-131
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    • 2003
  • This paper considers a six sigma project for reducing the defects rate of the welding process in manufacturing firms. The project follows a disciplined process of five macro phases. define, measure, analyze, improve and control(DMAIC). The need of customers is used to identify critical to quality(CTQ) of project. And a process map is used to identify process input factors of CTQ. Four key process input factors are selected by using an input factor evaluation of teams; an interval of welding, an abrasion, an electric current and a moving freely. DOE is utilized for finding the optimal process conditions of the three key process input factors. Another one key input factor improved to welding machine. The six sigma level of defects rate becomes a 2.01 from a 1.61 at the beginning of the project.