• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.733-737
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• 2008

Construction supply chain management focused on materials in construction industry plays a critical role which controls the success and failure of a project. For the efficiency of construction supply chain management, the framework which provides project participants with the information originated from whole construction logistics steps without the omission and discontinuation of information flow is required. The new management framework that can support this environment is necessary because of setting up the complicated and distributed environment including logistics information management by intelligent equipment, co-working management with pre-framework legacy system and various devices(UMPC and PDA etc.) as the information confirmation and electrical transmission tool between the project participants different from former construction supply chain management environment while recently developing ubiquitous technologies such as RFID/USN and intelligent equipment to support logistics process. Therefore, the objective of this study is to introduce the concept of SOA (Service Oriented Architecture) as an alternative of effective information integration under the complex and distributed environment and to propose the SOA-based application model for building intelligent construction supply chain management framework.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.7 no.4
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• pp.42-49
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• 1998

This wear debris can be harvested from the lubricants of operating machinery and its morphology is directly related to the damage to the interacting surface from which the particles originated. The morphological identification of wear debris can therefore provide very early detection of a fault and can also often facilitate a diagnosis. The purpose of this study is to attempt the developement of intelligent system for moving condition diagnosis of the machine driving system. The four shape parameter(50% volumetric diameter, aspect, roundness and reflectivity) of war debris are used as inputs to the neural network and learned the moving condition of five values(material3, applied load 1, sliding distance 1). It is shown that identification results depend on the ranges of these shape parameter learned. The three kinds of the wear debris had a different pattern characteristics and recognized the moving condition and materials very well by neural network.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.9 no.6
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• pp.19-33
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• 2000

In this paper, we propose anew approach to the development of the automatic vision system to examine and repair the steam generator tubes at remote distance. In nuclear power plants, workers are reluctant of works in steam generator because of the high radiation environment and limited working space. It is strongly recommended that the examination and maintenance works be done by an automatic system for the protection of the operator from the radiation exposure. Digital signal processors are used in implementing real time recognition and examination of steam generator tubes in the proposed vision system. Performance of proposed digital vision system is illustrated by simulation and experiment for similar steam generator model.

• Journal of the Korean Society of Systems Engineering
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• v.17 no.2
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• pp.1-8
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• 2021

This study proposes a systems engineering approach for the development of an advanced planning & scheduling (APS) system for a cosmetic case manufacturing factory. The APS system makes production plans and schedules based on the injection process, which consists of 27 plastic injection machines in parallel to control recommended inventory of products. The system uses machine operation/failure information and defective product/work-in-process tracking information to support intelligent scheduling. Furthermore, a genetic algorithm model is applied to handle the complexity of heuristic rules and machine/quality constraints in this process. As a result of the development, the recommended inventory compliance rate is improved by scheduling the 30-day production plan for 15 main products.

• The KIPS Transactions:PartD
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• v.16D no.4
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• pp.621-630
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• 2009

In recent years, there have been many attempts to connect the latest RFID (Radio Frequency Identification) technology with EIS (Enterprise Information System) and utilize them. However, in most cases the focus is only on the simultaneous multiple reading capability of the RFID technology neglecting the management of massive data created from the reader. As a result, it is difficult to obtain time-related information such as flow prediction and analysis in process control. In this paper, we suggest a new method called 'procedure tree', an enhanced and complementary version of PathTree which is one of RFID data mining techniques, to manage massive RFID data sets effectively and to perform a real-time process control efficiently. We will evaluate efficiency of the proposed system after applying real-time process management system connected with the RFID-based EIS. Through the suggested method, we are able to perform such tasks as prediction or tracking of process flow for real-time process control and inventory management efficiently which the existing RFID-based production system could not have done.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.2
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• pp.230-235
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• 2008

Recently, LG chemical corporation developed new material called HYPERIER, which has an excellent barrier characteristic. It has many layers which are made of nano-composite within LDPE(Low-Density Poly Ethylene). In order to guarantee the quality of the final product from the production line, a certain test equipment is required to investigate the existence of layers inside the HYPERIER. In this work, ultrasonic sensor based test equipment for investigating the existence of inner layers is proposed. However, it is a tedious job for human operators to check the existence by just looking at the resounding waveform from ultrasonic sensor. Therefore, to enhance the performance of the ultrasonic test equipment, Fast Fourier Transform(FFT) and Principle Components Analysis(PCA) and Back-Propagation Neural Network(BPNN) are utilized which is used for classification of Quality. To verily the feasibility of the proposed scheme, some experiments are executed.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.1
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• pp.70-75
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• 2018

