• Journal of Korean Society of Occupational and Environmental Hygiene
• /
• v.16 no.2
• /
• pp.131-144
• /
• 2006

For the purpose of preparing the fundamental data on working environment of small scale manufacturing industries and preventing the occupational diseases of workers in these industries, authors surveyed the status of working environment to several chemical substances and physical agents by types of industry and types of process in the small scale manufacturing industries with less than five workers in Gimhae including 235 workplaces, 14 types of industry and 25 types of process from January 2002 to December 2004. This measurement method was work environment measurement method (established in Ministry of Labor, Korea), analytical methods (2nd Ed.) of Occupational Safety and Health Administration (OSHA) and manual of analytical methods (4th Ed.) of National Institute for Occupational Safety and Health (NIOSH) and collected data was analyzed by using SPSS 10.0 for windows, the results were as follows: 1. Noise generated in 14 types of industry and 22 types of process. an actual level of mean exposure (90.7 dB(A)) exceeded threshold limit values (TLVs) in manufacture of other transport equipment. An actual level of mean exposure (90.2dB) exceeded TLVs in the process of wire-drawing and 90.4dB in the process of wire-stranding. 2. Dusts of type I, II, III were generated in 9 types of industry and 8 types of process. Its mean concentration did not exceed TLVs. 3. Heavy metals (Pb, Mn, Cr, Ni) were generated in 7 types of industry and 7 types of process. Its mean concentration did not exceed TLVs. 4. 16 kinds of organic solvents were generated in 11 types of industry and 6 types of process. Its mean concentration did not exceed TLVs. As the above results, chemical substances and physical agents were generated in the several different types of industry and process of the manufacturing industry with less than five workers, and only mean level of noise was exceeded TLVs. In case of exceeding threshold limit values, improvement of work environment is actively needed, and work environment management should be performed continuously for prevention of an occupational diseases and work related diseases.

• Journal of the Korean Professional Engineers Association
• /
• v.32 no.6
• /
• pp.28-34
• /
• 1999

The trouble of business management of the manufacturing industrial companies in korea are constituted by that average 26∼29% of production management in the worst trouble of business management from 1973 to 1997. A movement for higher productivity and quality is very important of the basis for industry society prosperity. Continuous productivity improvement have a right understanding of a conception of productivity and its effect that are removed an act before the trouble of higher productivity enforcement. The higher productivity is used by way of a welfare society.

• Journal of Fashion Business
• /
• v.16 no.2
• /
• pp.12-26
• /
• 2012

Fashion industry characteristically goes through many steps to manufacture and to retail apparel products. Complex inter-industry channels with many intermediaries in fashion industry provoked many problems regarding recognizing customer's need, delivering time, flexibility, and inventory control. Therefore, the purposes of this study were to investigate the differences between apparel manufacturing and distribution process in SCM success factors and performances, and to investigate how SCM success factors affect on performances. Questionnaire was developed and distributed to apparel industry. The returned 116 questionnaires were analyzed by Cronbach's alpha for internal validity, factor analysis, t-test, and regression analysis with SPSS14.0. The results of this study were as follows: There was significant difference of SCM success factors between apparel manufacturing and distribution regarding process standardization and integration. There were significant differences of SCM performances such as reaction for customer, flexible management, cost minimization, and maximized asset utilization which distribution was higher than apparel manufacturing process. In apparel manufacturing, SC strategic relation, and integrative management influenced upon reaction for customer of SCM performances. SC integrative management influenced upon cost minimization. SC integrative management influenced upon maximized asset utilization. In distribution, SC strategic relation, and activated support for SCM influenced upon reaction for customer of SCM performances. SCM specialization, credible relationship among supply chains, activated support for SCM, and SC integrative management influenced upon cost minimization. SCM specialization, credible relationship among supply chains, and SC integrative management influenced upon maximized asset utilization.

• Korean Management Science Review
• /
• v.34 no.1
• /
• pp.15-25
• /
• 2017

We evaluated industry growth and employment effects of every possible pairs of 22 manufacturing sectors and 16 regions (i.e, 352 region-sectors). We used annual data of manufacturing sectors from 2008 to 2014 for the evaluation. The evaluation comprises of two steps; We first find several region-sectors that outperform others with respect to the effects of industry growth and employment, which are measured by location quotient analysis, shift share method, employment to GDP ratio and employment elasticity. In addition, cross-efficiency analysis follows to classify region-sector pairs into two sub-categories : efficient region-sectors that deserve to hold the current level of investments and inefficient region-sectors where we should consider efficiency improvements. To examine the efficiency, R&D investment, employment size, and capital investment were used as input factors and production volume, added value, changes in employment size, changes in annual salary per capita were used as output factors. For region-sector pairs that have outstanding growth and employment effects but are inefficient, we employed a CCR DEA model and analyzed how much to adjust the values of input and output factors to improve the efficiency scores. The analysis results showed that inefficiency is mainly due to several factors such as R&D investment, changes in employment size and changes in annual salary per capita.

