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Field Device Asset Management For Chemical Company in China

Chinese chemical subsidiary of multinational corporation serves customers throughout the world. Sales offices and research and technology centers are strategically located to provide rapid response to customer requests. Just two workers were assigned to maintain thousands of intelligent instruments in three production units, so they could do little more than react to device issues as they appeared. This costly maintenance method inevitably led to unexpected downtime when a critical instrument failed. Plant management recognized the need to change from reactive to predictive maintenance for all assets, including instruments and control valves, but help was needed in implementing such a technology-based initiative.

  • Emerson
    Emerson is a diversified global manufacturing company that brings technology and engineering together to provide innovative solutions to customers in the industrial, commercial and consumer markets through its Process Management, Industrial Automation, Network Power, Climate Technologies, and Commercial & Residential Solutions businesses. ​Year founded: 1890Revenue: $24.5 billion (2014)NYSE: EMR
  • Chemicals
  • Maintenance
  • Chinese chemical subsidiary of multinational corporation serves customers throughout the world. Sales offices and research and technology centers are strategically located to provide rapid response to customer requests.

  • Emerson’s AMS™ Suite: Intelligent Device Manager predictive maintenance software is designed to alert plant personnel if performance of intelligent field devices begins to deteriorate. With this software, a few well-trained workers can effectively manage many instruments. By providing direct access to the predictive diagnostics generated by smart field devices, AMS Device Manager enables users to respond quickly with corrective action to resolve instrument and valve issues in time to prevent unexpected downtime. A PlantWeb Services team from Emerson’s Asia-Pacific region was employed to install and implement AMS Device Manager in the production units, enabling the company to benefit greatly from predictive maintenance — even with the limited staff. The process began with the creation of a device database. Specifications and operating parameters of every instrument connected to the process control system were entered into the database. Each one was given a unique tag number so that any specific device can be easily located to access its diagnostics. Simultaneously, these assets were prioritized according to their criticality to production. Assets that cannot be allowed to fail were given the highest priority and earmarked for maximum maintenance attention. The PlantWeb Services experts then built alert monitoring limits into the software, causing a Status Alert to be raised on any priority device that begins to show signs of lagging performance. To develop a predictive maintenance culture, the team created a blueprint with rules to guide plant personnel in determining the correct timing for maintenance, when to make immediate repairs, and when to wait for the next convenient planned shutdown before repairing or replacing a failing asset. A solid asset management program based on predictive intelligence means reduced maintenance costs with less risk of production loss due to the failure of a critical instrument. The Chinese chemical production units now enjoy that competitive edge.

  • Downtime, Fault Detection, Notification Of System Issues, Process Procedure, Response Time
  • Mature (technology has been on the market for > 5 years)
  • Impact #1
    [Cost Reduction - Maintenance]
    Reduced costs through predictive maintenance
    Impact #2
    [Efficiency Improvement - Production Uptime]
    Unexpected downtime cut by concentrating maintenance on highest priority equipment. Equipment reliability was improved through proactive asset management
    Impact #3
  • Asset Health Management (AHM)
    Asset Health Management refers to the process of analyzing the health of an asset as determined by operational requirements. The health of an asset in itself relates to the asset's utility, its need to be replaced, and its need for maintenance. It can be broken down into three key components:Monitoring: Tracking the current operating status of the asset.Diagnostic Analysis: Comparing real-time data to historical data in order to detect anomalies.Prognostic Analysis: Identifying and prioritizing specific actions to maximize the remaining useful life of the asset based on analysis of real-time and historical data.
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