• Title/Summary/Keyword: 업무유연성

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Implementation of the ERP System for Small Business (소규모 창업자를 위한 효율적인 ERP 시스템 구현)

  • Lee, Sang Myung;Park, Su Won;Kim, Dae Hun;Masanori, Yamamoto;Jo, Gyu Nam;Jung, Dong Jun;Jung, Sung Won;Jung, Young-Ae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2014.11a
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    • pp.725-728
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    • 2014
  • In this paper, we build a web ERP system that is focused on the logistics, storage, materials management to establish internal enterprise information system for small business. This system is possible to be transformed to separated modules so it is possible to be modified and added easily. And it is also implemented to provide mobile interlace for mobility extension. The ShopE.R ERP system is a solution that can be reorganized flexibly according to variable changes in the corporate business processes.

Decision Support System to Detect Unauthorized Access in Smart Work Environment (스마트워크 환경에서 이상접속탐지를 위한 의사결정지원 시스템 연구)

  • Lee, Jae-Ho;Lee, Dong-Hoon;Kim, Huy-Kang
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.4
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    • pp.797-808
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    • 2012
  • In smart work environment, a company provides employees a flexible work environment for tele-working using mobile phone or portable devices. On the other hand, such environment are exposed to the risks which the attacker can intrude into computer systems or leak personal information of smart-workers' and gain a company's sensitive information. To reduce these risks, the security administrator needs to analyze the usage patterns of employees and detect abnormal behaviors by monitoring VPN(Virtual Private Network) access log. This paper proposes a decision support system that can notify the status by using visualization and similarity measure through clustering analysis. On average, 88.7% of abnormal event can be detected by this proposed method. With this proposed system, the security administrator can detect abnormal behaviors of the employees and prevent account theft.

A suggestion of in-depth interview guidelines using generative AI services for lean startups (린 스타트업을 위한 생성형 AI 서비스 활용 심층 인터뷰 가이드라인 제안)

  • Lee Soobin;Jung Young-Wook
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.2
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    • pp.471-485
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    • 2024
  • This study explores the effective utilization of generative AI for conducting in-depth interviews within the lean startup environment. With recent technological advancements, the application of generative AI in enhancing operational productivity has been on the rise across various organizations, and this trend extends to the lean startup milieu. The research develops specific guidelines and a guidebook aimed at assisting practitioners in lean startups to conduct in-depth interviews using AI, even amidst the constraints of limited time and capital. The proposed guidebook facilitates practitioners to swiftly design and conduct interviews, thereby promoting an agile and flexible working environment within lean startups. Moreover, this study investigates practical methods for applying text-based generative AI services like ChatGPT 4 and Luyten in the fields of design and interviewing, thereby contributing to the academic discussion and practical implementation in these areas. The significance of this research lies in its potential to broaden the horizon of scholarly debate and practical application of generative AI in lean startups.

Management Automation Technique for Maintaining Performance of Machine Learning-Based Power Grid Condition Prediction Model (기계학습 기반 전력망 상태예측 모델 성능 유지관리 자동화 기법)

  • Lee, Haesung;Lee, Byunsung;Moon, Sangun;Kim, Junhyuk;Lee, Heysun
    • KEPCO Journal on Electric Power and Energy
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    • v.6 no.4
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    • pp.413-418
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    • 2020
  • It is necessary to manage the prediction accuracy of the machine learning model to prevent the decrease in the performance of the grid network condition prediction model due to overfitting of the initial training data and to continuously utilize the prediction model in the field by maintaining the prediction accuracy. In this paper, we propose an automation technique for maintaining the performance of the model, which increases the accuracy and reliability of the prediction model by considering the characteristics of the power grid state data that constantly changes due to various factors, and enables quality maintenance at a level applicable to the field. The proposed technique modeled a series of tasks for maintaining the performance of the power grid condition prediction model through the application of the workflow management technology in the form of a workflow, and then automated it to make the work more efficient. In addition, the reliability of the performance result is secured by evaluating the performance of the prediction model taking into account both the degree of change in the statistical characteristics of the data and the level of generalization of the prediction, which has not been attempted in the existing technology. Through this, the accuracy of the prediction model is maintained at a certain level, and further new development of predictive models with excellent performance is possible. As a result, the proposed technique not only solves the problem of performance degradation of the predictive model, but also improves the field utilization of the condition prediction model in a complex power grid system.

