• Title/Summary/Keyword: Smes

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Design and Implementation of Integrated Production System for Large Aviation Parts (데이터 중심 통합생산시스템 설계 및 구현: 대형항공부품가공 사례)

  • Bae, Sungmoon;Bae, Hyojin;Hong, Kum Suk;Park, Chulsoon
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.4
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    • pp.208-219
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    • 2021
  • In the era of the 4th industrial revolution driven by the convergence of ICT(information and communication technology) and manufacturing, research on smart factories is being actively conducted. In particular, the manufacturing industry prefers smart factories that autonomously connect and analyze data. For the efficient implementation of smart factories, it is essential to have an integrated production system that vertically integrates separately operated production equipment and heterogeneous S/W systems such as ERP, MES. In addition, it is necessary to double-verify production data by using automatic data collection technology so that the production process can be traced transparently. In this study, we want to show a case of data-centered integration of a large aircraft parts processing factory that requires high precision, takes a long time, and has the characteristics of processing large raw materials. For this, the components of the data-oriented integrated production system were identified and the connection structure between them was explained. And we would like to share the experience gained through the design and implementation case. The integrated production system proposed in this study integrates internal components based on data, which is expected to serve as a basis for SMEs to develop into an advanced stage, and traces materials with RFID technology.

SME Bakery's Marketing Strategies Based on Apriori Algorithm (Apriori 알고리즘 기반의 중소 베이커리 기업의 대응 전략)

  • Kim, Do Hoon;Lee, Hyeon June;Lee, Bong Gyou
    • Journal of Convergence for Information Technology
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    • v.12 no.4
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    • pp.328-337
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    • 2022
  • The importance of online marketing is emerging due to the prevalence of COVID-19. In order to respond to the changing business environment, we have collected ten years of sales data of SME bakery company that have experienced a decrease in sales due to the COVID-19. As a result of the analysis, we found that switching from offline markets to omnichannel B2B and B2C markets and taking 'small quantity batch production' to 'mass production in a small variety can improve management. This study presented online and offline marketing strategies through data analysis of small and medium-sized bakery companies, which have relatively insufficient digital capabilities compared to large companies, and could be a guideline for many SMEs.

A Study on Data Compliance Measures of Digital Healthcare Service - Focusing on Personal Information Lifecycle (디지털 헬스케어 서비스의 데이터 컴플라이언스 방안에 관한 연구 - 개인정보 라이프사이클을 중심으로)

  • Jung, Jaeeun;Yang, Jinhong
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.15 no.2
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    • pp.134-143
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    • 2022
  • 'Data' is the key component that leads Digital Healthcare. Most of the Healthcare Data is personal information of data subject and includes Sensitive Information. It is very important for companies to use data lawfully and safely during the lifecycle of data collection, use, provision, and destruction. However, small and medium-sized enterprises(SMEs), ventures, and startups, which account for 78% of the Healthcare Services Industry, have had difficulties in performing tasks related to personal information protection. The personal Information Protection Act's requirements depending on the purpose of using Personal Information are different. Also, the requirements for each personal information lifecycle are varied. Therefore, this study suggests six purposes for companies to use healthcare data. It examines the considerations during the lifecycle in which personal information is collected to be destroyed.

Analysis of the Influence of Young Job Seekers' SME Employer Brand Awareness on Their Intention to Work (청년구직자의 중소기업 고용주 브랜드 인식이 취업의향에 미치는 영향 분석)

  • Lee, Junghwan;Kim, Dongwook
    • The Journal of the Korea Contents Association
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    • v.22 no.4
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    • pp.292-300
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    • 2022
  • This study aims to improve the situation in which accurate job information for small and medium-sized enterprises is not known and it is difficult to identify jobs that meet the preference criteria from the perspective of the 'employer brand'. To this end, through a hierarchical regression analysis of 700 young job seekers, the factors affecting the intention to get a job centered on five value factors (Interest Value, Social Value, Economic Value, Development Value and Application Value) were identified by reflecting the brand categorization theory. As a result of the analysis, it was confirmed that young job seekers are more interested in work culture, environment, and utilization of their majors, which directly affect job seekers, rather than characteristics of companies such as talent development, products, services, and management, and are influenced by their intention to work. This suggests that the job policy for SMEs needs to be changed from the existing quantitative support-centered to a qualitative improvement that strengthens the use of platform-centered job information.

