• Title/Summary/Keyword: industrial statistics

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Education Improvement Plan Related to Data Analysis & Processing in the ICT Field for the Era of Hyperconnectivity & Superintelligence

  • LEE, Seung-Woo;LEE, Sangwon
    • International Journal of Advanced Culture Technology
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    • v.9 no.4
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    • pp.102-109
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    • 2021
  • Since the 4th Industrial Revolution is implemented based on superintelligence, new insights must be provided through convergence studies with other fields to find optimal solutions to create new ideas. In this paper, we intende to present improvement measures for probability and statistical education, which is an athlete's subject on data analysis and processing in the ICT(Information & Communication Technologies) field in the era of superintelligence of the 4th industrial revolution. This paper aims to strengthen competitiveness through early development and commercialization of new technologies by presenting probabilities and statistical curriculums that require linkage in the ICT field. Second, it is necessary to present an educational system diagram linking probabilities and statistics in the ICT field to prepare a mid- to long-term response strategy for ICT education in response to innovative changes. Third, through a survey, we intend to present an effective educational operation plan linking probability and statistics to ICT major subjects by analyzing the perception of probability, statistical importance, and utilization of majors in this field.

Influence of Surface Heterogeneity on Turbulent Transfer in the Surface Layer (지표면의 비균질성이 지표층의 난류수송에 미치는 영향)

  • Hong, Seon-Ok;Lee, Young-Hee;Lim, Yoon-Jin
    • Atmosphere
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    • v.24 no.3
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    • pp.317-329
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    • 2014
  • Eddy covariance data have been analyzed to investigate the influence of surface heterogeneity on turbulent transfer over farmland and industrial sites near Nakdong river, Korea, where both large and small scale heterogeneities co-exist. For this purpose, basic turbulent statistics, quadrant analysis and multi-resolution decomposition have been analyzed during the daytime. Basic turbulent statistics were compared with typical turbulent statistics in the surface layer. Such comparisons were in close agreement for momentum and heat at both sites but not for water vapor at industrial site. The correlation coefficient between water vapor and vertical velocity ($r_{wq}$) is relatively low and skewness of water vapor ($sk_q$) is very low at industrial site, possibly due to limited water source. For heat at both sites and water vapor at farmland, the quadrant analysis show similar behavior to that over homogeneous site but for water vapor at industrial site, the presence of river and limited water source at industrial site seems to influence on water vapor transfer by coherent eddy motion by increasing sweep contribution and decreasing ejection contribution. Multi-resolution decomposition analysis shows that large scale heterogeneity leads to low $r_{Tq}$ at large averaging time regardless of season at both sites and there are seasonal changes of $r_{Tq}$ in mid-averaging times at industrial site, possibly due to seasonal change of trees and grasses near the site.

A New Sampling Design for the Industrial Hazards and Casualty Statistics (산업재해의 효율적 분석을 위한 표본설계)

  • 황진수
    • The Korean Journal of Applied Statistics
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    • v.12 no.2
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    • pp.363-374
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    • 1999
  • 산업재해는 일반재해, 중대재해, 직업병으로 나뉘어진다. 본 논문에서는 현재 산업안전공단에서 실시하고있는 일반재해에 관한 통계 산출방법을 검토하여 보고 효율적인 표본설계에 의한 새로운 통계 산출방법을 제시하고자 한다.

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Derivation of Cause Variables necessary for Electrostatic Fire/Explosion Risk Assessment and Accident Investigation (정전기 화재·폭발 위험성평가 및 사고조사에 필요한 발생원인 변수 도출)

  • Junghwan Byeon;Hyeongon Park
    • Journal of the Korean Society of Safety
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    • v.39 no.2
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    • pp.9-21
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    • 2024
  • Static-electricity-induced fires and explosions persistently occur every year, averaging approximately 80 and 20 cases annually according to fire statistics provided by the National Fire Agency and industrial accident statistics provided by the Ministry of Employment and Labor, respectively. Despite the relatively low probabilities of these accidents, their potential risks are high. Consequently, effective risk assessment methodologies and accident investigation strategies are essential for efficiently managing static-electricity hazards in fire- and explosion-prone areas. Accordingly, this study aimed to identify the causal variables essential for accident investigations, thereby facilitating risk assessments and the implementation of effective recurrence prevention measures to mitigate static-electricity hazards in fire-and explosion-prone regions. To this end, industrial accident statistics recorded over the past decade (2012 to 2021) by the Ministry of Employment and Labor were analyzed to identify major fire and explosion incidents and related industrial accidents wherein static electricity was identified as a potential ignition source. Subsequently, relevant investigation reports (63 cases) were thoroughly analyzed. Based on the results of this analysis, existing electrostatic fire and explosion risk assessment techniques were refined and augmented. Moreover, factors essential for investigating electrostatic fire and explosion disasters were delineated, and the primary causal variables necessary for effective risk assessments and scientific investigations were derived.