The Organization Commitment and Perception of Human Resource Management by Employment Types of School Foodservice Employees (학교급식 직원의 고용유형에 따른 인적 자원 관리 활동에 대한 인식과 조직 몰입도)

  • Lee, Ok;Cho, Minju;Chang, Hyeja
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.43 no.1
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    • pp.162-171
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    • 2014
  • As the foodservice industry is labor intensive, the efficient management of human resources is an essential element for improving operational efficiency. This study was designed to investigate the performance level of human resource management in self-operated school foodservices and to examine the relationship between human resource management, organizational commitment, and productivity. Whether these factors rated differently by employment and job types was also examined. Data were collected through questionnaires distributed to 60 dieticians and 240 cooks in Seongnam and Yongin. Frequency analysis, factor analysis, the t-test and multiple regression analysis were tested using Minitab. Human resource management practices rated highly in the dimension of employee training (3.51), followed by working environment (3.39), and turnover management (3.37). In contrast, reward management (1.73) and working condition (1.56) received the lowest score. Organizational commitment scored 3.65 points, and showed that dedication (3.82) was the highest score; however, self-esteem (3.50) was the lowest score. For human resource management, there were significant differences between employment types as full time workers (3.85) rated management more highly than part-time worker (3.43). Overall productivity was fairly high, especially in high school foodservices. Only the performance appraisal had an influence on organizational commitment (${\beta}$=0.292, P<0.05). Productivity was positively correlated with human resource management (r=0.432, P<0.001) and organizational commitment (r=0.36, P<0.01). In conclusion, school foodservices need to establish objective performance standards, and increase employee morale by enhancing reward systems and working conditions. In particular, irregular employees require training with job performance standards and given a proper reward program, depending on their performance, to improve organizational commitment.

Deep Learning OCR based document processing platform and its application in financial domain (금융 특화 딥러닝 광학문자인식 기반 문서 처리 플랫폼 구축 및 금융권 내 활용)

  • Dongyoung Kim;Doohyung Kim;Myungsung Kwak;Hyunsoo Son;Dongwon Sohn;Mingi Lim;Yeji Shin;Hyeonjung Lee;Chandong Park;Mihyang Kim;Dongwon Choi
    • Journal of Intelligence and Information Systems
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    • v.29 no.1
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    • pp.143-174
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    • 2023
  • With the development of deep learning technologies, Artificial Intelligence powered Optical Character Recognition (AI-OCR) has evolved to read multiple languages from various forms of images accurately. For the financial industry, where a large number of diverse documents are processed through manpower, the potential for using AI-OCR is great. In this study, we present a configuration and a design of an AI-OCR modality for use in the financial industry and discuss the platform construction with application cases. Since the use of financial domain data is prohibited under the Personal Information Protection Act, we developed a deep learning-based data generation approach and used it to train the AI-OCR models. The AI-OCR models are trained for image preprocessing, text recognition, and language processing and are configured as a microservice architected platform to process a broad variety of documents. We have demonstrated the AI-OCR platform by applying it to financial domain tasks of document sorting, document verification, and typing assistance The demonstrations confirm the increasing work efficiency and conveniences.

A Present Condition of R&D Supporting Industries: A Search for their Promotion (국내 연구개발 지원산업의 현황분석과 육성방안에 관한 연구)

