• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2009년도 추계학술대회 논문집
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• pp.723-724
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• 2009

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2009년도 추계학술대회 논문집
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• pp.741-742
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• 2009

• 한국산업정보학회논문지
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• 제16권2호
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• pp.73-83
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• 2011

생산 시스템에 있어서 일정계획은 많은 비용이 투자된 생산설비 및 기계를 효율적으로 운영한다는 의미에서 매우 중요하다. 계획과 실행에서 오는 차이를 줄이기 위한 생산 시스템인 제조실행 시스템(Manufacturing Execution System : MES)의 효율성을 높이기 위해서 일정계획은 대상이 되는 작업의 특성에 적합한 일정계획 할당규칙 (Dispatching rule)에 대한 선정방법이 필요하다. 따라서 본 논문에서는 공정계획의 데이터에서 얻어지는 작업특정을 기반으로 시뮬레이션 (Simulation)을 진행하여 일정계획 할당규칙을 선정한다. 시뮬레이션을 통해 얻어진 정보를 지식기반 사례추론 방법론의 하나인 온톨로지(Ontology)로 구성함으로써 작업할당규칙 선정에 의한 적응형 일정계획 플랫폼을 개발한다. 구현하는 플랫폼은 특정 작업장에만 국한되지 않고 다양한 작업장에 적용시킬 수 있는 일정계획 시스템이라는 장점이 있다. 본 시스템 개발을 위해 온톨로지 추론 부분은 RacerPro와 Prot$\acute{e}$g$\acute{e}$를 이용하였으며, 일정계획 시뮬레이션은 JAVA와 FlexChart를 사용하였다.

• International Journal of Quality Innovation
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• 제6권3호
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• pp.70-94
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• 2005

The IC packaging industry heavily relies on shop floor information, necessitating the development of a model to flexibly define shop floor information and timely handle manufacturing data. This study presents a novel data model of product manufacturing flow to define shop floor information to effectively respond to accelerated developments in IC package industry. The proposed data model consists of four modules: operation template setup, general process setup, enhanced bill of manufacture (EBOMfr) setup, and work-order process setup. The data model can flexibly define the required shop floor information and decision rules for shop floor product manufacturing flow, allowing one to easily adopt changes of the product and on the shop floor. However, to handle floor dynamics of the IC packaging industry, this work also proposes a WIP (i.e. work-in-process) system for monitoring and controlling the product manufacturing flow on the shop floor. The WIP system integrates the data model with a WIP execution module. Furthermore, an illustrative example, the MIRL WIP System, developed by Mechanical Industrial Research Laboratories of Industrial Technology Research Institute, demonstrates the effectiveness of the proposed model.

• 산업경영시스템학회지
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• 제44권4호
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• pp.12-22
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• 2021

This article suggests the machine learning model, i.e., classifier, for predicting the production quality of free-machining 303-series stainless steel(STS303) small rolling wire rods according to the operating condition of the manufacturing process. For the development of the classifier, manufacturing data for 37 operating variables were collected from the manufacturing execution system(MES) of Company S, and the 12 types of derived variables were generated based on literature review and interviews with field experts. This research was performed with data preprocessing, exploratory data analysis, feature selection, machine learning modeling, and the evaluation of alternative models. In the preprocessing stage, missing values and outliers are removed, and oversampling using SMOTE(Synthetic oversampling technique) to resolve data imbalance. Features are selected by variable importance of LASSO(Least absolute shrinkage and selection operator) regression, extreme gradient boosting(XGBoost), and random forest models. Finally, logistic regression, support vector machine(SVM), random forest, and XGBoost are developed as a classifier to predict the adequate or defective products with new operating conditions. The optimal hyper-parameters for each model are investigated by the grid search and random search methods based on k-fold cross-validation. As a result of the experiment, XGBoost showed relatively high predictive performance compared to other models with an accuracy of 0.9929, specificity of 0.9372, F₁-score of 0.9963, and logarithmic loss of 0.0209. The classifier developed in this study is expected to improve productivity by enabling effective management of the manufacturing process for the STS303 small rolling wire rods.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 춘계학술대회 논문집
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• pp.1239-1242
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• 2003

The target of this paper is the manufacturing system of mould plant and the object of system development is the reduction of lead times and the improvement of product quality. From the existing MES framework. we found the module to apply in the mould plant, designed and developed the function of the module. Also. as the environment of development is based on internet, we can check and analysis correctly the status of mould plant from remote site.

• International Journal of Internet, Broadcasting and Communication
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• 제13권4호
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• pp.121-128
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• 2021

In order to design a real time big data collection and analysis system of manufacturing data in a smart factory, it is important to establish an appropriate wired/wireless communication system and protocol. This paper introduces the latest communication protocol, OPC-UA (Open Platform Communication Unified Architecture) based client/server function, applied user interface technology to configure a network for real-time data collection through IoT Integration. Then, Database is designed in MES (Manufacturing Execution System) based on the analysis table that reflects the user's requirements among the data extracted from the new cutting process automation process, bush inner diameter indentation measurement system and tool monitoring/inspection system. In summary, big data analysis system introduced in this paper performs SPC (statistical Process Control) analysis and visualization analysis with interface of OPC-UA-based wired/wireless communication. Through AI learning modeling with XGBoost (eXtream Gradient Boosting) and LR (Linear Regression) algorithm, quality and visualization analysis is carried out the storage and connection to the cloud.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2010년도 추계학술대회 논문집
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• pp.483-484
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• 2010

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2002년도 춘계학술대회 논문집
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• pp.213-221
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• 2002

e-비지니스환경에서의 SCM의 성공적인 추진을 위해서는 우선 e-business 전략과 Supply Chain 관리 전략의 상하 연계, 조직측면에 있어서의 경영자의 변화에 대한 혁신 능력과 리더쉽, 조직 구성원들과의 비전 공유, 저보기술(IT)을 활용한 보다 차별화된 서비스가 제공되어야 한다. 본 연구는 C기업의 사례로 통해, 기존의 SCM 기법에서 정보기술(IT)의 급속한 발달과 인터넷의 급속한 보급, 그리고 e-비지니스의 등장으로 인하여 경영환경의 변화라는 새로운 패러다임 하에서 다수의 경쟁기업, 정보 네트워크시스템 기반에서 보다 효과적으로 기업과 고객에게 대응하기 위한 기업의 구체적이고 실무적인 전략 측면에서 다루어 보았다는 데 그 의의가 있다. 소비재, 생활용품에 있어서 보다 빠른 납기, 보다 전문적이고 다양화되고 있는 고객의 욕구를 충족시키기 위해 제조기업 측면에서 어떻게 기존의 조직구조 및 업무 프로세스를 혁신 할 것인가를 실제 사례를 통하여 연구함으로써 동종 산업체나 또는 기업의 실무자들에게 있어 큰 도움이 될 것이다.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 1999년도 학술대회지 vol.2
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• pp.607-614
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• 1999

In this paper, we demonstrate the implementation case using component based development tool under development process for application developments. The tool suggested provides the programming environment for the development of distributed manufacturing applications primarily. The development tool is classified into visual component, logic component, data component, knowledge component, neural net component, and service component which is a core component for the support component edit and execution. We applied the tool to the domain of the design and routing plan to retrieve existing similar design models in database, initiate a model, generate a process plan, and store the new model in the database automatically. Utilizing the tool, it integrates a geometric modeler, engineering/manufacturing database, and knowledge sources over the Internet.