• The Bottom Line
  • Equipment Taxonomy
  • Failure Data
  • Failure Analytics
  • Industry Data

Use data-driven decision-making for equipment assets to optimize profitability, safety and compliance.

ISPM helps asset-intensive industries improve equipment availability and minimize hazards with high-quality equipment reliability data. High-quality, structured equipment failure data give companies better insight into equipment reliability and performance and thus enable data-driven decision making.

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Equipment taxonomy is the foundation of your maintenance and reliability program.

ISPM gives you an “intelligent taxonomy” that defines equipment boundaries and interrelationships in a manner that can be interpreted by the system. P&ID tags are mapped into the system, which gives you one unique identifier and complete traceability for each functional object throughout all systems and records.

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Failure data quality begins at data inception.

With ISPM, failure data quality processes are integral with work management processes, which minimizes the need to reconstruct failure event details at a later point in time. A small upfront investment in quality data collection gives a big payback in reduced analytical time and high-quality failure metrics

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Failure data merging and assessment require common viewpoints of equipment for meaningful data comparisons.

ISPM equipment taxonomy construction gives you industry standard equipment boundary envelopes that are defined by the system. Multi-Level Failure Reporting (MLFR®) is used to aggregate all failure events within any given equipment boundary to the parent equipment level. No more data mining required!

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Optimize corporate decision-making by leveraging industry data from the CCPS PERD ERP database.

ISPM gives you native integration with the Center for Chemical Process Safety (CCPS) Process Equipment Reliability Database (PERD). PERD ERP runs SAP software with the ISPM Appliance installed, which greatly simplifies data exchange.

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News & Events

Reliability Dynamics Partners with CCPS PERD to Deliver New Equipment Reliability Data Toolset
October 06, 2014

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