• Title/Summary/Keyword: Crucial Capabilities

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Operation of a Networked Virtual Manufacturing System using Quasi-Procedural Method

  • Noh, Sang-Do;Sheen, Dong-Mok;Hahn, Hyung-Sang;Lee, Kyoil
    • 제어로봇시스템학회:학술대회논문집
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    • 1999.10a
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    • pp.177-180
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    • 1999
  • Nowadays, one of the major technical issues in manufacturing is to create an environment to promote collaboration among diverse engineering activities. Collaborative engineering is an innovative approach integrating widely distributed engineering activities through promoting information sharing and actual collaboration. It requires close interactions among developers, suppliers and customers, and consideration of entire product life cycle from concept to disposal. A carefully-designed operating system is crucial for successful collaboration of many different activities in a Networked Virtual Manufacturing System(NVMS). High extensibility, flexibility and efficiency ale the key characteristics requested of an operating system to handle the complexity of the NVMSs. In this paper, we propose a model of the operating system for collaborative engineering using concurrent quasi-procedural method(QPM). QPM is a goal-driven data management technique for distributed and parallel computing environments. It is to be applied to the evaluation of activities to be executed, validities of input data, execution path of activities for a needed output, and expected to greatly improve the productivity of operations by preventing redundant evaluations. Collaboration among many different engineering activities in NVMSs is to be performed by the network of agents that encapsulate the capabilities of both users and their tools.

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Development of a Mixed Chaotic Electric Arc Furnace Model (전력 품질 해석을 위한 개선된 전기아크로 모델 개발)

  • Jang, Gil-Soo;Wang, Weiguo;Lee, Byongjun;Kwon, Sae-Hyuk
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.50 no.2
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    • pp.90-95
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    • 2001
  • Electric arc furnaces (EAFs) has a process to cause the degradation of the electric power quality such as voltage flicker. In order to adequately understand and analyze the effects on the power system from these loads, obtaining an accurate representation of the characteristics of the loads is crucial. In this paper, a mixed chaotic EAF model to represent the low frequency and high frequency variations of the arc current respectively has been proposed. The Lorenz system may contribute to the low frequency components of arc current and the logistic equation may contribute to the high frequency components, and the proposed mixed model will be a combination of both Lorenz and logistic model. The concept of chaotic parameters, such as chaotic resistance, inductance of admittance has been also proposed for the characterization of arc furnace operation and the highly nonlinear physical processes. The power quality indices are calculated from the simulated waveforms and compared with the actual power quality indices statistics in order to illustrate the model's capabilities.

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The Influence of Individual Characteristics, Training Content and Manager Support on On-the-Job Training Effectiveness

  • IBRAHIM, Hadziroh;ZIN, Md. Lazim Mohd;VENGDASAMY, Punitha
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.11
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    • pp.499-506
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    • 2020
  • The study examines the influence of individual characteristics, training content, and manager support on the effectiveness of on-the-job (OJT) training in the banking and finance industry. A simple random sampling technique was used to select the samples. Questionnaires were distributed to respondents in order to obtain the data. Using cross-sectional data obtained from 396 respondents in Bank A in Malaysia, the multiple regression results show that self-efficacy, motivation to learn, training content, and manager support have positive influence on OJT training effectiveness. Among all these factors, manager support is very highly correlated with OJT training effectiveness. The findings have given fruitful insight of the crucial roles of OJT training in the respective bank, particularly to bring forward the roles of systematic design and implementation of OJT training. This study is not only expanding knowledge in OJT and training, but offers managers practical insights in developing good OJT training program by considering employees need, capabilities, skills and job requirement. Furthermore, this study also provides a valuable framework in identifying the effectiveness of OJT training program for certain jobs. Further discussion of the research findings and its implications to theoretical knowledge of training and managers are promised at the end of the article.

