• Journal of information and communication convergence engineering
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• 제20권4호
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• pp.295-302
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• 2022

This paper contains the development of a smart power device designed to collect load power data from industrial manufacturing machines, predict future variations in load power data, and detect abnormal data in advance by applying a machine learning-based prediction algorithm. The proposed load power data prediction model is implemented using a Long Short-Term Memory (LSTM) algorithm with high accuracy and relatively low complexity. The Flask and REST API are used to provide prediction results to users in a graphical interface. In addition, we present the results of experiments conducted to evaluate the performance of the proposed approach, which show that our model exhibited the highest accuracy compared with Multilayer Perceptron (MLP), Random Forest (RF), and Support Vector Machine (SVM) models. Moreover, we expect our method's accuracy could be improved by further optimizing the hyperparameter values and training the model for a longer period of time using a larger amount of data.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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• pp.704-706
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• 1991

In CAD/CAM system, many efforts are made to automate the converting process from drawling information to manufacturing Information. The most difficult step In this procedure is utilizing 2 dimensional drawing information In order to formulate 3 dimensional w&ling information. This paper emphasizes to mWe automatically series of convertirg steps which provide 3 dimensional wire frame, surface and solid modeling using feature recognition rules. With the standardization of design process and the recognition rule as preceding steps, it shows a good application tool to interface the design and manufacturing procedures in PC-Level CAD/CAM system.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2002년도 춘계학술대회 논문집
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• pp.575-578
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• 2002

With the paradigm shifting from the principal of manufacturing efficiency to business globalization and rapid adaptation to its environments, more and more enterprises are being virtually organized as manufacturing network of different units in web. The formation of these enterprise called as Virtual Enterprise(VE) is becoming a growing trend as enterprises concentrating on core competence and economic benefit. This paper proposes the cooperation methodology for VEs which can be organized by the selection of manufacturing partners, and managed by the information flow infrastructure.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2007년도 하계학술발표대회 논문집
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• pp.212-212
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• 2007

• 경영과학
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• 제10권2호
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• pp.93-110
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• 1993

Since the manufacturing machines containing information processing capacity by development of ME technology are developed and distributed from the advanced nations, manufacturing automation with manufacturing method which keeps flexibility and productivity is supplied broadly. An introduction of manufacturing automation technology is necessary to solve difficult domestic industry environment due to international competitiveness weakness of products. The aim of this is to search for the successful factors of the manufacturing business which uses too much technology of manufacturing automation and to observe the difference of the successful factors which influence to introduction performance according to the introduction type of automation technology and the strategic type through the empirical analysis.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2003년도 추계학술대회
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• pp.30-35
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• 2003

Recently, with the rapid growth of information technology, many studies have been performed to implement web-based manufacturing system. Such technologies are expected to meet the need of many manufacturing industries those want to adopt E-manufacturing system for the construction of globalization, agility, digitalization to cope with the rapid changing market requirements. In this research, areal-time web-based machine tool and machining process monitoring system is developed as a first step fur implementing I-manufacturing system. In this system, main spindle motor current and feed current are measured using hall sensors. And the relationship between the cutting force and the spindle motor RMS current at various spindle rotational speed is obtained. Also, a rule-based expert system is developed in order to monitor the machining process effectively. Finally, developed system is applied to real machining process to verify the effectiveness.

• 한국CDE학회논문집
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• 제21권3호
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• pp.215-223
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• 2016

The low price around 1000 USD makes consumer 3D printers as a new additive manufacturing platform for the personal manufacturing where consumers can make and sell their own products. To allow the consumers to design and manufacture their products, not only economic 3D printers but also supporting information systems for their design and manufacturing are essential. This study suggests an extended product data management (PDM) system that can support both the design and manufacturing of personal products with consumer 3D printing services. This extended PDM system helps consumer designers use advanced PDM technologies for their design and connected 3D printing services with Internet of Things (IoT) technology for realization of their products. As a result, the proposed system supports the consumer designers a seamless integrated product development and manufacturing environment supported by PDM and consumer 3D printing services.

• 산업경영시스템학회지
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• 제26권1호
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• pp.74-78
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• 2003

This paper is an investigation of comparative and contrasting characteristics of service in manufacturing sector - especially quality aspects. A review of both service and manufacturing industries' systems literature revealed conflicting views on defining two different industries and its system assessment. While some researchers have documented the value of service IS implementations on both industries, there are others who feel that such implementations are not appropriate for all situations or all organizations. Because of IS implementations and IT improvement, defining service and manufacturing is blur than ever. There is a dearth of literature on the assessment of service systems in service and manufacturing industries due to blurred and controversial argument.

• 한국IT서비스학회지
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• 제20권3호
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• pp.13-25
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• 2021

The article presents the results of how employee's hierarchical job roles differently recognize a SM(smart manufacturing) and evaluate comprehensively on the SM employees training. The research was focus on small and medium size manufacturing corporation in Banwol·Siwha industrial complex, where is carried out Smart Complex National Policy. The Results from 205 participants working for a manufacturing firms in the Banwol·Siwha industrial complex. The results of study show that managers (vs workers) group is higher recognition of smart manufacturing and more intention to participate a SM employee training and utilize a SM equipments for test a manufacturing process. and these variables were mediated by SM cognition. These results will help SM manpower training center strategically design their training programs to maximize the training effectiveness.

• 한국콘텐츠학회논문지
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• 제14권10호
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• pp.218-226
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• 2014

상황이론을 바탕으로 유연성, 전략유형, 정보특성이 생산성과에 미치는 영향관계를 실증분석을 통해 규명하고자 하였다. 유연성에는 제품유연성, 믹스유연성을 적용하였고, 전략유형에는 저원가전략과 차별화전략을 적용하였다. 정보특성에는 재무적 정보와 비재무적 정보를 적용하였으며, 성과는 생산성과를 적용하였다. 연구결과, 제품유연성은 차별화전략에 유의적인 영향을 미치고, 믹스유연성은 저원가전략에 유의적인 영향을 미치는 것으로 나타났다. 전략 중 재무정보와 비재무적정보에 유의적인 영향을 미치는 것은 저원가전략만이 유의적인 영향을 미치는 것으로 나타났다. 재무정보와 비재무정보는 생산성과에 유의적인 영향을 미치는 것으로 파악되었다. 믹스유연성은 재무정보와 비재무정보에 간접적인 영향을 미치고 있고, 또한, 믹스유연성은 생산성과에도 간접적인 영향을 미치는 것으로 파악되었다.