An Analysis of Policy and Technology Status of Smart City for Revitalization of Smart City Industry (스마트도시 산업 활성화를 위한 스마트도시 정책 및 기술현황 분석에 관한 연구)

  • Kim, Dae Ill;Park, Sung Chan;Yeom, Chun Ho
    • Journal of Information Technology Services
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    • v.21 no.1
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    • pp.127-144
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    • 2022
  • Recently, Korea is promoting cooperation with various countries, centering on ASEAN countries, with the aim of exporting Korean smart cities for the globalization of smart cities. The purpose of this study is to select excellent smart city technologies through analysis of smart city technologies owned by domestic companies and company status, and to prepare a plan for revitalization of companies with smart city technologies. Through prior research, the implications were derived through research on the existing smart city. Next, established a smart city policy analysis and smart city technology classification criteria through Korea and Overseas smart city policy and Korea smart city technology status DB. And the big data of smart city technology possessed by Korea companies and a plan for selecting a smart city export technology was prepared through analysis by region and company. As a result, to activate the technology possessed by Korea companies and to export overseas, it seems to need financial support and tax incentives that secure a pathway to export specialized smart technologies of SMEs, along with citizen participation and institutional supplementation. The smart city technology fields with the highest utilization in Korea were traffic, green energy, e-government, crime prevention, and construction, and the service types were platform, IoT, AI, big data, and GIS/GPS. These technologies are expected to contribute to building a platform for overseas smart city technology exports.

Empirical Research on the Death of Foreign-invested Companies (외국인 투자기업의 사멸에 관한 실증연구)

  • Seong, Kil-Yong
    • The Journal of the Korea Contents Association
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    • v.22 no.6
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    • pp.692-700
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    • 2022
  • This study was conducted to analyze firms' death rate and impact factors on the death of Foreign-invested Companies in Korea which is between 20013 and 2017. Cox Proportional Hazard Model took to conduct on the death impact factors, such as 2 characteristics factors of the firm, and 4 financial characteristics variables, variables, and 4 profitability factors. As a result of the impact factors of Foreign-invested Companies' death the Labour(NE) variables of characteristics firm had negative effects. And the Debt(LB), Operating Profit (OP), and Sales Profit (SP) of the financial characteristics had a negative effect. Other factors did not produce significant results. As a result of an empirically comparative analysis of the mortality rate of foreign-invested companies by the Kaplan-Meier method, it was analyzed that fully owned companies and large enterprises had lower extinction risk and greater sustainable management potential than joint ventures or SMEs.

Topic Modeling of News Article Related to Franchise Regulation Using LDA (LDA 를 이용한 '프랜차이즈 규제' 관련 뉴스기사 토픽모델링)

  • YANG, Woo-Ryeong;YANG, Hoe Chang
    • The Korean Journal of Franchise Management
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    • v.13 no.4
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    • pp.1-12
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    • 2022
  • Purpose: In 2020, the franchise industry accomplished a significant growth compared to the previous year, as the number of franchise companies increased by 9.0% while the number of franchise brands increased by 12.5%. Despite growth in size, the Korean franchise industry underwent many negative incidents, such as franchise ownership sales to private equity funds, that led to deterioration of businesses. From this point of view, this study aims to make various proposals to help policy makers develop franchise industry policies by analyzing trends of the current and previous presidential administrations' franchise policies and regulations using newspaper articles. Research design, data and methodology: A total of 7,439 articles registered in Naver API from February 25, 2013 to November 29, 2021 were extracted. Among them, 34 unrelated video articles were deleted, and a total of 7,405 articles from both administrations were used for analysis. The R package was used for word frequency analysis, word clouding, word correlation analysis, and LDA (Latent Dirichlet Allocation) topic modeling. Results: The keyword frequency analysis shows that the most frequently mentioned keywords during the previous administration include 'no-brand', 'major company', 'bill', 'business field', and 'SMEs', and those mentioned during the current administration include 'industry' and 'policy'. As a result of LDA topic modeling, 9 topics such as 'global startups' and 'job creation' from the previous administration, and 10 topics such as 'franchise business' and 'distribution industry' from the current administration were derived. The results of LDAvis showed that the previous administration operated a policy based on mutual growth of large and small businesses rather than hostile regulations in the franchise business, whereas the current administration extended the regulation related to franchise business to the employment sector. Conclusions: The analysis of past two administrations' franchise policy, it can be suggested that franchisors and franchisees may complement each other in developing the Fair Transactions in Franchise Business Act and achieving balanced growth. Moreover, political support is needed for sound development of franchisors. Limitations and future research suggestions are presented at the end of this study.