CUSUM Chart to Monitor Dispersion Matrix for Multivariate Normal Process

  • Chang, Duk-Joon;Kwon, Yong-Man;Hong, Yeon-Woong
    • 한국데이터정보과학회:학술대회논문집
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    • 2003.05a
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    • pp.89-95
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    • 2003
  • Cumulative sum(CUSUM) control charts for monitoring dispersion matrix under multivariate normal process are proposed. Performances of the proposed CUSUM charts are measured in terms of average run length(ARL) by simulation. Numerical results show that small reference values of the proposed CUSUM chart is more efficient for small shifts in the production process.

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Truck Weight Estimation using Operational Statistics at 3rd Party Logistics Environment (운영 데이터를 활용한 제3자 물류 환경에서의 배송 트럭 무게 예측)

  • Yu-jin Lee;Kyung Min Choi;Song-eun Kim;Kyungsu Park;Seung Hwan Jung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.45 no.4
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    • pp.127-133
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    • 2022
  • Many manufacturers applying third party logistics (3PLs) have some challenges to increase their logistics efficiency. This study introduces an effort to estimate the weight of the delivery trucks provided by 3PL providers, which allows the manufacturer to package and load products in trailers in advance to reduce delivery time. The accuracy of the weigh estimation is more important due to the total weight regulation. This study uses not only the data from the company but also many general prediction variables such as weather, oil prices and population of destinations. In addition, operational statistics variables are developed to indicate the availabilities of the trucks in a specific weight category for each 3PL provider. The prediction model using XGBoost regressor and permutation feature importance method provides highly acceptable performance with MAPE of 2.785% and shows the effectiveness of the developed operational statistics variables.

A Study on the Development of Statistics in Korean Medicine (한의약 분야 통계 개선방안에 관한 연구)

  • Kim, Dae-Young;Oh, Yun-Jung;Mun, Hye-Sun;Han, Chang-Yon
    • Korean Journal of Oriental Medicine
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    • v.13 no.1 s.19
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    • pp.125-128
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    • 2007
  • Objective : This study aims to review the current status and problems of Korean Medicine and attempts to come up with the means to present a comprehensive and effective set of statistical data. Methods : We have analyzed the current statistics and tried to show how to establish an effective system to gather and organize statistics related to Korean Medicine, including national surveys by the Ministry of Health and Welfare or other relevant insititutions. Results : The existing statistics in Korean Medicine were established not as a result of national demand based on comprehensive analysis but due to the demand of the government ministries such as the Ministry of Health and Welfare or other relevant institutions. Thus, the statistics have been revealed to possess limitations such as a lack of systemization and consistency. In addition, the statistics analyze only the current industrial status of Korean Medicine, and as a result the information in unable to show systematic data for innovation, which is indispensable for the advancement and development of the Korean Medicine industry. Conclusion : To improve the statistical data in Korean Medicine, the statistics need to get over not only the level of management or regulation in Korean Medicine, but also the production of fragmentary statistics. It has to ultimately reflect the innovative activities in Korean Medicine nationally, and show what we need to advance and develop the industry.

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A Reliability Sampling Plan Based on Progressive Interval Censoring Under Pareto Distribution of Second Kind

  • Aslam, Muhammad;Huang, Syuan-Rong;Chi, Hyuck-Jun;Ahmad, Munir;Rasool, Mujahid
    • Industrial Engineering and Management Systems
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    • v.10 no.2
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    • pp.154-160
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    • 2011
  • In this paper, a reliability sampling plan under progressively type-1 interval censoring is proposed when the lifetime of products follows the Pareto distribution of second kind. We use the maximum likelihood estimator for the median life and its asymptotic distribution. The cost model is proposed and the design parameters are determined such that the given producer's and the consumer's risks are satisfied. Tables are given and the results are explained with examples.

New Attributes and Variables Control Charts under Repetitive Sampling

  • Aslam, Muhammad;Azam, Muhammad;Jun, Chi-Hyuck
    • Industrial Engineering and Management Systems
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    • v.13 no.1
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    • pp.101-106
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    • 2014
  • New control charts under repetitive sampling are proposed, which can be used for variables and attributes quality characteristics. The proposed control charts have inner and outer control limits so that repetitive sampling may be needed if the plotted statistic falls between the two limits. Particularly, the new np and variable X-bar control charts under repetitive sampling are considered in detail. The in-control and out-of-control average run lengths are analyzed according to various process shifts. The performance of the proposed control charts is compared with the existing np and the X-bar control charts in terms of the average run lengths.

A Control Chart for Gamma Distribution using Multiple Dependent State Sampling

  • Aslam, Muhammad;Arif, Osama-H.;Jun, Chi-Hyuck
    • Industrial Engineering and Management Systems
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    • v.16 no.1
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    • pp.109-117
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    • 2017
  • In this article, a control chart based on multiple dependent (or deferred) state sampling for the gamma distributed quality characteristic is proposed using the gamma to normal transformation. The proposed control chart has two pairs of control limits, which can be determined by considering the in-control average run length (ARL). The shift in the scale parameter of a gamma distribution is considered and the out-of-control ARL is evaluated. The performance of the proposed chart has been shown for different levels of the parameters of the proposed control chart. It is also shown that the proposed chart is better than the Shewhart chart in terms of ARLs. A case study with a real data has been included for the practical usage of the proposed scheme.