Transactions of the Korean Society of Mechanical Engineers A (대한기계학회논문집A)

The Korean Society of Mechanical Engineers (대한기계학회)
권호 표지
DOI QR코드

DOI QR Code

Application of Data Acquisition System for MES

MES 구현을 위한 현장정보 수집시스템의 적용 예

  • Lee, Seung-Woo (Nano convergence and Manufacturing System Research Division, Korea Institute of Machinery & Materials) ;
  • Lee, Jai-Kyung (System Engineering Research Division, Korea Institute of Machinery & Materials) ;
  • Nam, So-Jung (Nano convergence and Manufacturing System Research Division, Korea Institute of Machinery & Materials) ;
  • Park, Jong-Kweon (Nano convergence and Manufacturing System Research Division, Korea Institute of Machinery & Materials)
  • 이승우 (한국기계연구원 나노융합생산시스템연구본부) ;
  • 이재경 (한국기계연구원 시스템엔지니어링연구본부) ;
  • 남소정 (한국기계연구원 나노융합생산시스템연구본부) ;
  • 박종권 (한국기계연구원 나노융합생산시스템연구본부)
  • Received : 2010.12.15
  • Accepted : 2011.07.12
  • Published : 2011.09.01
Download PDF
⟨ Previous Next ⟩

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.

생산시스템은 다양한 제품을 특정 공정에 따라 생산되며, 이는 다양한 생산 데이터를 발생시킨다. 이러한 데이터를 효율적으로 관리하기 위해 제조실행시스템(MES)과 같은 생산관리시스템이 사용된다. MES에서 가장 중요한 항목은 생산설비에서 발생되는 설비데이터를 작업자의 간섭 없이 직접적으로 수집하는 시스템이다. 본 논문에서는 생산현장에서 발생하는 다양한 정보를 실시간으로 수집하기 위한 데이터 수집 방법으로 범용기계에 적용 가능한 센서를 이용한 방법과 자동화 기계에 적용 가능한 PLC를 이용한 데이터수집 방법을 제안하였다. 제안된 데이터 수집시스템은 실제 생산시스템에 적용하여 효율성을 검증하였다. 제조 현장에서 설비의 상태데이터를 수집하는 시스템을 활용하여 실시간으로 현장정보를 제공할 수 있는 MES를 구현할 수 있다.

Keywords

References

  1. MESA, 1997, "MES Functionalities & MRP to MES Data Flow Possibilities," Mesa International Whitepaper, No. 2, pp. 74-103.
  2. Lee, K. S. and Kim, S. H., 2004, "Design and Implementation of MES System in Manufacturing Process," Korea Information Society, Vol. 11, No. 2, pp. 781-784.
  3. Shin, B. C., Ha, S. J., Kang, M. H., Heo, Y. M., Yoon, G. S. and Cho, M. W., 2009, "The Cutting Process Monitoring of Micro Machine using Multi Sensor," Transaction of the Materials Processing, Vol. 18, No. 2, pp. 144-149. https://doi.org/10.5228/KSPP.2009.18.2.144
  4. Kwark, W. Y., Kim, W. S. and Park, G. D., 2009, "Design and Implementation of Equipment Monitoring System for Data Integration," Journal of the Korea Society of Computer and Information, Vol. 14, No. 9, pp. 115-126.
  5. Albrecht, A., Park, S. Sl, Altintas, Y. and Pritschow, G., 2005, "High Frequency Bandwidth Cutting Force Measurement in Milling Using Capacitance Displacement Sensors," International Journal of Machine Tools & Manufacture, Vol. 45, pp. 993-1008. https://doi.org/10.1016/j.ijmachtools.2004.11.028
  6. Park, J. S., Kang, K. S. and Kim, K. D., 2002, "Development of Monitoring Management System on Sensor," Spring Proceedings of Safety Management & Science, pp. 269-274.
  7. Sun, D. J., 2002, "Machine Tools by Using Real-Time Network Management System," Mitsubishi Heavy Industries Technical Review, Vol. 39, No. 4, pp. 203-213.
  8. Kim, B. S. and Lee, H. C., 2006, "A Study on MES for Tracking Product Using RFID, Winter Proceedings of KSCI, pp. 159-164.
  9. Kim, S. K. and Kim, Y. T., 1995, "Production Data Management Technique for Automatic Production Line," Transaction of the KSME(A), Vol. 35, No. 4, pp. 285-293.
  10. Lee, S. W., Lee, J. K., Nam, S. J. and Park, J. K., 2010, "Application of Data Acquisition System for MES," Autumn Proceedings of KSME, pp. 1816-1819.

Cited by

  1. An Exploratory Study on Application Plan of Big Data to Manufacturing Execution System vol.12, pp.1, 2014, https://doi.org/10.14400/JDPM.2014.12.1.305
  2. Real-time monitoring system of the legacy systems data -Focused on Manufacturing Shop Floor- vol.18, pp.1, 2016, https://doi.org/10.12812/ksms.2016.18.1.219