• Title/Summary/Keyword: industrial statistics

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The Gender Sensitive Analysis of Occupational Injuries and Illnesses of Employees (임금근로자의 산업재해에 대한 성인지적 분석)

  • Rhee, K.Y.;Kim, Young Sun;Kim, K.S.;Park, J.S.;Seo, D.U.;Kim, H.M.
    • Journal of the Korean Society of Safety
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    • v.29 no.6
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    • pp.158-165
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    • 2014
  • The statistics of occupational injuries and illnesses is one of the most important indicators of worker's safety and health in the field of occupational safety and health. The conventional statistics was produced without consideration of gender difference. This study was planned to investigate the difference of occupational injuries and illnesses by gender because that recently female workers was increased through the change of industrial structure such as from manufacturing dominated to service dominated structure. Statistics of occupational injuries and illnesses collected by workmen's compensation insurance system that have no information about gender composition of population. Economically active population survey was used to calculated the rate of occupational injuries and illnesses by gender. The distribution of estimated rate of occupational injuries and illnesses by industry, occupation and the type of accident were different between male and female employees, but those by the size of enterprise, age of the injured, the duration of the first recuperation, and job tenure were similar between male and female employees. This study has shown that gender sensitive approach may be applied to policy of occupational safety and health because that gender neutral perspective may not discover the fact of gender specific problems.

Application of SOM for the Detection of Spatial Distribution considering the Analysis of Basic Statistics for Water Quality and Runoff Data (수질 및 유량자료의 기초통계량 분석에 따른 공간분포 파악을 위한 SOM의 적용)

  • Jin, Young-Hoon;Kim, Yong-Gu;Roh, Kyong-Bum;Park, Sung-Chun
    • Journal of Korean Society on Water Environment
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    • v.25 no.5
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    • pp.735-741
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    • 2009
  • In order to support the basic information for planning and performing the environment management such as Total Maximum Daily Loads (TMDLs), it is highly recommended to understand the spatial distribution of water quality and runoff data in the unit watersheds. Therefore, in the present study, we applied Self-Organizing Map (SOM) to detect the characteristics of spatial distribution of Biological Oxygen Demand (BOD) concentration and runoff data which have been measured in the Yeongsan, Seomjin, and Tamjin River basins. For the purpose, the input dataset for SOM was constructed with the mean, standard deviation, skewness, and kurtosis values of the respective data measured from the stations of 22-subbasins in the rivers. The results showed that the $4{\times}4$ array structure of SOM was selected by the trial and error method and the best performance was revealed when it classified the stations into three clusters according to the basic statistics. The cluster-1 and 2 were classified primarily by the skewness and kurtosis of runoff data and the cluster-3 including the basic statistics of YB_B, YB_C, and YB_D stations was clearly decomposed by the mean value of BOD concentration showing the worst condition of water quality among the three clusters. Consequently, the methodology based on the SOM proposed in the present study can be considered that it is highly applicable to detect the spatial distribution of BOD concentration and runoff data and it can be used effectively for the further utilization using different water quality items as a data analysis tool.

Probability and statistics in public secondary school teacher employment exam (확률 및 통계와 교원임용시험)

  • Oh, Kwangsik
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.6
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    • pp.1539-1545
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    • 2017
  • In this paper, we analyze and discuss the trend of the probability and statistics problems that have been made in the public secondary school teacher employment exam for mathematics teachers. In order to properly teach the national mathematics curriculum in 2015 in terms of content and function, we investigate the probability and statistics contents that a mathematics teachers should know. We also analyze the contents and trends of the items that have been submitted for 15 years in public secondary school teacher employment exam, and discuss the contents, scope, level and direction of the future contents. In conclusion, considering the significance of the Big Data in the 4th industrial revolution, the problems of statistical thinking of data and probability, exploratory data analysis, sample survey, and statistical inference are needed more.