Structural Framework to Measure Smart Technology Capability for Smart Factory of Manufacturing Fields

  • CHUI, YOUNG YOON
    • Journal of the Korea Management Engineers Society
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    • v.23 no.4
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    • pp.165-177
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    • 2018
  • Smart technology has been utilized in various fields of all kinds of industries. Manufacturing industry has built its smart technology environment appropriate for its manufacturing fields in order to strengthen its manufacturing performance and competitiveness. The advance of smart technology for manufacturing industry needs to efficiently produce products, and response customer's demands and services in a global industrial environment. The smart technology capability of manufacturing fields is very crucial for the innovative production and efficient operation activities, and for efficient advancement of the manufacturing performance. We have necessitated a scientific and objective method that can gauge a smart technology ability in order to manage and strengthen the smart technology ability of manufacturing fields. This research provides a comprehensive framework that can rationally gauge the smart technology capability of manufacturing fields for effectively managing and advancing their smart technology capabilities. In this research, we especially develop a structural framework that can gauge the smart technology capability for a smart factory of manufacturing fields, with verifying by reliability analysis and factor analysis based on previous literature. This study presents a 13-item framework that can measure the smart technology capability for a smart factory of manufacturing fields in a smart technology perspective.

Strategic Management of Universities for Regional Competitiveness

  • NURMUKHANOVA, Gulnara;ALIBEKOVA, Gulnaz;TAMENOVA, Saltanat;NIYETALINA, Gaukhar
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.551-562
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    • 2021
  • Strategic management of universities is crucial for the regional competitiveness due to the high impact of universities on the economic growth of regions through entrepreneurial training and support. The study aimed to investigate the HEInnovate self-assessment tool, valuable in building entrepreneurship-oriented strategy, by considering the case of Turan University. The tool can be used to study entrepreneurial capabilities of the university and make strong management decisions. The self-assessment allows getting feedback from all stakeholders, including external ones, which helps to make institutional changes to influence the regional economic growth. The framework of the research is based on the theories of strategic management and regional competitiveness, which can be deployed with the HEInnovate self-assessment recommendations and findings. The research methodology comprises objective and functional approaches to system analysis. HEInnovate self-assessment by Turan university revealed some weaknesses in the university strategy and helped make some recommendations, namely, the university's entrepreneurial ecosystem must act as part of a regional business support ecosystem to provide input into local economic development, attract more international faculty and faculty with more practical experience, create an entrepreneurial culture across staff of the university, address a lack of internal structures to support staff, and improve university-business cooperation.

Faculty Development for Medical Faculty: Importance and Strategies (의과대학 교수의 경력개발: 필요성과 실행전략)

  • Do-Hwan Kim
    • Korean Medical Education Review
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    • v.25 no.1
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    • pp.3-16
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    • 2023
  • Unlike in the past, standards for the quantity and quality of work expected from medical school faculty are continuously rising, causing changes and stress in various areas. This highlights the need for career development among medical school faculty for professional, personal, organizational, and societal reasons. The role of medical school faculty has become more diverse, leading to an increase in the types and levels of competencies required. Medical schools must support their faculty members with diverse identities in fully utilizing their capabilities to achieve the institution's mission. Furthermore, societal changes suggest that career development for medical school faculty will become even more crucial in the future. To achieve this, both individuals and organizations must make efforts and play appropriate roles. For this purpose, medical schools use a combination of promotion and tenure evaluations and faculty development programs, while individual faculty members follow a career path within the medical school environment. Medical school faculty must be able to meet the evolving demands at each stage of their careers. It is important for professors, who engage in career development, to have a clear sense of their identity and values, and to prioritize their career goals. Medical schools should also ensure that the implicit messages they convey align with the organization's explicit values. Finally, proactively preparing for future changes in society and generations is essential from a long-term perspective.

Unpacking the Influence of Entrepreneurial Orientation and Government Support Programs on New Product Performance

  • Youngwoo LEE;Youngsam CHO
    • East Asian Journal of Business Economics (EAJBE)
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    • v.11 no.2
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    • pp.109-118
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    • 2023
  • Purpose - This research paper aims to examine the impact of entrepreneurial orientation (EO) and government support programs (GSP) on new product performance in Korean Small and Medium-sized Enterprises (SME). We specifically focus on the interaction between these two factors and their influence on the new product performance of Korean SMEs. Research design, data, and methodology - We collected survey questionnaires from SMEs that are certified with Inno-biz by the Korean Ministry of SMEs and Startups. The collected data was analyzed using SPSS 26 and AMOS to create an integrated model. Result - Based on the analysis, our findings indicate that the proactiveness and innovativeness dimensions of EO have a positive effect on new product performance. However, the risk-taking dimension of EO has a negative effect. Additionally, GSP exhibit both positive and negative moderating effects on different dimensions of EO. Conclusion - It is important to recognize that GSP are not a universal solution for all challenges faced by SMEs. Hence, it is crucial for policy-makers to have a clear understanding of SMEs' capabilities and the level of EO dimensions in order to identify types of GSP that could lead to positive outcomes, while minimizing the negative effects of GSP.

