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Featured researches published by Jai-Kyung Lee.
Transactions of The Korean Society of Mechanical Engineers A | 2011
Seung-Woo Lee; Jai-Kyung Lee; So Jung Nam; Jong Kweon Park
. Abstract: The manufacturing execution system (MES) for product production handles different production processes according to the product characteristics and different types of data according to the process being considered. For efficiently providing the data pertaining to production equipment to production systems such as the MES, data collection through the equipment interface is required for obtaining the production data pertaining to field equipment. In this paper, a method is proposed for collecting the production data through the equipment interface in order to collect the various types of production-equipment data from the field. The proposed method is applied to a real manufacturing system to verify its efficiency. A more powerful MES can be constructed with a data acquisition system that acquires the status data at the shop-floor level.
Transactions of The Korean Society of Mechanical Engineers A | 2011
So Jeong Nam; Jai-Kyung Lee; Sung Woo Lee; Jong Kweon Park
There is much information of equipment in shop floor because the manufacturing processes are different as the equipment within the manufacturing process is varied. To provide effective process information to MES and other production systems, the DAS requires an equipment monitoring system that takes into account the characteristics of the equipment on the shop floor. In this study, we proposed some methods for collecting the required information about various equipments on a shop floor. The equipments such as CNC can be interfaced with the DAS by using a PLC-based method and a sensor-based interface board can be used to interface general equipments. The proposed methods can be used to collect information on the shop floor in real-time. Moreover these methods are very adaptive and can be easily modified according to the changes made to the shop floor. The information about a real shop floor acquired by employing these methods is saved in a database and the can be provided to a supervisor and MES so that they are aware of the status of the shop floor.
Transactions of The Korean Society of Mechanical Engineers A | 2011
Jai-Kyung Lee; Seung-Woo Lee; So Jeong Nam; Jong Kweon Park
The processes for manufacturing a product differ depending on the characteristics of the product, and the information used or generated by the processes also varies. To implement a flexible and configurable Manufacturing Execution System (MES), a Data Acquisition System (DAS) that takes into consideration the characteristics of the manufacturing system is required. In this study, we design an information acquisition system that can process the information on equipments of a shop floor in real-time and that is adaptive to the changes in the shop floor. The system has a data parser module for flexible processing of the equipment status, a data mapper module to link the equipment status with a manufacturing process, and an SOA-based data integration module to transmit the processed information to other information systems such as MES and ERP. From the results of pilot study, its maintenance is easy even if new equipment or new manufacturing processes are adopted or if the equipments are rearranged.
annual conference on computers | 2010
Jai-Kyung Lee; Seung-Woo Lee; So Jeong Nam; Jong Kweon Park
The manufacturing processes in a product are different according to the characteristics of the product and the information within the process is also varied. To implement the flexible MES, the Data Acquisition System (DAS) considering the characteristics of manufacturing system is needed. In this paper, we introduced the design of the equipment information acquisition system that can process the information of shop floor in real-time and adaptive to the changes of shop floor. The proposed system is the bridge between the shop floor and the Manufacturing Execution System (MES). It provides the MES the shop floor information between the work order and the results of work performance. The proposed system provides a data parser module to process equipment status in a flexible manner and a data mapper module to couple the equipment status to a manufacturing process and a SOA-based data integration module to link the processed shop floor information to upper system such as MES and ERP. The system is highly configurable system and easy to maintain even if new equipment or manufacturing process is inserted or re-arranged
annual conference on computers | 2010
Seung-Woo Lee; So Jeong Nam; Jong Kweon Park; Jai-Kyung Lee
The manufacturing execution system (MES) for product production handles different production processes according to the product characteristics, and different data according to the process in question. To efficiently provide the data of the production equipment to production systems like the MES, data collection by equipment interface is needed in consideration of the production data concerning the field equipment. This paper proposes a method of collecting production data through the equipment interface in order to collect the various types of production equipment data in shop floor. Production data can be collected by various interface systems such as the PLC-based interface, the sensor-based I/O interface, and the operator key-in interface. The data collection system secondarily processes the production data collected by the equipment interface using an H/W communication module and an operator key-in module, and can increase the flexibility of the collected data using a data parser.
international conference on control, automation and systems | 2012
Seung-Woo Lee; So-Jeong Nam; Jai-Kyung Lee
Journal of Mechanical Science and Technology | 2012
Seung-Woo Lee; So Jeong Nam; Jai-Kyung Lee
Journal of Mechanical Science and Technology | 2016
Seung-Woo Lee; Jai-Kyung Lee
Journal of the Korea Industrial Information Systems Research | 2014
Jai-Kyung Lee; Seung-Woo Lee
International Journal of Precision Engineering and Manufacturing | 2014
Seung-Woo Lee; So-Jeong Nam; Jai-Kyung Lee