• Annals of Occupational and Environmental Medicine
• /
• v.35
• /
• pp.12.1-12.12
• /
• 2023

Background: The purpose of this study is to investigate the relationship between job stress and impaired fasting glycemia (IFG) of male workers in a manufacturing industry. Methods: Data were collected from 5,886 male workers in a manufacturing industry who participated in the medical examination from June 19 to August 14, 2020 through self-reported questionnaires. The general characteristics of the subjects, shift work, high blood pressure, dyslipidemia, and job stress were included. Job stress was measured using the Korean Occupational Stress Scale (KOSS) consisting of 8 items and 43 questions. Multivariable logistic regression analysis was used to investigate the IFG association with job stress. Results: Among the various factors that can cause job stress, only high job demand was associated with a risk of IFG (odds ratio, 1.43; 95% confidence interval, 1.13-1.82) especially in non-shift worker. For all other factors, no statistically significant results were obtained. Conclusions: In this study of male workers engaged in the Korean steel manufacturing industry, the 'job demand' item among job stress of non-shift worker was related to IFG.

• Journal of the Korean Society of Safety
• /
• v.14 no.3
• /
• pp.181-192
• /
• 1999

Our government has been continuously making an effort to improve safety management and prevent accidents in small-to-medium sized enterprises, but the accidents are still happening. Since there hasn't been a study on the actual state of safety management for the munitions manufacturing industry so far, this paper aims to investigate and analyze the actual state of the munitions manufacturing companies in Kyung-In area and it also shows the countermeasures of improvement.

• IE interfaces
• /
• v.4 no.1
• /
• pp.35-46
• /
• 1991

The purpose of this paper is to present how to prepare pro forma manufacturing cost, and profit and loss statements using the historical data of the industry to which the project under consideration belong to. This approach is proposed because it is relatively simple compared with possible alternative methods. The approach proposed here can be used in countries other than Korean if relevant historical data is available. An example is shown.

• Journal of Korea Technology Innovation Society
• /
• v.19 no.3
• /
• pp.545-571
• /
• 2016

The development of ICT brings a big change in manufacturing industries, and new information technology such as IoT, AR, and big data was applied on manufacturing process. As a result, the concept of smart factory has been introduced as a new manufacturing paradigm. In fact advanced countries like USA, Germany, and Japan have actively introduced smart factory in their manufacturing industries such as electronic, automobile, machinery, to improve production efficiency and quality. The manufacturing environment has been changed into flexible system, so that smart factory will be leading future manufacturing industries. Thes changes have more severe influence on Korean manufacturing industries. Mny industrial companies, have a strong interest in smart factory and they, particularly big enterprises, have been adopting smart factory to increase their manufacturing efficiencies. However, Korean small and medium-sized enterprises (SMEs) have many financial and technological difficulties so that the diffusion of smart factory in Korean SMEs has not been satisfiable up to present. However, smart factory is very important for enhancing their competitiveness in global market. Therefore, this study aims at identifying the standardization strategy of smart factory in so-called Korean 'roots industry' by presuming that the standardization will activate the diffusion of smart factory among Korean SMEs. For this purpose, first, this study examines the competitiveness of SMEs, especially in 'roots industry' and identifies the necessity of diffusion of smart factory among those SMEs. Second, based on the active review on the existing literature, this study identifies four factor groups that would influence the adoption or diffusion of standardized smart factory. They are technological, organizational, industrial and policy factors. Third, using those four factors, this study made two comprehensive case analyses on the adoption and diffusion of smart factory. These two companies belong to molding sector which is one of the important six sectors in 'root industry'. Finally, based on the theoretical and empirical analyse, this study suggests four strategies for activating the standardization of smart factory; international standardization, government-leading standardization, firm-leading standardization, and non-standardization.

• Journal of the Korean Society for Precision Engineering
• /
• v.34 no.1
• /
• pp.19-22
• /
• 2017

This paper describes the efficient equipment maintenance that can offer the exact time for repair and change of component in root industry. A conventional method offered the fixed time for repair and change of component because the method is based on early guarantee specification of the component. However the operating condition of manufacturing field is often under worse condition than early guarantee condition for high productivity. So, most components can't use until early guarantee time due to the operation of various different condition. Therefore we suggest the useful method for efficient equipment-maintenance by manufacturing-field analysis and feedback database. For this, the classification of root industry and related equipment is performed and then the detail classification of the process and component for equipment maintenance. And the monitoring module is also designed to gather data for feedback process and the environment is basically implemented for aging and reliability test.

• Journal of Korean Society for Quality Management
• /
• v.49 no.4
• /
• pp.641-654
• /
• 2021

Purpose: One distinctive trend in the recent industrial and technological development has been the change in the structures of industries brought by information technology, boosting the productivity of different sectors. This relation has clearly opened a path for the fourth industrial revolution to reform numerous industrial sectors, including i-fashion sectors. Therefore, in this research, we would like to present the direction of the direction policy for the fusion of the manufacturing industry and the service industry of i-fashion. Methods: In this study, an empirical time series data analysis of machinery investment efficiency and capital investment efficiency of 43 industrial sectors in manufacturing and service was conducted to show their potential and ongoing convergence toward i-fashion. Results: Most impressive as a finding in this research was that those sectors previously underinvested due to a combination of technological and financial reasons found an exit for growth. In textile and apparel sectors, that could be the i-fashion. Conclusion: One strong implication of this study is that sectoral level convergence based on technology and industry is occurring, and i-fashion is one of the industrial convergence case to be observed.