• Title, Summary, Keyword: manufacturing industry

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Study on the Coke Oven Emissions in Cokes Using and Manufacturing Workplaces (코크스 제조 및 사용 공정에서의 코크스오븐 배출물질 연구)

  • Lee, Jong-chun;Ahn, Kyu-Dong;Cho, Kwang-Sung;Lee, Byung-Kook
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.11 no.2
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    • pp.145-152
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    • 2001
  • This study was performed to evaluate the coke oven emissions (COE) and polynuclear aromatic hydrocarbon levels in coke manu-facturing industry, secondary lead smelting industry and glass bottle manufacturing industry. 1. There were no significant difference between the means of personal samples and area samples by the types of industry(p>0.05). The levels of airborne total particulates of the secondary lead smelting industry was the highest($2.30mg/m^3$), and those of the coke manu-facturing industry and glass bottle manu facturing industry were $1.95mg/m^3$ and $1.37mg/m^3$. The concentration of COE was the highest in the glass bottle manufacturing industry($0.79mg/m^3$), and in order of $0.19mg/m^3$ in the coke manufacturing industry and $0.06mg/m^3$ in the secondary lead smelting industry. COE/total particulates(%) was highest in the glass bottle manufacturing industry(58.1%) and in order of 10.3% in the coke manufacturing industry and 3.1% in secondary lead smelting industry. There were significant differences in the total particle concentration and COE by the types of industry(p<0.05). 2. The levels of airborne total particulates was the highest at the smelting process of secondary lead smelting industry($2.30{\pm}0.72mg/m^3$), and the lowest at the smelting process of glass bottle manufacturing industry ($0.99{\pm}1.22mg/m^3$) Concentration of COE was the highest at the casting process of glass bottle manufacturing industry ($1.09{\pm}1.15mg/m^3$), the lowest at the smelting process of secondary lead smelting industry ($0.06{\pm}0.03mg/m^3$). The COE/total particulates(%) was the highest at the casting process of glass bottle manufacturing industry($65.9{\pm}20.5%$), and the lowest at the smelting process of secondary lead smelting indusry($3.1{\pm}2.7%$). 3. There were positive correlations between level of The airborne total particulates and concentration of COE in coke manufacturing industry and glass bottle manufacturing industry (p<0.05), but negative correlation in secondary lead smelting industry. 4. The numbers of case and rates that over the Threshold Limit Values(TLVs) were 24 (77.4%)cases in glass bottle manufacture, 14(23.7%) cases in the coke manufacturing industry and no one case in secondary lead smelting industry. Total numbers of case and rates that over TLVs were 38( 35.5%) cases. 5. The limit of detection(LOD) for PAH was $10{\mu}g/ml$ in standard sample. All PAH levels of the cokes manufacturing industry and the secondary lead smelting industry and the glass bottle manufacturing industry were trace or not to detect.

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A Research of Analyze Chart for Electronics Manufacturing Service Industries (전자 제조서비스 위탁전문업체의 평가지표 개발)

  • 이용훈;최창호
    • Journal of the Korea Safety Management and Science
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    • v.4 no.3
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    • pp.157-166
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    • 2002
  • With the introduction of the Internet in the 21st century, the manufacturing-oriented industry, so called EMS(Electronic Manufacturing Service) specialized in manufacturing only, is rapidly expanding. From the beginning of the year 2000, the EMS industry in advanced countries around the world, whereas a strong Motivation System in which a manufacturing related staff plays a main role, has began providing the source of competitiveness. And this industry is regarded as a core of management linking productivity directly to management performance. Thus, all the manufacturing sectors including not only the electronic industry but also mechanical industry in the future are observed to be divided into two industries; a Maker strategy industry focused on marketing and development, and a EMS industry specialized in manufacturing. Therefore, we need to evaluate whether the industries should continue to support the Manufacturers Strategy or attempt to change into the EMS industry However, with no approved evaluation standard on hand as to an actual EMS industry, in this thesis, we develop the EM(EMS-Maker) Chart in order to analyze both the Manufacturer Strategy and the EMS industries.

Analysis of Current National Policy Trends for Enhancing Manufacturing Industry (국가별 제조업 진흥전략 현황 분석)

  • Lee, Hyoung-wook;Bae, SungMin
    • Journal of Institute of Convergence Technology
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    • v.5 no.1
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    • pp.33-36
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    • 2015
  • In recent years, developed and developing country such as U.S., Japan, and China push forward to enhance their manufacturing industry through national policies such as advanced manufacturing(U.S.), Industrie 4.0 (Germany), and Made in China 2025. Also, in Korea, Ministry of Trade, Industry, and Energy(MOTIE) claimed Manufacturing3.0 for encouraging domestic manufacturing industry. Manufacturing industry plays an important role in encouraging economy and employment. In this paper, we survey, analyze and summarize the current national policy for enhancing manufacturing industry.