A Study on the implementation of the drape generation model using textile drape image (섬유 드레이프 이미지를 활용한 드레이프 생성 모델 구현에 관한 연구)

  • Son, Jae Ik;Kim, Dong Hyun;Choi, Yun Sung
    • Smart Media Journal
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    • v.10 no.4
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    • pp.28-34
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    • 2021
  • Drape is one of the factors that determine the shape of clothes and is one of the very important factors in the textile and fashion industry. At a time when non-face-to-face transactions are being activated due to the impact of the coronavirus, more and more companies are asking for drape value. However, in the case of small and medium-sized enterprises (SMEs), it is difficult to measure the drape, because they feel the burden of time and money for measuring the drape. Therefore, this study aimed to generate a drape image for the material property value input using a conditional adversarial neural network through 3D simulation images generated by measuring digital properties. A drape image was created through the existing 736 digital property values, and this was used for model training. Then, the drape value was calculated for the image samples obtained through the generative model. As a result of comparing the actual drape experimental value and the generated drape value, it was confirmed that the error of the peak number was 0.75, and the average error of the drape value was 7.875

Analysis of Sustainability Report Content Using GRI: Public and Private Enterprise Perspective (GRI를 이용한 지속가능보고서 구성 분석: 공,사 기업 관점으로)

  • Yun, Ji Hye;Lee, Jong Hwa
    • Knowledge Management Research
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    • v.23 no.3
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    • pp.153-171
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    • 2022
  • With the global ESG management craze, domestic and foreign companies voluntarily declare sustainable management and actively respond by establishing strategies. The Financial Services Commission mandates the disclosure of sustainability reports representing ESG management sequentially and will expand to SMEs in the future. Information disclosure of sustainability reports is mainly done through international standards such as GRI, SASB, and TCFD, and many domestic companies use GRI Standards guidelines. This study examines the composition system of sustainability reports and compares public and private companies with GRI Standards to analyze sustainable management by type. This study revealed that public enterprises focused on social and labor, while private enterprises focused on the economy and environment through TF-IDF modeling. In addition, the electronic and information communication industries focused on product responsibility. Unlike previous studies that quantified and analyzed sustainability management according to grade, the current study analyzed sustainability reports, which are unstructured data. Therefore, the results of this study are expected to provide valuable theoretical and practical implications for researchers and supervisors interested in ESG management.

Perception Survey about SMEs Employment of University Students in Chungbuk Area: Based on Text-mining (충북지역 대학생의 중소기업 취업에 대한 인식조사: 텍스트마이닝을 기반으로)

  • Choi, Dabin;Choi, Wooseok;Choi, Sanghyun;Lee, Junghwan
    • Korean small business review
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    • v.42 no.4
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    • pp.235-250
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    • 2020
  • This study surveyed the perception of university students about employment in Small and Medium-sized Enterprises(SME) in the Chungbuk area to prepare improvement measures. In particular, the data were collected in descriptive questions along with the existing survey methods, and the perception of SME and decent work was identified using text-mining. As a result of the analysis, there are positive perceptions of jobs at SME such as various work experiences and low job competition rates, while there are generally many negative perceptions in pay, work and welfare. However, as a result of co-occurrence network analysis of responses to decent jobs, 'Information' was derived as a keyword. Currently, college students' negative perception of SME is affected by the lack of sufficient information, which needs to be improved first. To solve this problem, it was proposed to establish and operate a platform that can provide information on employment of SME and select necessary personnel.