  • 이장재;박종오
    • Journal of Korea Technology Innovation Society
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    • v.2 no.2
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    • pp.219-232
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    • 1999
  • 연구개발 지원산업은 연구개발 활동을 직·간접적으로 지원하는 산업을 의미한다. 이러한 산업에 대한 개념화는 연구개발 활동의 전문화(professionalization), 분업화(division of labor)가 진행되고 있음을 의미하는 동시에 연구개발체제의 유연성 제고 및 고도화, 효율화가 이루어지고 있음을 나타내고 있다. 우리의 경우 (과학기술혁신을 위한 특별법) 제 15조 등을 통하여 연구개발 지원사업에 대한 특별지원제도의 시행을 명시하고 있으나 현재까지 연구개발 지원사업자를 지정·육성하기 위한 기본현황 파악이나 분석이 이루어지지 않은 실정이다. 본고는 이러한 수요를 반영하여 국내에서의 연구개발 지원산업에 대한 수요를 중심으로 실태를 파악 ·분석하는 동시에 산업지원 육성방안을 제시하고 있다. 국내 연구개발 지원산업의 규모를 추정해 보면 97년 현재 약 3,000억원에서 4,000억원의 규모로 나타나며, 이중 기술정보서비스업이 약 27.0%, 연구장비 및 시험 ·평가 ·검색 ·분석업이 약 38.4%, 연구개발 설계·자문업 등 기타사업이 34.6% 로 나타나고 있다. 연구개발지원 기능은 시험·검사 기능과 기술정보제공 기능이 대부분을 차지하고 있고, 전자의 경우는 내부처리의 비중이 높고 후자의 경우 외부의 전문기관을 이용하는 비중이 높게 나타나고 있다. 특히 기업이 연구개발활동 수행시에 필요한 지원기능을 외부에 위탁할 경우에 느끼는 애로사항은 첫째, 외부 전문위탁기관의 부족 및 정보 미흡이 가장 크고, 둘째, 전문기관의 해외정보력·경쟁력 부족이 다음이며, 공공기관의 지원기능이 미흡하다는 애로사항에 대한 비중이 상대적으로 낮게 나타나고 있다. 연구개발 지원산업을 특별지원·육성하기 위한 기본관점은 특별법의 시행령을 구체적으로 실행하기 위한 시행계획의 수립과 연구개발 지원산업의 육성 시책의 추진 절차의 결정, 사업자 선정, 지원 사항 등으로 제시될 수 있다. 먼저, 기업 연구개발활동의 고도화·효율화를 위해 연구개발 및 기술개량에 필요한 업무 중 기술정보서비스와 연구시험·평가·검사·분석 그리고 중소기업 기술집약화를 지원하는 사업 등을 연구개발 지원산업으로 범위를 정할 필요성이 있다. 다음으로 연구개발 지원사업자를 별도로 선정·인정하는 방식으로 지원해야 할 필요성이 있다. 기존의 산업 지원방식으로는 연구개발 지원기능이 주된 활동으로 인정받을 수 없으므로 국내 연구개발 지원기능의 발전에 한계가 있다. 따라서 취약한 여건을 감안하여 연구개발 지원산업을 육성하지 않게 되면, 각 분야별로 민간사업자의 참여가 거의 이루어지지 않거나, 참여해도 연구개발 지원 기능의 발전보다는 기존의 사업이 주가 될 가능성이 크다. 연구개발 지원 사업자의 지정 지원방식과는 별도로 이루어질 수 있는 지원활동에 대한 지원은 기업회계처리상의 문제와 일관성이 있는 시책추진 및 효과를 기대하기 어렵기 때문에 사전에 동산업의 참여 자격·능력을 갖춘 사업자에 대해서는 제한없이 참여할 수 있도록 Positive System으로 추진해야 할 것이다. 그리고 연구개발 지원사업자에 대한 지원내용을 조세·금융 등 직접적 지원과 타 제도와의 연계지원 그리고 정부구매 등 시장지원 등이 아울러 다양하게 추진될 필요가 있다.

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Work and Life Balance of Working Single-person Households : Focused on Unmarried 20-30 Generation (취업 1인가구의 일-생활 균형: 20-30대 미혼을 중심으로)

  • Song, Hyerim;Kang, Eunjoo
    • Journal of Family Resource Management and Policy Review
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    • v.25 no.4
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    • pp.55-70
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    • 2021
  • The aim of this study was to analyze the work and life balance of unmarried working cases in single-person households. Eleven cases were interviewed with a semi-structured questionnaire. The results were as follows: When they were starting as a single-person household on their own initiative and with enough preparation and planning, they expressed higher satisfaction as a single person household. For their adaptation to being a single-person household, practice education and information about household work and self-care were useful. Their thought about 'life' are focusing on self improvement and leisure activities either alone or with their friends. Their family interactions were performed with financial, emotional, and housework support from each other. Resources such as money and time were the major factors that impacted work and life balance. For work and life balance of single person househods, the cases needed political support for financial aid and flexible work arrangements.

