• 한국정밀공학회지
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• 제34권1호
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• pp.13-17
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• 2017

The sectors of the Root industry include casting, plastic works, welding, surface treatment, and heat treatment. While the industry is concerned with the processing technologies that are used in most of the manufacturing industries, the sophistication of the corresponding manufacturing information systems is very low. This paper describes a manufacturing information system for the building sector for which the smartphone devices that the workers use in their daily lives are employed, and where the cost of the adaption of the manufacturing system at their factories is minimized. The proposed system consists of the following three parts: UI composer, General Application, and Gateway.

• 한국IT서비스학회:학술대회논문집
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• 한국IT서비스학회 2002년도 창립기념 학술대회
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• pp.238-243
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• 2002

With the advancement of information technology and the proliferation of e-Business, CRM has been emerging as a powerful concept or strategy for dealing with customer relationship, though not a new concept. Most CRM applications have been focused on business situation where there are direct channels with customers, as in retailing and banking industry, etc. In this paper, we analyze the case of a manufacturing company where the primary concern lies on indirect channels management, such as selling agencies and distributors. Some issues related to the characteristics of the manufacturing company and the interface with ERP and SCM need to be investigated. Based on the consultation project with L company, we propose a successful CRM implementation strategy and point out some issues in implementing the CRM for a manufacturing company.

• 품질경영학회지
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• 제30권2호
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• pp.72-85
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• 2002

Advances in computer and sensor technology have made it possible to obtain superlarge manufacturing process data in real time, letting us extract meaningful information from these superlarge data sets. We propose a systematic data analysis procedure which field engineers can apply easily to manufacture quality products. The procedure consists of data cleaning and data analysis stages. Data cleaning stage is to construct a database suitable for statistical analysis from the original superlarge manufacturing process data. In the data analysis stage, we suggest a graphical easy-to-implement approach to extract practical information from the cleaned database. This study will help manufacturing companies to achieve six sigma quality.

• 에너지공학
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• 제26권3호
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• pp.11-29
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• 2017

인공지능 특히 심층신경망기계학습기법(딥러닝)의 제조업분야에서의 이용이 효율적이며 실용적일 수 있다는 인식이 넓게 수용되고 있다 이 보고서는 최근의 신경망기계학습 개발환경을 개관하고 제조업분야에서 활용되고 있는 딥 러닝기술을 개관한다.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 1998년도 The Korea Society for Simulation 98 춘계학술대회 논문집
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• pp.74-77
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• 1998

This paper presents a real design and implementation of an intelligent client-server equipment controller in computer-integrated manufacturing systems. An automated manufacturing process is commonly controlled by a number of PLC (Programmable Logic Controllers), which are attached to various equipments. A manufacturing cell consists of a set of equipments or workstation, which are also controlled by equipment or cell controller. We propose an intelligent equipment controller which has two function: one is to request (collect) an important information from each equipment and the other is to send the collected equipment information to the upper level controller (shop floor controller). Two-phase approaches are considered for the development of equipment client-server controller. The first events are generated virtually using computer simulation. Using the virtually generated activities, operating software of equipment server is developed. The second phase is to embed the virtually developed software (controller) into a real manufacturing system. The proposed methodology might be a novel design and implementation of a virtual simulator, which could be used for developing an intelligent equipment server.

• 산업경영시스템학회지
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• 제22권50호
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• pp.195-207
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• 1999

Classification and Coding(C&C) systems as a core of design information management have been accomplished by many studies in terms of design and manufacturing attribute based on Group Technology. Those are very difficult to apply in make-to-order(MTO) manufacturing because the environment of MTO has various characteristics of product, many licensors, engineering change, insufficiency of integrated management system for codes and so on. This paper presents a suitable C&C system to MTO manufacturing which consider management level and drawing. The steps of developing the C&C system are as follows: 1) analysis of existing coding system and drawing type; 2) design of C&C system; 3) practice of designed coding system to a field.

• 한국정보시스템학회:학술대회논문집
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• 한국정보시스템학회 2000년도 추계학술대회
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• pp.1.4-4
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• 2000

We present an autonomous distributed manufacturing system to plan the manufacturing process and the schedule based on a customer order, which considers the system efficiency as well as to the flexibly. In our system, an intermediate conceptual agent called process agent is introduced, of which the role is to create a plausible alternative for the working group to fulfill the given order. The process related decision such as process sequence, allocated facilities, schedule and cost is also made simultaneously. Given an order, several these process agents are created, and the optimum on is selected through a bidding mechanism. As a criterion of such a decision-making, we consider a concept of value which is determined by several factors such as cost, delivery, working ratio and so forth. Every agent consisting of the system makes decisions and actions so as to maximize its possessing value, and the overall behavior of the system is controlled by the value distribution.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 추계학술발표대회
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• pp.760-761
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• 2019

Smart manufacturing is a process of integrating computer-related technologies in production and by doing so, achieving more efficient production management. The recent development of supercomputers has led to the broad utilization of artificial intelligence (AI) and machine learning techniques useful in predicting specific patterns. Despite the usefulness of AI and machine learning techniques in smart manufacturing processes, there are many fundamental issues with the direct deployment of these technologies related to data management. In this paper, we focus on solving the outlier detection issue in smart manufacturing applications. More specifically, we apply a state-of-the-art outlier detection technique, called Elliptic Envelope, to detect anomalies in simulation-based collected data.

• 디지털융복합연구
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• 제11권4호
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• pp.235-241
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• 2013

경영환경의 글로벌화와 급속한 기술 발전 속에서 자금력이 부족한 중소기업에게 기술력과 정보력은 무기가 되고, 기업의 경쟁력 강화와 경영혁신을 위하여 정보화는 가장 효율적이면서도 강력한 경영수단이 된다. 이에 따라 대부분의 중소 제조기업들이 정보화를 추진하기 위해서 ERP시스템을 도입한다. 그러나 ERP 시스템 도입에 따른 가시적인 성과를 드러낸 사례는 그렇게 많지 않은 것이 현실이다. 따라서 본 연구에서는 국내 중소 제조기업의 정보화 경영체제 구축 방안에 대해 살펴보고 수립된 구축 전략을 바탕으로 국내 중소 제조기업에 적용하였다. 특히, 중소기업과 제조기업이라는 특성을 고려한 정보화경영체제 전략을 수립하여 적용하였다.

• 디지털융복합연구
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• 제12권2호
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• pp.295-300
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• 2014

정보화 사회에서 디지털이라는 단어와 결합된 컨버전스는 정보통신 분야의 단위기술들의 융합을 통해 등장하는 새로운 제품이나 서비스를 일컫고 있다. 이러한 컨버전스 기술의 파급효과 및 컨버전스 사회의 현상들은 이미 경제, 사회, 문화등 사회의 전 부분에서 가시화되고 있다. 최근 제조생산 현장은 디지털 정보화, 전역 통합화를 통해서 생산 고도화를 향한 새로운 변화에 직면해 있다. 본 논문은 현재 진행 중인 생산정보화 시스템의 구성 및 이슈를 기술하고, MES에서 접근하고 있는 클라우드 서비스 시스템을 구축하기 위한 주요한 이슈 및 해결 요소들을 제시한다. 또한 최적화된 생산 흐름과 소비 시장에 적절히 반응하는 제조생산 정보화시스템을 구축하기 위한 방안을 제안한다.