• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권12호
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• pp.3330-3344
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• 2023

This paper proposes an antenna performance prediction model in the autonomous driving radar manufacturing process. Our research work is based upon a challenge dataset, Driving Radar Manufacturing Process Dataset, and a typical AutoML machine learning workflow engine, Pycaret open-source Python library. Note that the dataset contains the total 70 data-items, out of which 54 used as input features and 16 used as output features, and the dataset is properly built into resolving the multi-output regression problem. During the data regression analysis and preprocessing phase, we identified several input features having similar correlations and so detached some of those input features, which may become a serious cause of the multicollinearity problem that affect the overall model performance. In the training phase, we train each of output-feature regression models by using the AutoML approach. Next, we selected the top 5 models showing the higher performances in the AutoML result reports and applied the ensemble method so as for the selected models' performances to be improved. In performing the experimental performance evaluation of the regression prediction model, we particularly used two metrics, MAE and RMSE, and the results of which were 0.6928 and 1.2065, respectively. Additionally, we carried out a series of experiments to verify the proposed model's performance by comparing with other existing models' performances. In conclusion, we enhance accuracy for safer autonomous vehicles, reduces manufacturing costs through AutoML-Pycaret and machine learning ensembled model, and prevents the production of faulty radar systems, conserving resources. Ultimately, the proposed model holds significant promise not only for antenna performance but also for improving manufacturing quality and advancing radar systems in autonomous vehicles.

• 품질경영학회지
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• 제31권3호
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• pp.114-125
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• 2003

In this paper, we deal with the problem of modeling of agent-based robot manufacturing cell. Its role is becoming increasingly important in automated manufacturing systems. For Object Oriented & Queueing Petri Nets (OO&QPNs), an extended formalism for the combined quantitative and qualitative analysis of different systems is used for structure and performance analysis of mobile robotic cell. In the case study, the OO&QPN model of a mobile robotic cell is represented and analyzed, considering multi-class parts, non-preemptive priority and alternative routing. Finally, the comparison of performance values between Shortest Process Time (SPT) rule and First Come First Serve (FCFS) rule is suggested. In general, SPT rule is most suitable for parts that have shorter processing time than others.

• 한국정보시스템학회지:정보시스템연구
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• 제16권2호
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• pp.145-169
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• 2007

The purpose of this research is to investigate success factors of knowledge management in Korea companies. The research scheme was experimented through a questionnaire survey answered by 87 companies. The research model was composed of five groups : 1) CEO support and business strategics, 2) organization culture 3) information technology characteristic of knowledge workers 4) a reward and performance measurement 5) knowledge management system. The results of this research indicated that the CEO support and organization culture are important factors for knowledge activities. The information technology characteristic of knowledge workers and a reward have small effects for knowledge activities. Manufacturing companies and non-manufacturing companies need different knowledge management strategies. The results of this study will be helpful for the success implementation of knowledge management in Korean companies.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2005년도 춘계학술대회 논문집
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• pp.132-137
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• 2005

This research presents a modeling and a manufacturing method of screw type flow meter. This paper introduces the efficient design and manufacturing method of screw type flow meter using reverse engineering and test technology. The methods introduced this paper utilize the reverse engineering that is increasing accuracy of modeling and manufacturing of reverse model. And then it can be used in performance test with hydraulic test equipment. Hence this can be used in the basic document for development of the quite accurate flow meter.

• 무역학회지
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• 제47권6호
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• pp.211-228
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• 2022

With the advent of a recent knowledge-based society, interest in patents is steadily increasing. The patent is an important indicator that can capture the level of R&D investment and technology development. In an era of deepening new protectionism and the pandemic of COVID-19, patents play an important role in sustainable economic development and establishing a strong domestic industrial ecosystem. In this paper, we analyze the impact of patent applications on the corporate performance of the Korean manufacturing industry over the past 21 years from 1999 to 2019. We divide patents into overseas patents and domestic patents and analyze the respective effects on the entire manufacturing industry, ICT industries, and non-ICT industries. Major findings are summarized as follows. First, patents have a positive effect on both exports and sales of Korean manufacturing companies. Second, overseas patents have a greater impact on corporate performance than domestic patents. Third, Patents have a more positive effect on ICT industries than on non-ICT industries.

