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Analysis of the Current State of Clothing Size System in Children's Clothing Online Shopping Malls (아동복 온라인쇼핑몰 업체의 의류 치수체계 현황분석)

  • Jeong, Hwa-Yeon
    • Journal of the Korea Fashion and Costume Design Association
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    • v.24 no.3
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    • pp.145-158
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    • 2022
  • To grasp the size system of children's clothing online shopping malls, basic size charts for clothing products from 14 shopping malls were collected, compared, and analyzed. Looking at the age range of the basic size chart for each company, the minimum age is 1 year old, the maximum age is 14-15 years old, and all companies included ages up to 7 years. In addition, as for the number of size designations, children's clothing companies used seven to eight designations, and there were six types of size designation methods. Next, looking at the height range for each size, even with the same size designation method, the height range differed depending on the company. Also, the KS size standard does not consider body weight, but many companies use weight as a reference body size. Compared with the child body size data of the 6th Korean Body Size Data, the height and weight range for each size provided by the company showed differences between companies. The results of this study can be used in the future as basic data when revising and supplementing the clothing sizes in children's clothing companies.

Risk Priority Analysis for Preventing Electrical Fires in Food Manufacturing Electrical Facilities (식료품제조업 전기설비의 전기화재방지를 위한 위험우선순위 분석)

  • Seung Ku Lee;Doo Hyun Kim;Sung Chul Kim
    • Journal of the Korean Society of Safety
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    • v.39 no.1
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    • pp.16-26
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    • 2024
  • This study aims to introduce a method for risk assessment analysis aimed at preventing electrical fires within the manufacturing industry. Initially, we provided a functional block diagram illustrating the electrical equipment employed in various processes within a food manufacturing company in Chungcheongbuk-do. Subsequently, we categorized the components of each machine outlined in the functional block diagram and determined the priority of failure for each classified component. Upon implementing the model in the frying process of the food manufacturing company, specific components, including MC, motor, mixer heater, electric wiring, and terminal block, exhibit a risk priority number (RPN) of 40 or higher. This identified an electrical issue within the manufacturing process and environment. Consequently, we propose a methodology to identify latent failure modes that could escalate into fires or systemic issues if not promptly addressed. It is essential to note that while the FMEA presented in this study may not immediately impact food manufacturing, its applicability extends to various workplaces.

Predictiong long-term workers in the company using regression

  • SON, Ho Min;SEO, Jung Hwa
    • Korean Journal of Artificial Intelligence
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    • v.10 no.1
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    • pp.15-19
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    • 2022
  • This study is to understand the relationship between turnover and various conditions. Turnover refers to workers moving from one company to another, which exists in various ways and forms. Currently, a large number of workers are considering many turnover rates to satisfy their income levels, distance between work and residence, and age. In addition, they consider changing jobs a lot depending on the type of work, the decision-making ability of workers, and the level of education. The company needs to accept the conditions required by workers so that competent workers can work for a long time and predict what measures should be taken to convert them into long-term workers. The study was conducted because it was necessary to predict what conditions workers must meet in order to become long-term workers by comparing various conditions and turnover using regression and decision trees. It used Microsoft Azure machines to produce results, and it found that among the various conditions, it looked for different items for long-term work. Various methods were attempted in conducting the research, and among them, suitable algorithms adopted algorithms that classify various kinds of algorithms and derive results, and among them, two decision tree algorithms were used to derive results.

What Determines the Performance of Multinational Corporation's Global R&D Activities?: Parent Company vs. Host Country vs. Home Country (다국적 기업의 글로벌 R&D 활동 성과 결정 요인에 관한 연구)

  • Cho, Jung-Eun;Kim, Dong-Hee;Kim, Soo-Wook
    • Korean Management Science Review
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    • v.27 no.2
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    • pp.1-20
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    • 2010
  • Many firms are trying to acquire innovative technologies and relative knowledge by offshoring R&D work. Although research to date has focused on the multinational corporations' motivations of R&D offshoring, such as cost reduction and market expansion, little is known about external or environmental factors influencing the performance of global R&D activities. We investigated the relationship between the offshore R&D performance and the technical capabilities of the parent company, the host country and the home country as enhancers from outside R&D facilities. The analysis uses European patent data and EU R&D scoreboard of 134 overseas R&D labs from 46 multinational corporations in 2005. Also, we calculated total patent number of each country for this. Results from path analysis supported our main hypothesis that the technological capabilities of the parent company and the host country positively affect the overseas R&D performances. By multi-group analysis, we also found that the relationships among the variables are different for each industry.

A Study on Redefining the Concept and Standard Range for Small Enterprise

  • Nam, Yoon-Hyung;Kim, Young-Ki;Kim, Seung-Hee
    • Journal of Distribution Science
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    • v.14 no.12
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    • pp.5-21
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    • 2016
  • Purpose - This study aims to clarify the meanings of small enterprise and modify criteria for explaining its range. Prioritizing the number of full time workers first and the sales next are proper as a new concept and range. Research design, data, and methodology - In research, 'small company' is a basic concept because the range of its standard is categorized as a 'small company' in the policy system of small & medium business. This study focuses on the solutions with ① evaluation on sales, ② standard for excluded ones ③ regulation for excluded business types in 'Act on Protection and Support for Small Enterprise'. Results - Clarifying the range of standard with maintaining the title is advisable. The scope should resist the current criteria or adopt a new standard which contains not only full time workers but also the sales. The new one may raise the policies' effectiveness because it can sort the 1% people of small enterprises. Conclusions - However, there should be a preventive system for sorting out the non-eligible ones not conformed to the CAP for small company. Therefore, it is desirable to prepare the system with 'unsuitable ones list' or regulate large income·inappropriate business types in 'Act on protection and support for small enterprise'.