A Case Study on the Estimation of the Risk based on Statistics (산업재해통계기반 Risk 산정에 관한 연구)

  • Woo, Jong-Gwon;Lee, Mi-Jeong;Seol, Mun-Su;Baek, Jong-Bae
    • Journal of the Korean Society of Safety
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    • v.36 no.4
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    • pp.80-87
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    • 2021
  • Risk assessment techniques are processes used to evaluate hazardous risk factors in construction sites, facilities, raw materials, machinery, and equipment, and to estimate the size of risk that could lead to injury or disease, and establish countermeasures. The most important thing in assessing risk is calculating the size of the risk. If the size of the risk cannot be calculated objectively and quantitatively, all members who participated in the evaluation would passively engage in establishing and implementing appropriate measures. Therefore, this study focused on predicting accidents that are expected to occur in the future based on past occupational accident statistics, and quantifying the size of the risk in an overview. The technique employed in this study differs from other risk assessment techniques in that the subjective elements of evaluators were excluded as much as possible by utilizing past occupational accident statistics. This study aims to calculate the size of the risk, regardless of evaluators, such as a manager, supervisor, safety manager, or employee. The size of the risk is the combination of the likelihood and severity of an accident. In this study, the likelihood of an accident was evaluated using the theory of Bud Accident Chainability, and the severity of an accident was calculated using the occupational accident statistics over the past five years according to the accident classification by the International Labor Organization.

A Study on Status of Landscape Architecture Industry with National Statistics (국가통계자료를 활용한 조경산업 현황 연구)

  • Choi, Ja-Ho;Yoon, Young-Kwan;Koo, Bon-Hak
    • Journal of the Korean Institute of Landscape Architecture
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    • v.50 no.5
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    • pp.40-53
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    • 2022
  • This study carried out to provide the methodology and basic status material of using Korean national statistics needed to find the actual state of the landscape architecture industry. The landscape architecture industry was classified into 'Design', 'Construction Management', 'construction', 'Maintenance & Management', 'Materials', 'Research', 'Education', and 'Administration' areas. In each field, business types were systemized and associated in accordance with Korean standard industrial classification and legislations pertinent to construction. Among them, the business types directly defined in the construction related legislations under the Ministry of Land, Infrastructure and Transport were focused on, and the establishment, association, integration, distribution, duplication, and omission of national statistics were analyzed. As a result, the business types of statistical analysis were selected. In order for commonality of statistical items and minimized error of interpretation, semantic analysis was conducted. Finally, the number of registered business types, the number of workers, and sales were selected. Based on them, the analysis framework applicable to fundamental analysis and evaluation of the actual state of the industry was proposed. Actual national statical data were applied for analysis and evaluation. In 2019, the number of registered business types related to the landscape architecture industry was 12,160, the number of workers by business type was 106,296, and the sales by business type were 8,308.5 billion KRW. The number of registered business types and the number of workers had been on the rise from 2017, whereas the sales had been on the decrease. It is required to come up with a plan for industrial development. This study was conducted with the national statistics established by multiple public institutions, so that there are limitations in securing consistency and reliability. Therefore, it is necessary to establish systematic and consistent national statistics in accordance with 「Landscaping Promotion Act」. In the future, it will planned to research application and development plans of national statistics according to subjects including park and green.

Outline of Korean Packaging Industry (한국 패키징 산업 현황)

  • Kang, Dong Ho;Hwang, Sung Wook;Shim, Jin Kie
    • KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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    • v.22 no.3
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    • pp.135-142
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    • 2016
  • This paper describes an overview of the packaging industry in Korea. Packaging plays an important role to connect the dot between primary and secondary industry. Moreover, it performs the visual merchandising of product, resulting in synergetic effect with quality of merchandise. As more convergence of primary and secondary industry accelerates, packaging industry became more competitive as well as critical area. Korea Packaging Center (KOPACK) in Korea Institute of Industrial Technology (KITECH) has conducted the national market survey of packaging industry since 2010, biannually. Firstly, Korea packaging industry was categorized. For defining the Korea packaging industry, Korea Standard Industry Code (KSIC) is used to divide the group into wood, paper, plastic, glass, metal and packaging machinery. Based on these categories, the market size was estimated with survey of 2,180 packaging companies. In this study, the results of this survey are summarized, and the key trends of each category are described.

