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In a global marketplace, improving company performance requires timely, accurate information to support corporate decisions related to internal and external asset utilization. For the Cotton Textile Industry in China we have assessed the extent of automation system maturity using performance metrics using an information-based Evaluation Indicator Architecture (EIA). Our EIA for Industrial Automation System (IAS) utilizes different enterprise architecture views to identify generic and partial hierarchic structures for evaluation of Key Success Factors tailored for a specific industry.
Date of Conference: 22-23 Oct. 2011