• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2010년도 춘계학술대회 논문집
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• pp.69-70
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• 2010

• 한국정보시스템학회지:정보시스템연구
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• 제26권2호
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• pp.105-121
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• 2017

Purpose It is a major goal to improve the product yields during production operations in the manufacturing industry. Therefore, factory is trying to keep the good quality materials and proper production resources, also find the proper condition of facilities and manufacturing environment for yields improvement. Design/methodology/approach We propose the hybrid framework to analyze to dataset extracted from MES. Those data is about the alarm information generated from equipment, both measurement and equipment process value from production and cycle/pitch time measured from production data these covered products during production. We adapt a data warehousing techniques for organizing dataset, a logistic regression for finding out the significant factors, and a association analysis for drawing the rules which affect the product yields. And then we validate the framework by applying the real data generated from the discrete process in secondary cell battery manufacturing. Findings This paper deals with challenges to apply the full potential of modeling and simulation within CPPS(Cyber-Physical Production System) and Smart Factory implementation. The framework is being applied in one of the most advanced and complex industrial sectors like semiconductor, display, and automotive industry.

• Advances in Computational Design
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• 제4권1호
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• pp.43-52
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• 2019

Variation Analysis (VA) is used to simulate final product variation, taking into consideration part manufacturing and assembly variations. In VA, all the manufacturing and assembly processes are defined at the product design stage. Process Capability Data Bases (PCDB) provide information about measured variation from previous products and processes and allow the designer to apply this to the new product. A new challenge to this traditional approach is posed by the Industry 4.0 (I4.0) revolution, where Smart Manufacturing (SM) is applied. The manufacturing intelligence and adaptability characteristics of SM make present PCDBs obsolete. Current tolerance analysis methods, which are made for discrete assembly products, are also challenged. This paper discusses the differences expected in future factories relevant to VA, and the approaches required to meet this challenge. Current processes are mapped using I4.0 philosophy and gaps are analysed for potential approaches for tolerance analysis tools. Matching points of simulation capability and I4.0 intents are identified as opportunities. Applying conditional variations, incorporating levels of adjustability, and the un-suitability of present Monte Carlo simulation due to changed mass production characteristics, are considered as major challenges. Opportunities including predicting residual stresses in the final product and linking them to product deterioration, calculating non-dimensional performances and extending simulations for process manufactured products, such as drugs, food products etc. are additional winning aspects for next generation VA tools.

• 유통과학연구
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• 제20권5호
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• pp.1-11
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• 2022

Purpose: This study attemptsto investigate the moderating effects of environmental turbulence (ET) between learning orientation (LO) and SMEs' performance. Research design, data, and Methodology: To gain insights and provide implications for manufacturing SMEs in Pakistan, this study adopted simple random sampling to collect 379 valid responses. Data were collected through a self-administrative questionnaire from manufacturing SMEs owners/managers. Partial least squares of structural equation modeling have been used to test research hypotheses by using SmartPLS® 3.0 software. Results: The study's primary finding is that LO has a significantly positive effect on SMEs' performance and this relationship is strengthened under the moderating influence of environmental turbulence (ET). Conclusion: Environmental turbulence (ET) enables SMEs to focus on learning capability to get a more competitive advantage. Moreover, SMEs owner/managers ought to emphasize continuous learning that accentuates the capability to compete with environmental changes. Findings support notifying Pakistan's Small and Medium Enterprise Development Authority (SMEDA) in dealings with Manufacturing SMEs in terms of improving their internal capabilities. This research contributes to the literature as it provides a more detailed and in-depth explanation of distribution management-related issues faced by SMEs. This research carries a significant influence on literature and relevant Resource-based view and contingency theories.

• Asia Pacific Journal of Business Review
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• 제6권2호
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• pp.1-26
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• 2022

This study uses the human resource management (HRM) practice and ability, motivation, and opportunities (AMO) theory and corporate social and environmental responsibility, to explore the effects of environmental responsible human resource management practice (ER-HRM) on energy-intensive manufacturing's green technology innovation and organizational effectiveness. A self-completed questionnaire was administered to managers of energy-intensive manufacturing in the Lao PDR. The data was collected from 198 managers of energy-intensive manufacturing for analysis. We used structural equation modeling (SEM) by smart PLS 3.0 to test the hypotheses in this research. The findings have shown a strong direct and positive impact of the environmental ability, motivation, and opportunity of ER-HRM practice on green technology innovation and organizational effectiveness. The ability of ER-HRM practice has the highest influence on green technology innovation and organizational effectiveness. The findings also prove the partial mediation of green technology innovation links ER-HRM with organizational effectiveness. This research is expected to identify the influences of ER-HRM in energy-intensive manufacturing to achieve innovation and performance while reducing emissions.