Impact of Export Initiation Support System on Domestic Small and Medium Size Companies (내수기업 수출기업화 사업이 기업 성과에 미치는 영향에 관한 연구)

  • Chanyoul Kim;Dong Hyun Baek
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.2
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    • pp.143-151
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    • 2023
  • Expanding exports of small and medium-sized companies is crucial for the continuous growth of the Korean economy. Therefore, the government operates various support systems to enhance the export capabilities of these companies. This study aims to analyze the impact of the Korean government's flagship export support system, known as the export initiation support system, on the performance of participating domestic companies. A fixed effect model using panel data was applied to examine the characteristics of 11,099 companies that participated in the export initiation support system from 2016 to 2019. The analysis revealed that the number of exporting countries, employees, and previous export volume had a significant impact on the export amount of participating companies. However, contrary to expectations, the number of overseas marketing participation and the GCL (global competence level) test did not show a significant impact. This study is significant as it provides implications for the development of support projects tailored to the specific needs of small and medium-sized companies, with the goal of improving the export support system.

Types of Unfair Activity under Subcontracting and their Solutions: Qualitative Research Design

  • Ji-Heon HA;Tae-Hyung KIM
    • The Journal of Industrial Distribution & Business
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    • v.14 no.8
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    • pp.19-25
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    • 2023
  • Using a procurement and construction stage emphasis on the capabilities of the Sub-Contractor (SC), the present research aims to discover the types of unfair activities between the Main Contractor (MC) and SC and their influence on project completion. This research also tries to figure out solutions which can reduce unfair activities between MC and SC. Research design, data and methodology: The qualitative textual analysis was selected for the current research and has been used by numerous previous researchers commonly to review relevant themes in the prior resources and suggested for researchers who conduct a reviewing procedure to analyze meta-analysis approach for figuring out better research findings from prior resources. Results: The result indicates the prevalence and consequences of bid shopping, emphasizing the need for transparency and fair bidding practices. Late payment issues were also found to be crucial for subcontractors' financial stability, urging the implementation of prompt payment legislation and agreements. Conclusions: In conclusion, the research revealed that subcontracting is common in construction projects, with general contractors relying on multiple subcontractors to carry out specific work items. The accomplishment of building projects hinges on the collaborative efforts between the main contractor (MC) and subcontractors (SCs), each focusing on different aspects of the project.

Research Trends in Large Language Models and Mathematical Reasoning (초거대 언어모델과 수학추론 연구 동향)

  • O.W. Kwon;J.H. Shin;Y.A. Seo;S.J. Lim;J. Heo;K.Y. Lee
    • Electronics and Telecommunications Trends
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    • v.38 no.6
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    • pp.1-11
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    • 2023
  • Large language models seem promising for handling reasoning problems, but their underlying solving mechanisms remain unclear. Large language models will establish a new paradigm in artificial intelligence and the society as a whole. However, a major challenge of large language models is the massive resources required for training and operation. To address this issue, researchers are actively exploring compact large language models that retain the capabilities of large language models while notably reducing the model size. These research efforts are mainly focused on improving pretraining, instruction tuning, and alignment. On the other hand, chain-of-thought prompting is a technique aimed at enhancing the reasoning ability of large language models. It provides an answer through a series of intermediate reasoning steps when given a problem. By guiding the model through a multistep problem-solving process, chain-of-thought prompting may improve the model reasoning skills. Mathematical reasoning, which is a fundamental aspect of human intelligence, has played a crucial role in advancing large language models toward human-level performance. As a result, mathematical reasoning is being widely explored in the context of large language models. This type of research extends to various domains such as geometry problem solving, tabular mathematical reasoning, visual question answering, and other areas.