• Proceedings of the Korean Operations and Management Science Society Conference
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• 2008.10a
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• pp.286-289
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• 2008

Production Information System make it possible to check and control the information of manufacturing processes. Based on this information companies are able to act to the price strategy and marketing strategy timely. In this study we will examine developing the MES(Manufacturing Execution System) as Production Information System in the Automobile Shock Absorber Piston rod Manufacturing Process of which processes are composed of heat treatment, lathing, grooving, milling, rolling, inspection and packing processes in order to control its production information efficiently.

• Journal of Information Technology Services
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• v.8 no.4
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• pp.165-174
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• 2009

This paper outlines opportunities and challenges in the implementation of BPEL based WFMS(WorkFlow Management System) for the MES(Manufacturing Execution Systems) in semiconductor manufacturing. At present, the most MESs in semiconductor wafer fabrication shop have the problems in terms of application software integration, reactivity, and adaptability. When a plant has to produce new product mix, remodel the manufacturing execution process, or replace obsolete equipments, the principal road blocks for responding to new manufacturing environment are the difficulties in porting existing application software to new configurations. In this paper, the issues about WFMS technologies including BPEL standard applied for MES are presented. And then, we introduce the integrated development framework named nanoFlow which is optimized for developing the BPEL based WFMS application for automated manufacturing system. And we describe a WFMS implemented with using nanoFlow framework, review and evaluate the system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.5
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• pp.2038-2047
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• 2011

This paper presents a framework for production planning for a Slim MES(Manufacturing Execution System) of module operations in TFT-LCD(Thin Film Transistor-Liquid Crystal Display) production lines. There are differences in the line configurations and functions among the module operations in the TFT-LCD production systems. This paper presents the framework for the customized MES reflecting these differences. First, a production process is figured out through the analysis of the TFT-LCD module operations. Next, a mathematical modeling is presented reflecting the constraints of shop floors and an optimal schedule is presented through a case example. And a scheduling process using the dispatching rules reflecting the status of shop floors is presented and the performances are measured and compared. Finally, a design process for the Slim MES framework is presented.

• Journal of the Korea Society of Computer and Information
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• v.11 no.5 s.43
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• pp.211-221
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• 2006

Manufacturing Execution System(MES) immediately enables users to share the information of systems industrywide, efficiently manages synthetic information with data collection through treating the data in a fast way, and helps their decision-making. MES for real-time information processing requires certain conditions such as data modeling of RFID, which has recently attracted attentions, and monitoring of each product unit from manufacture to sales. However, in the middle of processing the unit with a RFID tag, transponders(readers) can't often read the tag due to reader's malfunctions, intentional damages, loss and the circumstantial effects; for that reason, users are unable to confirm the location of the product unit. In this case, users cannot avoid tracing the path of units with uncertain clues. In this paper we suggest that the unique MES based on RFID and Bayesian Network can immediately track the product unit, and show how to evaluate it.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.215-224
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• 2005

It is a fundamental requirement for the medium-sized manufacturing company with multiple-types of products and mixed process flows to have a real time feedback system for systematic production scheduling and process control to maximize the productivity and delivery achievement. However it is very inferior in actual condition to make infrastructure for a systematic production scheduling and process control in middle-sized manufacturing company, Proposed in this paper is an MES implementation approach for the successful construction of MES infrastructure, implementation and operation in medium-sized manufacturing companies with multiple-types of products and mixed process flows.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.11a
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• pp.463-464
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• 2010

• 한국연소학회:학술대회논문집
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• 2004.06a
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• pp.314-328
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• 2004

Mitsui Engineering and Shipbuilding Co., Ltd. (MES) has completed Recycling 21 (R21) pyrolysis and melting technology for municipal solid wastes. The basic technology is licensed from Siemens, but MES has made major improvements to the design and operation of the R21 system Consequently, up to now, MES has been completed six (6) R21 plants in Japan. The following text will provide a brief overview of the design & operating features of R21 technology, focused on the reliability of system and low emission of hazardous material, which have been proved by the successful construction & operation experience of the plants.

• Journal of Korea Multimedia Society
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• v.17 no.7
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• pp.858-865
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• 2014

In the case of system like MES, various sensors collect the data in real time and save it as a big data to monitor the process. However, if there is big data mining in distributed computing system, whole processing process can be improved. In this paper, system to analyze the cause of operation deviation was built using the big data which has been collected from deasphalting process at the two different plants. By applying multivariate statistical analysis to the big data which has been collected through MES(Manufacturing Execution System), main cause of operation deviation was analyzed. We present the example of analyzing the operation deviation of deasphalting process using the big data which collected from MES by using multivariate statistics analysis method. As a result of regression analysis of the forward stepwise method, regression equation has been found which can explain 52% increase of performance compare to existing model. Through this suggested method, the existing petrochemical process can be replaced which is manual analysis method and has the risk of being subjective according to the tester. The new method can provide the objective analysis method based on numbers and statistic.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.295-300
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• 2014

In information society, Convergence was combined with a word 'digital'. Digital convergence means a service or new product which appeared through fusion of unit technologies in information and communication regions. The effects of convergence technologies and social phenomenons are visualized in overall regions of society such as economy, society, culture, etc. Nowadays, manufacturing field are facing new challenges, through digital information and global integration, toward sophisticated production. This paper presents the system configuration and issues of current manufacturing execution system(MES), and describes major issues and solving elements to establish a MES system for cloud services. Also, we propose a method for building a manufacturing information system to have the optimized production flow and to respond appropriately to consumer market.

• Journal of the Korea Safety Management & Science
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• v.14 no.4
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• pp.259-264
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• 2012

Automobile market was grown up by 1.7% at the first half of 2012 comparison with 2011 in China and this growth trend will be continued for a while. Under this market environment the China automobile companies expand the production capacity and result in heightening the intense competition for companies. This paper deals with the more efficient production line and production logistics through SPS(Synchronized Production System) with construction of MES(Manufacturing Execution System) in H automobile company in China. In plastic painting line we can simultaneously prepare the production quantity and delivery time according to assembly production plan by introducing MES. We can reduce the excess production and result in extreme reduction of inventory.