• 한국기계가공학회지
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• 제21권2호
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• pp.137-143
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• 2022

Composite materials, being light-weight and of high mechanical strength, are increasingly used in various industries such as the aerospace, automobile, sporting-goods manufacturing, and ship-building industries. Recently, manufacturing of composite materials using 3D printers has increased. 3D-printed composite materials are made in free-form and adapted for end-use by adjusting the fiber content and orientation. However, research on the machining of 3D printed composite materials is limited. The aim of this study is to develop a machine learning method to select machining conditions for machining of 3D-printed composite materials. The composite material was composed of Onyx and carbon fibers and stacked sequentially. The experiments were performed using the following machining conditions: spindle speed, feed rate, depth of cut, and machining direction. Cutting forces of the different machining conditions were measured by milling the composite materials. PCA, a method of machine learning, was developed to select the machining conditions and will be used in subsequent experiments under various machining conditions.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.78-81
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• 2021

스마트공장 구축사업을 통해 제조업의 생산설비에 센서가 설치되고 각종 공정데이터를 실시간으로 수집할 수 있게 되었다. 이를 통해 제조공정의 설비이상으로 인한 생산중단을 줄이기 위해 실시간 설비 이상 탐지에 대한 연구가 활발히 진행되고 있다. 본 논문에서는 생산설비의 이상탐지를 위해 제조데이터를 딥러닝 모델인 Autoencoder(AE), VAE(Variational Autoencoder), AAE(Adversarial Autoencoder)에 적용하여 그 결과를 도출하였다. 제조데이터는 단순 이동 평균 기법과 전처리 과정을 거쳐 입력데이터로 사용하였으며, 단순이동평균 기법의 윈도우 크기와 AE 모델의 특징벡터 크기에 따른 성능분석을 실시하였다.

• 통상정보연구
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• 제14권3호
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• pp.113-138
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• 2012

본 연구는 우리나라 중소제조기업의 수출성과 결정요인을 살펴보았다. 우선 기존 연구를 살펴보고, 수출성과 선행요인으로 기업가정신과 제품차별화 역량을 설정하였다. 또한, 수출성과의 선행요인으로서 제품차별화 역량을 기업가정신과 수출성과의 매개요인으로 분석하였다. 이로써, 기업가정신, 제품차별화 역량 그리고 수출성과의 통합적 모형을 구축하고 그 관계를 살펴보는 것을 연구의 목적으로 하였다. 실증분석에서는 국내 중소제조 수출기업 152개 표본에 PLS(Partial Least Square) 분석을 이용하였다. 분석도구는 SmartPLS2.0을 사용하였다. 분석 결과 중소제조기업 기업가의 위험감수성과 혁신성은 제품차별화 역량과 수출성과에 모두 긍정적 영향을 미쳤다. 제품차별화 역량 역시 중소제조 수출기업의 수출성과에 긍정적 영향을 준다는 점을 확인하였다. 매개효과 분석에서는 제품차별화 역량이 기업가정신 중 혁신성과 수출성과 사이에 유의한 매개효과를 나타냈다. 그러나 위험감수성에는 유의한 매개효과를 나타내지 못했다. 이러한 결과는 중소제조 수출기업에 제품차별화 역량이 필요할수록 적극적으로 혁신성향을 추구해야 한다는 점을 시사한다. 즉, 제품차별화를 시도할 때 위험감수성보다 혁신성향을 강조하는 것이 의미가 있음을 보여준다. 이에 본 연구는 제품차별화 역량의 매개효과를 분석한 점에서 동적역량이나 경쟁우위 관점에서 중소제조기업의 수출성과를 살펴보려는 연구에 이론적 시사점을 가진다. 또한, 중소제조 기업 경영자에게는 위험감수성과 혁신성의 역할이 모두 중요하지만, 낯선 환경의 외국시장 경쟁에 필요한 제품차별화 역량에는 혁신성향의 역할에 더 주목해야 한다는 실무적 시사점을 제시한다.

• Smart Structures and Systems
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• 제24권5호
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• pp.659-668
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• 2019

In digital image correlation, speckle image is closely related to the measurement accuracy. A practical global evaluation criterion for speckle image is presented. Firstly, based on the essential factors of the texture image, both the average particle size and image sharpness are used for the assessment of speckle image. The former is calculated by a simplified auto-covariance function and Gaussian fitting, and the latter by focusing function. Secondly, the computation of the average particle size and image sharpness is verified by numerical simulation. The influence of these two evaluation parameters on mean deviation and standard deviation is discussed. Then, a physical model from speckle projection to image acquisition is established. The two evaluation parameters can be mapped to the physical devices, which demonstrate that the proposed evaluation method is reasonable. Finally, the engineering application of the evaluation method is pointed out.

• 한국기계가공학회지
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• 제20권1호
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• pp.110-115
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• 2021

A multi-band, compact, and complex vehicle roof antenna has become important in terms of car exterior design and multi-functions which include Radio, DAB/DMB, SXM, GNSS, Telematics, and V2X. In this paper, we propose a compact multi-band V2X pole-type roof antenna. Using impedance change characteristic, a single pole antenna which has multiband such as radio, DAB/DMB, telematics, and V2X band is proposed. With two patch antennas for GNSS and SXM, the dimension of a multiband roof antenna is 131x63x37mm only.