The Status Info Processing and Keeping System for Production Equipment

With the globalized production and logistics environment, the need for reducing the product development interval and lead time, having a faster response to orders, conforming to quality standards, fair tracking, and boosting information exchanging activities with customers and partners, and coping with changes in the management environment, manufacturers are in dire need of an information management system in their manufacturing environments. There are lots of information systems that have been designed to manage the condition or operation of equipment in the field but existing systems have a decentralized architecture, which is not unified. Also, these systems cannot effectively handle the status data extraction process upon encountering a problem related to protocols or changes in the equipment or the setting. In this regard, this paper will introduce a system for processing and saving the status info of production equipment, which uses standard representation formats, to enable flexible responses to and support for variables in the field equipment. This system can be used for a variety of manufacturing and equipment settings and is capable of interacting with higher-tier systems such as MES.

Authors:

• So Jeong Nam
• Seung Woo Lee
• Jai-Kyung Lee

Keywords:

• DAS
• Equipment Status
• Regular Expression

References:

[1] IMS, "NGM(Next Generation Manufacturing) report", 2006
[2] Kwark, W. Y., Kim, W. S. and Park, G. D., "Design and Implementation
of Equipment Monitoring System for Data Integration," Journal of the
Korea Society of Computer and Information, 2009, Vol. 14, No. 9, pp.
115-126.
[3] Lee, S. W. and Lee, H. K., "Data acquisition system of compound
semiconductor fabrication," Journal of Mechanical Science and
Technology, 2007, Vol. 21, No. 12, pp. 2149~2158.
[4] http://en.wikipedia.org/wiki/Regular_expression.
[5] Panetto, H., Baina, S. and Morel, G., "Mapping the IEC 62264 models
onto the Zachman framework for analyzing products information
traceability: a case study," Journal of Intelligent Manufacturing, 2007,
Vol. 18, No. 6, pp. 679-698.
[6] MESA International, IBM Corp. and Capgemini, 2008, "SOA in
Manufacturing Guidebook," MESA White paper, No. 27, pp.1~69.
[7] Ju H., 2006, "An Overview of MES Solution Trends and a Strategy for
Successful MES Deployment," SAMSUNG SDS Consulting Review, No.
2, pp.69~79.