Implementation and Effectiveness of Smart Equipment Engineering System

스마트 설비관리시스템 구축 및 효과분석

  • Sim, Hyun-Sik (Department of Industrial & Management Engineering, Kyonggi University)
  • 심현식 (경기대학교 산업경영공학과)
  • Received : 2017.09.17
  • Accepted : 2017.09.22
  • Published : 2017.09.30


EES System support to maximize equipment efficiency by providing real-time information of main equipment which has a significant effect on product quality and productivity, and to prevent equipment failure by detecting equipment abnormality in advance. Smart Equipment Engineering System(S-EES) integrates the activities performed at equipment that are the core of production activities and manages them by system so as to maximize the efficiency of equipment and raise the quality level of products to one level. In other words, when the product is put into the equipment, the recipe is downloaded through the RMS, the recipe is set to the optimal condition through R2R(process control), and the system detects and controls the abnormality of the equipment during operation through the FDC function in real time it means. In this way, we are working with the suitable recipe that matches the lot of product, detecting the abnormality of the equipment during operation, preventing the product from being defective, and establishing a system to maximize the efficiency through real-time equipment management. In this study, we review the present status and problems of equipment management in actual production lines, collect the requirements of the manufacturing line for the PCB line, design and develop the system, The measurement model was studied.



  1. MESA International, "MES Harmonization in a Multi-Site, Multi-Country, and Multi-Cultural Environment: Case Study of a Plant to Enterprise Solution," MESA International white Paper, 2008.
  2. Usami, Yasutsugu., Kawata, Isao., Yamamoto, Hideyuki., Mori, Hiroyoshi., Taniguchi, Motoya, "e-Manufacturing System for Next-generation Semiconductor Production," Hitachi Review, Vol. 51, No. 4, 2002.
  3. MESA International, "MES Explained_ A High Level Vision," MESA International white paper, 1997.
  4. Lee, G. B, "Suggestions for Implementation of the Digital Factory-Based Extended Manufacturing Execution System," Journal of the Korean society for Precision Engineering, Vol. 26, No. 1, pp. 17-23. 2009.
  5. Jung, K. C, "An Adaptive Dispatching Architecture for Constructing a Factory Operating System of Semiconductor Fabrication," IE Interface, Vol. 22, No. 1, pp. 73-84, 2009.
  6. Park, J. H., Yoshida, A. A, "Simplified MES Implementation for Small-sized Manufacturing Industries with Excel VBA," IE Interface, Vol. 22, No.4, pp. 302-311, 2009..
  7. Kim, G.Y., Jin, Y.E., Noh, S.D., Choi, S.S., Jo, Y. J., Choi, S.O, "Implementation Strategy and Effect Analysis of MES for a Small and Medium PCB Production Company based on BPR Methodology," IE Interface, Vol.24, No.3, pp. 231-240, 2011.
  8. Masanaga Fukasawa, Atsushi Kawashima, Nobuyuki Kuboi, Hitoshi Takagi, Yasuhito Tanaka1, Hiroyuki Sakayori1, Keiji Oshima, Kazunori Nagahata and Tetsuya Tatsumi, "Prediction of Fluctuations in Plasma-Wall Interactions Using an Equipment Engineering System," Japanese Journal of Applied Physics, Vol. 48, No. 8S1, 2009.