• 한국콘텐츠학회논문지
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• 제22권2호
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• pp.617-629
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• 2022

본 연구는 선박 부품제조 기업의 기술혁신이 경영성과에 미치는 영향관계에서 기술흡수역량의 매개효과를 실증적으로 분석하였다. 이를 통해, 향후 기술개발과 관련된 경영전략 수립의 개선방안에 시사점을 제공할 수 있을 것이다. 본 연구목적을 달성하기 위하여, 부산, 경남 지역의 조선, 선박 부품업체의 연구개발, 마케팅, 생산·제조, 자금/회계 부서에 근무하는 총 362명을 연구대상자로 선정하였다. 본 연구결과, 선박 부품제조 기업의 기술혁신, 기술흡수역량이 경영성과에 정(+)적인 영향을 미치는 것으로 파악되었다. 이러한 연구결과를 근간으로 한 결론은 기술흡수역량을 구성하는 잠재흡수역량과 실현흡수역량이 지속적인 기술 역량 축적 등 기술혁신과 경영성과 상호 간에 주요한 핵심 요인이 될 것으로 판단된다. 실무적인 관점에서는 선박 부품제조 산업은 스마트 부품공정 기술흡수 역량에 집중할 필요성이 제기된다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1996년도 춘계학술대회 논문집
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• pp.506-511
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• 1996

The performance evaluation of flexible manufacturing systems or cells at the stages of design and planning is one of important issues in manufacturing. For that reason, Guo has presented an approachbased on moment generating function and generalized stochastic PetriNets for performance analysis. In this paper, Buo's approach is extended tothe cases of flexible manufacturing cell including one machining center with a local buffer, AS/RS(Automatic Storage and Retrieval System), set-up station and AGV(Automated Guided Vehicle). Then the performance measures from this approach is compared with simulation. The major advantage ofthis method over existing performance evaluation methods is the ability to compute analytic solutions for performance measures.

• 품질경영학회지
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• 제29권1호
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• pp.140-159
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• 2001

The purpose of this study is to analyse the effectiveness of Quality Leadership on the Business Performance through Quality System for Manufacturing Companies in the North-east China, and research into the model of Quality Leadership is related with the Business Performance. A new questionnaire of QM based on Conti's Quality System thesis, was developed and tested. A statistical analysis of data was collected from Manufacturing Firms in the North-east China. As a result, Quality Leadership is the important drivers of Total Quality Management, and is related with the Quality System. Then, the Quality System is directly related with process, and process is also related with the Product Quality and the Business Performance. Of course, the Product Quality is directly related with the Business Performance in the end.

• International Journal of Quality Innovation
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• 제3권2호
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• pp.57-73
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• 2002

Recent interests in total quality management (TQM) and business excellence (BE) had been fuelled with a range of national and regional awards. These awards are being increasingly used by organisations as part of the business improvement process and strategic benchmarking. This paper reviews the concepts and approaches of performance measurement (PM) and discusses the integration of PM with the TQM and BE philosophies. A TQM-BE-PM framework with a set of self-assessment checklists was developed. In order to complement the literature base with empirical evidence, an industry survey was conducted and a trial implementation of the framework was carried out in a leading manufacturing firm in Hong Kong. The self-assessment performance data of the fm was evaluated and then benchmarked with the industry averages obtained from the survey. This paper presents the empirical findings and discusses the applicability of the framework in measuring and benchmarking organisational performance toward continual improvement.

• 유통과학연구
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• 제14권9호
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• pp.121-132
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• 2016

Purpose - This study has the following objectives. First, it seeks to build an integrated model that can analyze the path through which headquarters, subsidiary competence, and knowledge transfer performance influence subsidiary performance. Second, it analyzes the influence of the specificity of technology as a moderating effect factor on knowledge transfer process. Third, it will conduct an empirical analysis on distributive manufacturing MNEs and suggests an implication for companies that actually need technological localization. The difference of this study are as follows. First, unlike the existing studies, this study can expand a theoretical discussion as it uses subsidiary performance as the dependent variable. Second, it sets the specificity of technology as a moderating effect factor, not an antecedent, and can draw a theoretical implication. Research design, data, and methodology - This study built a path analysis model to identify the influence of the disseminative capacity and absorptive capacity of distributive manufacturing MNEs on subsidiary performance. Based on the previous studies, it set 19 items as 5 latent variables, and established 6 hypotheses by including the moderating effect of the specificity of technology between them. The final 203 companies were selected as analysis samples through a survey questionnaire. For empirical analysis, the study used PLS (Partial Least Square) that is based on structural equation model. Results - The empirical analysis result demonstrated that both headquarters' disseminative capability and subsidiaries absorptive capacity had a positive influence on knowledge transfer performance. Knowledge transfer performance also had a positive influence on subsidiary performance. In the analysis of moderating effect, the specificity of technology acted as a significant moderating variable only between knowledge transfer performance and subsidiary performance; it did not show a statistically significant moderating effect among disseminative capability, absorptive capacity, and knowledge transfer performance. Conclusions - The empirical analysis results of this study demonstrate the importance of disseminative capability and absorptive capacity in knowledge transfer to subsidiaries from the distributive manufacturing MNEs in Korea. The analysis on the moderating effect indicates that the specificity of technology in Korean companies influences on the process of making achievement by using the transferred knowledge.