• Title/Summary/Keyword: sigma value

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Ecotoxicity Assessment of Industrial Effluent in Korea (산업폐수 방류수의 생태독성 평가)

  • Oh, Kyung Taek;Kim, Ji Won;Kim, Woo Kun;Lee, Soon Ae;Yun, Hong Gil;Lee, Sung Kyu
    • Journal of Korean Society on Water Environment
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    • v.22 no.1
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    • pp.37-44
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    • 2006
  • Ecotoxicity assessments of 90 selected effluents of 22 industry types from 2002 to 2004 in Korea were evaluated by a toxic battery of bioassay test using fish Oryzias latipes, invertebrate Daphnia magna, algae Selenastrum capricornutum and bacteria Vibrio fischeri with the physicochemical measurement items and permit concentrations on the present Water Quality Conservation Act in Korea. Total toxic unit (${\Sigma}TU$) of 8 industry types of 22 industry types by the toxic battery appeared in order of the value site as follows; Pigment Dye Manufacturing (${\Sigma}TU$ 217.1) > Textile and Dye (${\Sigma}TU$ 39.3) > Semiconductor Electronic Manufacturing (Small) (${\Sigma}TU$ 25.6) > Wastewater and Sewage Treatment Plants (${\Sigma}TU$ 25.4) > Coating (${\Sigma}TU$ 23.8) > Leather Skin Manufacturing (${\Sigma}TU$ 18.0) > Synthetic Resin Manufacturing (${\Sigma}TU$ 15.6) > Assemble Metal Manufacturing (${\Sigma}TU$ 10.7). Our results demonstrate that ecotoxicity assessment, by bioassay test, is effective and practical for industrial wastewater management for 90 selected effluents with the limitation of the physicochemical permit. Among 90 effluents, 9 samples failed physicochemical permit limitation and 81 passed it. In result of ecotoxicity assessment of 90 effluents by the toxic battery, 76 effluents exhibited ecotoxicity and the others did not. The physicochemical measurement items and permit concentrations on the present Water Quality Conservation Act in Korea were low related to the ecotoxicity value by the toxic battery and appeared limited for water quality management to water-ecosystem and environment-friendly management of water.

A Study on the Precipitation of σ Phase in Super Duplex Stainless Steel (슈퍼 2상 스테인리스강의 σ상 석출에 관한 연구)

  • Gang, Chang-Yong;Klm, Ick-Soo
    • Journal of the Korean Society for Heat Treatment
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    • v.14 no.5
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    • pp.286-291
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    • 2001
  • This study was carried out to investigate the influence of ${\sigma}$ phase on the microstructure and mechanical properties in super duplex stainless steel. The precipitation of ${\sigma}$ phase during isothermal heat treatment showed the type S curves with a certain incubation period. The precipitation of ${\sigma}$ phase was precipitated at ferrite phase and interface of ferrite and austenite. Under the state of isothermal transformation, the precipitation of ${\sigma}$ phase was stimulated by applied stress. With increasing of volume fraction of precipitated ${\sigma}$ phase, tensile strength was increased and elongation was decreased with linear relationship, while in case of precipitated ${\sigma}$ phase was 5% over, impact value was rapidly decreased.

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Six Sigma Project Selection Integrated into the Business Strategy (경영전략과 통합된 6시그마 과제 선정 방안)

  • Hur, Won-Suk;Kim, Dong-Chun;Jang, Joong-Soon
    • IE interfaces
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    • v.16 no.spc
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    • pp.1-6
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    • 2003
  • This study deals with the problem of selecting 6 sigma projects. Traditionally, such selection was based on CTQ (critical to quality) or COPQ (cost of poor quality) derived within business units. Since the objective of 6 sigma is to achieve business goals in a short period, 6 sigma projects should be selected and carried out in coincidence with the whole company's strategies. This paper proposes two methods of selecting 6 sigma projects: one is to identify CTQ's by analyzing the company's BSC's (balanced score card) and then deploying them into subunits of the company and the other is to identify those projects with large hidden COPQ or cost of waste by applying value stream analysis and process model simulation to derive process cost models.

Effect of Aging on the Microstructure and Mechanical Properties in Super Duplex Stainless Steel (슈퍼 2상 스테인리스강의 미세조직 및 기계적 성질에 미치는 시효의 영향)

  • Kim, Su-Chun;Kang, Chang-Yong
    • Journal of Ocean Engineering and Technology
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    • v.23 no.3
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    • pp.40-45
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    • 2009
  • With the increase in the annealing temperature, the volume fraction of austenite phase increased and the volume fraction of ferrite phase decreased. In compliance with the addition of N, not only the volume fraction of austenite phase was increased but also the austenite structure was made larger. Volume fraction of ${\sigma}$ phase was increased by decreasing of the volume fraction of ferrite phase, with the increase in the aging time and in compliance with the addition of N. As increasing in volume fraction of ${\sigma}$ phase, tensile strength and hardness increased, while elongation and impact value decreased. Elongation slowly decreased and impact value rapidly decreased at the early stage of aging. By the added N, tensile strength, elongation, hardness and impact value was increased.

A Temperature Analysis Study of East Asia for Generation of Temperature Specification (온도규격 설정을 위한 동아시아 온도 분석연구)

  • 김인수;강치우
    • Journal of the Korea Institute of Military Science and Technology
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    • v.5 no.3
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    • pp.11-22
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    • 2002
  • In this paper, a statistical meaning that the 1% frequency value which is used as a basis for the temperature specification generation for weapon systems is similar to $3{\sigma}$ frequency value of a year is presented, and the theoretical reference for temperature specification generation is made. The new method which extracts the 1% frequency value from general weather data, not depending on long term temperature hour data, is established, and the temperature analysis result of East Asia is also presented by using this method. On the basis of these result, operational temperature for the weapon systems to be used in the area of East Asia is recommended.