A Case Study on the Paradigm Shift to Digital Logistics Platform : The Case of Maersk

  • So Hyung KIM
    • Journal of Distribution Science
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    • v.22 no.4
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    • pp.105-114
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    • 2024
  • Purpose : Due to the uncertainty of the global trade environment and the trade downturn, the shipping industry continues to face challenges. This study aims to investigate in-depth analysis of crisis overcoming strategies through case study of a company that is leader in the shipping and logistics industry. Research Desigh and Methodology : In order to conduct an in-depth analysis, a single case analysis was selected as a qualitative study. For this purpose, various secondary sources were used, and indirect interview data were also used. In this study, Maersk was selected because it has grown from a traditional shipping logistics company to a digital platform company. Results: Maersk has transformed itself into a comprehensive, digital logistics platform with several key strategies to respond to the long-term slump in the shipping industry. First, it leveraged Maersk's diversification and portfolio optimization strategy. Second, Maersk is transforming its logistics and transport processes through digitalization and technological innovation. Conclusion: Maersk, which is responding to the long-term recession facing the shipping industry, looked at how it has leveraged its strengths and explored new opportunities through a number of strategies and changes. This study provides insight into a digital logistics platform that will benefit the other companies as well.

Identifying Key Factors to Affect Bus Headway Deviation using Hierarchical Linear Model (Seoul Case Study) (HLM을 이용한 버스차두간격 편차에 미치는 요인분석 (서울시사례를 중심으로))

  • Lee, Ho-Sang;Kim, Do-Gyeong;Kim, Yeong-Chan;Hwang, Gyeong-Su
    • Journal of Korean Society of Transportation
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    • v.27 no.6
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    • pp.119-127
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    • 2009
  • It has been known that bus route and company related characteristics have influences on punctuality, but fewer research have been conducted. Independent variables used in this study were selected using correlation analysis, and OLS(Ordinary Least Square) and HLM(Hierarchical Linear Model) were employed to identify factors affecting bus punctuality(headway deviation). The results showed that ICC(intraclass Correlation Coefficient) is 0.10, indicating that hierarchical linear models are more adequate for these data because there is effective variation in the subjects between companies. Punctuality was found to be negatively associated with the number of vehicles, the number of persons per vehicle, and total travel time. On the other hand, average headway and company size have a positive relationship with punctuality. Therefore, the number of vehicles per route, average headway, and the number of vehicles managed by a company should be considered for more accurately evaluating the management of piunctuality.

Determinants of Hourly Earnings for Employed Women

  • Kim, Soo-Kon
    • Journal of Korean Institute of Industrial Engineers
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    • v.4 no.1
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    • pp.57-63
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    • 1978
  • Hourly earnings of the employed U. S. women are regressed upon a set of independent variables, separately for white and nonwhite women. In support of the human capitalist's point of view higher hourly earnings are positively associated with number of years of education completed, attainment of vocational training either at the company or/and non company training. In addition to education one's obtainments of certain occupational certificate and one's assignment of occupation in the order of the Duncan prestige index and years of work experience since leaving school are also significantly related to hourly earnings. Women workers employed at the government sector or employed in an industry where proportion of female is smaller than average earn more than those at private sector or at industries of high female composition.

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A Study on the Mitigation Schemes of Thermal Stratification Phenomenon in a Branch Piping (분기배관에서의 열성층 현상 완화방안에 관한 연구)

  • Park Man-Heung;Kim Kwang-Chu;Lee Seung-Chul
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.18 no.7
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    • pp.603-611
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    • 2006
  • A variety of schemes were sought for a mitigation of thermal stratification phenomenon in the branch piping of domestic nuclear power plant. Several mechanisms of thermal stratification occurrence were introduced in this paper. A number of factors were selected to find out the schemes for thermal stratification mitigation and the computational analysis were performed. The length of vertical branch piping, the diameter, the radius of curvature of the elbow, the direction of connection between main piping and branch piping, the slope of branch piping, the leakage flow rate, the installation of additional valve, the change of the 1st valve position and another branch piping connected with branch piping were mentioned as factors in this paper.

Comparative Analysis of Rework Policies in Multistage Production System (다단계 생산시스템에서 재작업정책의 비교분석)

  • Shin, Jaeseon;Han, Jooyun;Jeong, Bongju
    • Journal of Korean Institute of Industrial Engineers
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    • v.32 no.1
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    • pp.29-41
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    • 2006
  • As the quality and environmental problems become one of the most concerned issues of company, the rework policy needs to be efficiently designed and implemented to sustain the company's competitiveness. This paper examines three basic rework policies in multi-stage production systems and analyzes them in terms of costs of setup, production, inspection, and inventory. For analyzing the performance of the rework policies, we propose mathematical models which can compute total production cost and determine the optimal production batch size to minimize the total production cost. The rework policies are classified by the number and location of inspection stages. Using the mathematical models, we could analyze the performances of rework policies and suggest the optimal rework policy according to each manufacturing environment. The analyses show that the proposed model can be used to analytically evaluate and choose the rework policies.