The Improvement of maintainability evaluation method at system level using system component information and fuzzy technique (시스템의 구성품 정보와 퍼지 기법을 활용한 시스템 수준 정비도 평가 방법의 개선)

  • Yoo, Yeon-Yong;Lee, Jae-Chon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.3
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    • pp.100-109
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    • 2019
  • Maintainability indicates the extent to which maintenance can be done easily and quickly. The consideration of maintainability is crucial to reduce the operation and support costs of weapon systems, but if the maintainability is evaluated after the prototype production is done and necessitates design changes, it may increase the cost and delay the schedule. The evaluation should verify whether maintenance work can be performed, and support the designers in developing a design to improve maintainability. In previous studies, the maintainability index was calculated using the graph theory at the early design phase, but evaluation accuracy appeared to be limited. Analyzing the methods of evaluating the maintainability using fuzzy logic and 3D modeling indicate that the design of a system with good maintainability should be done in an integrated manner during the whole system life cycle. This paper proposes a method to evaluate maintainability using SysML-based modeling and simulation technique and fuzzy logic. The physical design structure with maintainability attributes was modeled using SysML 'bdd' diagram, and the maintainability was represented by an AHP matrix for maintainability attributes. We then calculated the maintainability using AHP-based weighting calculation and fuzzy logic through the use of SysML 'par' diagram that incorporated MATLAB. The proposed maintainability model can be managed efficiently and consistently, and the state of system design and maintainability can be analyzed quantitatively, thereby improving design by early identifying the items with low maintainability.

In-House Subcontracting and Industrial Relations in Japanes Steel Industry (일본 철강산업의 사내하청과 노사관계)

  • Oh, Haksoo
    • Korean Journal of Labor Studies
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    • v.24 no.1
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    • pp.107-156
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    • 2018
  • This article examines the history of the in - house subcontracting and the stabilization of labor - management relations in the steel industry in Japan. The ratio of in-house subcontract workers among steel workers has increased steadily until the mid-2000s, and about 70% in case of the largest company. In-house subcontracting was used as a strategy of the company to increase the quantity flexibility of employment and to save labor costs. The in-house subcontracting company needed company-specialized skills, and the internal labor market was formed because the rate of full-time workers was high and the turnover rate was low. The in-house subcontractor introduced long-term business relationship with the steel factory by introducing the equipment and materials necessary for the performance of the work, and the factory implemented the productivity improvement policy of the in-house subcontractor, and the win-win relationship between the factory and in-house subcontractor was developed. The trade union did not oppose the idea that the expansion of in-house subcontracting contributed to corporate profits, the stability of employment of the members and maintenance of their working conditions. Since 2000, the steel factory has pursued the transformation of in - house subcontractors into subsidiaries, which has been supported by capital relations. By the way, since the mid-2000s, there has been an increase in the number of regular workers' employment. The major factors are as follows: more strengthened compliance with laws and regulations, the higher quality request of customers, stricter keeping of deadlines, and problem in recruiting of workers at in-house subcontract companies. The wage gap between the factory and in - house subcontracting was less at company B than at company S, and the wage level of in - house subcontracting was about 90% of the factory at company B. The relatively small gap at company B seems to be due to the union's movement of narrowing the gap, low market dominance and unfavorable labor market. The internal labor market has been formed in the in-house subcontracting, and the wage gap is not large, and the possibility of labor disputes is low. Industrial relations are stable in the in-house subcontract company as well as the factory. The stabilization of labor-management relations in the steel industry in Korea is required to reduce the wage gap between the factory and in-house subcontract enterprises by raising productivity and expanding the internal labor market at in-house subcontract enterprises.