An Analysis on the efficiency of Small Manufacturing Industry - before and after IMF - (IMF전후의 중소제조업의 경영효율성 분석)

  • Lee, Cham-Soo
    • Korean Business Review
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    • v.14
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    • pp.169-187
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    • 2001
  • In the recent efficiency study became accomplished generally a listed company, the efficiency study of small manufacturing industry is deficient. The purpose of this study analysis efficiency of small manufacturing industry by using the DEA model. DEA model is non-financial approach method to measure relative efficiency by input factors and output. The panel data from 1996 to 1999 are used for the analysis. The relative mean-efficiency can be summarized as follows. The wholesale trade and commission trade manufacturing industry 68.99%, communication equipment manufacturing industry 60.58%, food products and beverages manufacturing industry 91.05%, motor vehicles, trailers and semitrailers manufacturing industry 85.80%, basic metals manufacturing industry 88.96%, pulp, paper and paper products manufacturing industry 96.53%, chemical and chemical products manufacturing industry appeared with 78.67%. The results is expected to provide the empirical evidence useful to enhancing the competitiveness of manufacturing industry in korea.

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A study on labor management of pump manufacturing industry (펌프제조업체 인력실태에 관한 연구)

  • Kim, Bong-Sun;Lee, Seog-Hwan;Lee, Seung-Moo
    • Journal of the Korea Safety Management and Science
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    • v.9 no.3
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    • pp.173-182
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    • 2007
  • We suggested the policy of labor management in pump manufacturing industry through survey in order to improve competitive ability. In pump manufacturing industry, since it is difficult to find sufficient worker having technical skill and knowledge concerning pump manufacturing technology, therefore the industry must cultivate the employee systematically. We reached the result, production engineer and R&D engineer play an important role to improve competitive ability in pump manufacturing industry. Though they need technical education, the effect of education was not satisfactory. To solve this problem, suitable technical education course must be devised. Marketing reinforcement is a important factor in pump manufacturing industry. To achieve marketing reinforcement, each company must develop their present technology further and raise marketing ability to expand internal and external business. It is also consulted to use IT technology.

A study on exposure of organic solvents in manufacturing industry (제조업 산업장의 유기용제 노출에 관한 연구)

  • Moon, Deog-Hwan;Kim, Jeong-Ha;Kim, Pil-Ja;Park, Myung-Hee;Hwang, Yong-sik;Lee, Chae-Kwan;Lee, Chang-Hee
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.11 no.3
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    • pp.219-228
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    • 2001
  • Objective : For the purpose of preparing the fundamental data and health promotion and control program on organic solvents in air of manufacturing industry. Methods : The author surveyed number of organic solvent components which was used in working site and also determined the organic solvents concentration in air of 927 manufacturing industries and 1,267 working process with gas chromatography(NIOSH manual) for five years from 1995 to 1999. Results : Mean number of solvents components by type of industry, working process was number of 12. There were exceeded to TLV of 1,2-dichloroethane in textile manufacturing industry N,N-dimethyl furan in tanning and dressing of leather ; luggage, handbags, saddlery, harness and footwear manufacturing industry and chemical and chemical product manufacturing industry by type of industry. There were exceeded to TLV of 1,2-dichloroethane in handwriting and drawing process, cellosolve in adhesive spreading process, N,N-dimethly furan in production of solvent process and adhesion process by working process Total exceeded rate to threshold limit values of organic solvents mixture were 12.9% for EI(Exposure index) and 10.0% for Em(Estimation of mixture) by type of industry, 11.3% for EI and 8.2% for Em by type of working process. The highest exceed rate was 36.7% for EI in tanning and dressing of leather ; luggage handbags, saddlery, harness and footwear manufacturing industry and 29.0% for Em in textile manufacturing industry. The highest exceeded rate was 23.1% for EI and 12.5% for Em in adhesive spreading process by working process. Mean values of total subjects by type of industry and type of working process were $0.7{\pm}1.8$ for EI and $0.7{\pm}1.7$ for Em respectively. Conclusions : As above results, the author suggest that it makes the environmental control program on 1.2-dichloroethane, N,N-dimethyl furan, cellosolve by kind of organic solvent and on textile manufacturing industry, tanning and dressing of leather ; luggage, handbags, saddlery harness and footwear manufacturing industry by type of industry, and on handwriting, drawing process and adhesive spreading process and adhesion process by type of working process.

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The Economic Inducement Effects of Aviation Industry using Input-Output Model (투입산출모형을 통한 항공산업의 경제적 파급효과 분석)

  • Lee, Young-Soo;Yeo, Kyu-Hun
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.16 no.3
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    • pp.50-57
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    • 2008
  • This paper analyse the economic inducement effects of aviation industry using Input-Output Model. For measuring economic inducement effects of aviation industry on korean economy, this paper divides air transport industry as two - manufacturing industry and service industry. we also use Input-Output Table of year 1990 through 2003 from Bank of Korea. Empirical results tells that aviation manufacturing industry have high product inducement effects to national economy although its low value-added coefficient such as 0.486 for aviation manufacturing industry and 0.447 for aviation service industry. public R&D doesn't have much effect to each of aviation industries.