Estimation of Lateral Dispersion Parameter using Observed Wind Direction Fluctuation in Chunchon (풍향변동량 측정에 의한 춘천지역의 연기 수평확산폭 산출)

  • 이종범;김정식;김용국;조창래
    • Journal of Korean Society for Atmospheric Environment
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    • v.12 no.2
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    • pp.141-149
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    • 1996
  • Lateral dispersion parameter(.sigma.$_{y}$) which is an important factor in atmospheric dispersion can be estimated byusing wind direction fluctuation(.sigma.$_{\theta}$). In this paper, we studied the characteristics of the .sigma.$_{\theta}$ in the Chunchon basin and calculated the .sig- ma.$_{y}$ by using the .sigma.$_{\theta}$. We could find some characteristics of the .sigma.$_{\theta}$ which showed small value, when the atmospheric condition was in weak unstable (C class) and neutral (D class). Moreover, when the atmospheric stability was neutral, there was no difference of .sigma.$_{\theta}$ with wind speed. On the other hand, .sigma.$_{\theta}$ showed large values at the strong unstable (A class) and strong stable (F class) condition with low wind speed. In this case, the .sigma.$_{\theta}$ increased as long as averaging time due to the long-period wind direction fluctuation by the terrain effect. In the result of calculation of .sigma.$_{y}$, it was smaller than that of pasquill-Gifford curve. Especially, when the atmospheric condition was in a neutral and stable, .sigma.$_{y}$ showed small increment as the downwind distance increased.creased.

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EXISTENCE, MULTIPLICITY AND UNIQUENESS RESULTS FOR A SECOND ORDER M-POINT BOUNDARY VALUE PROBLEM

  • Feng, Yuqiang;Liu, Sang-Yang
    • Bulletin of the Korean Mathematical Society
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    • v.41 no.3
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    • pp.483-492
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    • 2004
  • Let : [0, 1] $\times$ [0, $\infty$) $\longrightarrow$ [0, $\infty$) be continuous and a ${\in}$ C([0, 1], [0, $\infty$)),and let ${\xi}_{i}$ $\in$ (0, 1) with 0 < {\xi}$_1$ < ${\xi}_2$ < … < ${\xi}_{m-2}$ < 1, $a_{i}$, $b_{i}$ ${\in}$ [0, $\infty$) with 0 < $\Sigma_{i=1}$ /$^{m-2}$ $a_{i}$ < 1 and $\Sigma_{i=1}$$^{m-2}$ < l. This paper is concerned with the following m-point boundary value problem: $\chi$″(t)+a(t) (t.$\chi$(t))=0,t ${\in}$(0,1), $\chi$'(0)=$\Sigma_{i=1}$ $^{m-2}$ /$b_{i}$$\chi$'(${\xi}_{i}$),$\chi$(1)=$\Sigma_{i=1}$$^{m-2}$$a_{i}$$\chi$(${\xi}_{i}$). The existence, multiplicity and uniqueness of positive solutions of this problem are discussed with the help of two fixed point theorems in cones, respectively.

Framework and Tool for Quantitative Six Sigma Project Management (정량적 식스 시그마 프로젝트 관리를 위한 프레임워크와 도구)

  • Park, Hyun-Cheol;Ryu, Ho-Yeon;Baik, Jong-Moon
    • Journal of KIISE:Software and Applications
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    • v.35 no.4
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    • pp.234-244
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    • 2008
  • Since the advent of Six Sigma in 1980's, Six Sigma is widely used in various industry areas, such as manufacturing, financial, government, and service, and proves its innovation ability and value by providing lots of success stories. Several researches have been conducted to adopt Six Sigma for Software Development and Software Quality Assurance-Software Six Sigma. Although the wide use of Six Sigma, there is no software tool to support the execution of Six Sigma Project. For this reason, the Quantitative Six Sigma Project Management is required to support for measuring and analyzing Six Sigma Projects, storing and reporting the results from Six Sigma Projects, and managing Six Sigma Projects through the whole process of, DMAIC or DMADV. In this paper, we introduce the design and implementation of a Quantitative Six Sigma Project Management Framework and Tool. The execution of Six Sigma Project based on Six Sigma Project Management Tool benefits the quantification, the systematization, and the integration.

Process Capability Analysis by the Experiment of Chips (Chips 실험에 의한 공정능력의 해석)

  • 송서일;황의철
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.10 no.16
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    • pp.63-73
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    • 1987
  • Process capability is reflected on four major factors such as materials, equipments. skill of operators, and methods. The status of the process is typically represented by the mean value 〔$\mu$〕as a central tendancy, and the variance 〔$\sigma$$^2$〕 as a magnitude of dispersion. This paper analyzes the process capability by the experiment of chips is accounted on a population from the process. So, this paper analyzes the next four cases : (1) When the process distribution is changed from N[$\mu$$_1$, $\sigma$$^2$〕to N〔$\mu$$_2$, $\sigma$$^2$〕. (2) When the process distribution is changed from N[$\mu$, $\sigma$$_1$$^2$] to N[$\mu$, $\sigma$$_2$$^2$]. (3) When the population is compounded by the different two distributions of N〔$\mu$$_1$, $\sigma$$^2$〕and N〔$\mu$$_2$, $\sigma$$^2$〕. (4) When the population is compounded by the different two distributions of N〔$\mu$, $\sigma$$_1$$^2$〕 and N[$\mu$$\sigma$$_2$$^2$].

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