Research on the Operational Performance of ISO 14000-Certified Taiwan's Manufacturers

  • Chung, Yi-Chan;Tsai, Chih-Hung;Hsu, Yau-Wen
    • International Journal of Quality Innovation
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    • v.6 no.1
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    • pp.24-34
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    • 2005
  • This research topic evaluates the effectiveness and importance of environmental protection in the 21st century in light of the increasing demand on the earth's natural resources and the pressures on economic and industrial development to provide dynamic power. As the world and our fellow citizens become more conscious of environmental protection, companies are under greater pressure whilst pursuing economic growth. Therefore, domestic manufacturers have been devoting efforts to promote environmental management. This research conducts survey using questionnaires on the operational performance of the manufacturers who have ISO 14000 series accreditation and certification. The survey considers five dimensions/functions within a manufacturer, financial management, human resources management, production management, and marketing management. A total of 35 indices are used for analysis of the effects that the location, history, industry, number of employees, amount of capital, and revenue may have on the performance. This research targets the manufacturers approved of ISO 14000 series certification by Environment Administration Association. The statistical methods deployed are descriptive statistics, T-test, and single factor analysis of variance used for analysis. The conclusions reveal that a certain level of performance has been achieved in every dimension. After T-test, all the indices have reached a significant level. The indications are that ISO 14001 benefits all manufacturers the level of benefits however varies from company to company.

A Six Sigma Model for Small and Medium SizedCompanies and Case Studies (중소기업을 위한 6시그마 모형 및 사례 연구)

  • Hwang, Young Je;Kwon, Hyuck Moo;Hong, Sung Hoon;Lee, Min Koo
    • Journal of Korean Institute of Industrial Engineers
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    • v.32 no.4
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    • pp.291-297
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    • 2006
  • Since the six sigma strategy was first introduced to Korean enterprises in 1997, it has been taken as an important business strategy to strengthen the competitiveness of major Korean companies under the global competitive environment. These major companies also demand their suppliers to implement six sigma. But small and medium sized companies have several barriers to overcome for successful implementation of six sigma. First, the financial status is not so sound to support initial expenses for launching six sigma. Second, physical and human resources are not sufficient for driving six sigma. And finally, the infrastructure is not well established to manage and support the six sigma program. In this paper, we suggest a method to overcome these barriers and propose a model for establishing six sigma in a small and medium sized company. We also provide some practical case studies.

An Expected Loss Model for FMEA under Periodic Monitoring of Failure Causes (FMEA에서 주기적인 고장원인 감시 하의 기대손실 모형)

  • Kwon, Hyuck Moo;Hong, Sung-Hoon;Lee, Min Koo
    • Journal of Korean Institute of Industrial Engineers
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    • v.39 no.2
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    • pp.143-148
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    • 2013
  • In FMEA, occurrence and detectability are not related to only failure modes itself but also their causes. It is assumed that any failure occurs after at least one cause corresponding to failure occurs in advance. Occurrence of the failure mode is described by occurrence time of its cause and elapsed time to the actual failure. Under the periodic monitoring plan, the monitoring interval is another factor to determine the detectability and occurrence of each failure mode. When a failure cause occurs, the failure does not occur if the cause is identified and remedied before it actually occurs. Under this situation, we construct an economic model for prioritizing failure modes. The loss function is based on the unfulfilled mission period. We also provide an optimal monitoring plan with an illustrative example.

The Effects of industrial workers' food choice attribute on sugar intake pattern and job satisfaction with Structural Equcation Model

  • Park, Young Il;Joo, Nami
    • Nutrition Research and Practice
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    • v.10 no.4
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    • pp.464-470
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    • 2016
  • BACKGROUND/OBJECTIVES: This research analyzes the effects of the food choices of industrial workers according to their sugar intake pattern on their job satisfaction through the construction of a model on the relationship between sugar intake pattern and job satisfaction. SUBJECTS/METHODS: Surveys were collected from May to July 2015. A statistical analysis of the 775 surveys from Kyungsangnam-do was conducted using SPSS13.0 for Windows and SEM was performed using the AMOS 5.0 statistics package. RESULTS: The reliability of the data was confirmed by an exploratory factor analysis through a Cronbach's alpha coefficient, and the measurement model was proven to be appropriate by a confirmatory factor analysis in conjunction with AMOS. The results of factor analysis on food choice, sugar intake pattern and job satisfaction were categorized into five categories. The reliability of these findings was supported by a Cronbach's alpha coefficient of 0.6 and higher for all factors except confection (0.516) and dairy products (0.570). The multicollinearity results did not indicate a problem between the variables since the highest correlation coefficient was 0.494 (P < 0.01). In an attempt to study the sugar intake pattern in accordance with the food choices and job satisfaction of industrial workers, a structural equation model was constructed and analyzed. CONCLUSIONS: All tests confirmed that the model satisfied the recommended levels for the goodness of fit index, and thus, the overall research model was proven to be appropriate.