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Tire Industry and Its Manufacturing Configuration

  • Lee, Young-Sik;Cpim;Lee, Jin-Kyu
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • pp.135-138
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    • 2000
  • This paper is intended to propose what manufacturing configuration (manufacturing planning and shop floor control) is suitable for the tire industry. Basically tire-manufacturing process is mixed-products, parallel-disconnected-flow-shop. Both throughput time and cycle tine are very short, the variety of tires is very high, the setup time is long, shop floor data reporting requirements is high, and there are many equipments and people working. And with no exception, tire industry also now confronts increasing requirements of delivery conformance with the above peculiar characteristics of tire manufacturing and changing market environments, this paper suggests, weekly master scheduling with no MRP is desirable and traditional kanban is right selection for shop floor control/scheduling. This paper describes why this configuration should be, using the manufacturing engineering principles and some new insights like four primitives of parallel flow shop. Generally known that shop with high parallel-product-mix and long setup time isn't good candidate for kanban. The four primitives of parallel flow shop explain why kanban is also useful scheduling technique in that environment.

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A Study on the Characteristic of Airborne Lead Particle Size by Industry (업종별 공기중 납입자의 입경별 분포특성에 관한 조사 연구)

  • Park, Dong Wook;Paik, Nam Won
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.5 no.2
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    • pp.160-171
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    • 1995
  • The size characteristics of lead particle which is one of the important factors associated with absorption of lead were ignored in establishing lead standard. This study was conducted to investigate distribution of lead particles by operation of industry. Aerodynamic Mass Median Diameters (MMD) of airborne lead particles in the battery and litharge manufacturing industry were $14.1{\mu}m$ and $15.1{\mu}m$, respectively. There was no significant difference between those two values(p>0.05). However, the diameters in radiator manufacturing and secondary smelting industry were $1.3{\mu}m$, $4.9{\mu}m$, respectively. Those were significantly smaller than the particle sizes in other industries(p<0.05). Total lead concentrations in the secondary smelting industry were higher than those in the battery and litharge manufacturing industry. Total lead concentrations in other industries except radiator manufacturing industry exceeded the standard of $50{\mu}g/m^3$. Only radiator manufacturing industry indicated lead concentrations significantly lower than those in other industries(p<0.05). Concentrations of lead particles smaller than $1{\mu}m$ defined as respirable fraction by OSHA's CPA model assumption were $72.4{\mu}g/m^3$ in the secondary smelting industry, exceeding $50{\mu}g/m^3$. The relationship of concentrations between total lead and lead of particles smaller than $1{\mu}m$ was log Y = 0.46 logX + 0.06(n=119, $r^2=0.44$, p=0.0001). Relationship of respirable lead concentrations between OSHA and ACGIH was significantly detected in the litharge and battery manufacturing industry(p=0.0001), but was not significant in the radiator(p=0.2720) and secondary smelting manufacturing industry(p=0.2394). As MMDs of lead particles generated in industry were small, difference of respirable lead concentration between OSHA and ACGIH became smaller. There was a significant difference between concentrations respirable lead defined by two organizations such as OSHA and ACGIH in the battery and litharge manufacturing industry. Average concentration of respirable lead by ACGIH definition was 43.3 % of total lead in secondary smelting and 48.9 % in radiator manufacturing industry, and lower fractions were indicated in battery and litharge manufacturing industry. Relationships of total lead with IPM, TPM, and RPM were significant respectively(p=0.0001) and lead concentrations by particle size could be estimated using this relationship. Linear regression equation between total lead concentration(X) and ACGIH-RPM concentration(Y) was log Y = 0.76 log X - 0.40($r^2=0.89$, p=0.0001).

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A Decision Tree Approach for Identifying Defective Products in the Manufacturing Process

  • Choi, Sungsu;Battulga, Lkhagvadorj;Nasridinov, Aziz;Yoo, Kwan-Hee
    • International Journal of Contents
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    • v.13 no.2
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    • pp.57-65
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    • 2017
  • Recently, due to the significance of Industry 4.0, the manufacturing industry is developing globally. Conventionally, the manufacturing industry generates a large volume of data that is often related to process, line and products. In this paper, we analyzed causes of defective products in the manufacturing process using the decision tree technique, that is a well-known technique used in data mining. We used data collected from the domestic manufacturing industry that includes Manufacturing Execution System (MES), Point of Production (POP), equipment data accumulated directly in equipment, in-process/external air-conditioning sensors and static electricity. We propose to implement a model using C4.5 decision tree algorithm. Specifically, the proposed decision tree model is modeled based on components of a specific part. We propose to identify the state of products, where the defect occurred and compare it with the generated decision tree model to determine the cause of the defect.