Smart Factory is an intelligent factory that can enhance productivity, quality, customer satisfaction, etc. by applying information and communications technology to the entire production process including design & development, manufacture, and distribution & logistics. The precise amount of data generated in a smart factory varies depending on the factory's size and state of facilities. Regardless, it would be difficult to apply traditional production management systems to a smart factory environment, as it generates vast amounts of data. For this reason, the need for a distributed big-data processing system has risen, which can process a large amount of data. Therefore, this article has designed a Gluster File System (GlusterFS)-based distributed big-data processing system that can be used in a smart factory environment. Compared to existing distributed processing systems, the proposed distributed big-data processing system reduces the system load and the risk of data loss through the distribution and management of network traffic.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.3
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• pp.16-23
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• 2014

Most of metal cutting and processing companies are going through the difficulties such as frequent downtime and high failure rates by missing times to replace parts of CNC equipment. The reason is that the correct operation times of expensive CNC equipment can't be calculated. In this paper, to solve this problem, we try to construct the intelligent production information system for a case company and analyze its expected effects. The effects are as follows. First, it saves money about 3 million won each year during the useful life of three years by reducing downtime and failure rates, and increasing production rates etc. Second, it makes easily find and fix the cause of faulty through traceability of the production process, and enables to perform a systematic facility management through the calculation of reliable equipment's overall efficiency. This case can be easily applied in similar industries, and will contribute greatly to enhancing the competitiveness of related industries.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.639-639
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• 2015

최근 지식정보 사회는 IT가 핵심 구성요소인 스마트 사회로 변모하고 있으며, 인간과 사물 간 의사소통에서 사물과 사물 간 의사소통까지 확장하고, IT간 융합에서 나아가 타 산업과 융합하는 지능형 사회로 나아가고 있다. '공간'에 대한 정보는 '시간'과 함께 인간이 생활하는데 있어 반드시 알아야 하는 가장 근본적인 정보로써, 공간에서 발생하는 정보를 기반으로 다른 사람들과 소통을 하고 목적을 충족함으로써 삶의 질을 향상시킨다. 현대 사회에서 공간정보는 중요한 인프라 가치를 증대시키므로 새로운 사회 패러다임 전환을 위한 필수적인 요소라 할 수 있다. 따라서 본 연구에서는 수재해 정보 플랫폼 구현에 앞서 사용자의 니즈를 만족시키고 효용가치 증대가 가능하도록 공간정보서비스 활용 방안 연구를 하고자 한다. 공간정보는 시대의 흐름에 따라 형태 및 생산?활용방법이 달라졌으나 항상 중요한 정보로 인식되어 왔으며, 미래 공간정보는 단순 콘텐츠 영역을 뛰어넘어 상황(Context)정보까지 범위를 확장하였다. (1)미국의 공간정보는 시설, 기록관리 및 지도와 같은 공공분야에서 현재는 업무통합관리, 의사결정지원 등에서 데이터 웨어하우스(Data Warehouse)로서의 역할 담당한다. (2)일본은 아시아 최고의 원천기술력을 보유하고 있으며, 높은 수준의 GIS, RS(위성항측), ITS(지능형 교통 시스템) 기술을 기반으로 하고 있다. (3)영국은 지리정보시스템과 공공서비스를 접목하여 시민의 요구에 부응하는 고객맞춤형서비스 제공을 국가정보화의 우선과제로 선정하고 있다. (4)우리나라는 초고속통신망과 모바일 기술 등 세계 최고 수준의 인프라를 확보하고 있어, 이러한 인프라 기반융 복합 공간정보서비스를 이용하는데 안정적인 기반을 확보하고 있다. 본 연구는 국내외 공간정보서비스의 패러다임 변화 및 추진 동향 등을 제시하였으며, 수재해정보 플랫폼 활용에 능동적 적극적으로 접근할 수 있는 기반을 마련하였다. 공간정보서비스를 활용하여 커뮤니케이션 강화, 수재해 정보 서비스의 효율성 증진, 재해부문 선진화 측면에서 발전적 영향을 미칠 수 있으며, 특히 각종 현안에 대한 미래 예측 및 대응에 기여할 것으로 판단된다.

• Journal of the Korea Society of Computer and Information
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• v.16 no.6
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• pp.165-178
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• 2011

A gigantic ship is constructed by assembling various types of ship blocks, each block being made by cutting and piecing the steel-plates together. The steel-plate piling process as the initial stage of ship construction sorts and manages the steel-plates according to the ship blocks that the steel-plates are used to make. The steel-plate piling process poses some problems such as process delay due to piling errors, safety vulnerability due to the handling of extra heavy-weight objects, and the uncertainty of work plan due to lack of information management in the pile spaces. We constructed a steel-plate piling process system based on the context-aware computing to resolve such problems. We built simulation system that can simulate the piling process and then established a smart space within the system by using tags, sensors and a real-time location system in order to collect context information. Workers receive an appropriate or intelligent service from the system.