APM Reliability Classic from GE Digital Part of our On-Premise Asset Performance Management Classic Solution Suite

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1 Provides operational visibility and analysis to help reduce asset failure, control costs and increase availability With escalating pressure on businesses to improve the bottom-line while being faced with increasing operational costs, asset-intensive companies must get more out of their existing industrial assets. These organizations need to implement strategies that not only extend the life of assets, but also eliminate any unplanned downtime and outages within an optimized cost profile. Key drivers for these improvements include: APM On Premise APM Health Health manager Rounds Calibration management APM Reliability Reliability analysis Root cause analysis Production loss accounting APM Integrity Risk based inspection Inspection management Thickness monitoring APM Strategy RCM / FMEA Strategy Library Strategy manager Lifecycle cost analysis APM Safety Hazards analysis SIS management Management of change SmartSignal Protective diagnostics Digital twin blueprints Unanticipated failures resulting in lost production, higher maintenance costs, and negative impact to corporate reputation Understanding the diverse causes and true costs of asset failure and mapping solutions that drive results, thereby improving asset integrity ratings APM Foundation Criticality Analysis Policy Designer APM Metrics APM Connect Plus EAM Adapters - Base ASI for SAP OPC Adaptor Languages Gaining operational visibility and exploiting reliabilitybased analyses to proactively identify and systematically eliminate defects, reduce asset failures, control costs, minimize unplanned lost opportunity events (LOE) and enhance production availability

2 The success of any APM program largely depends on implementing a measuring system that consolidates outputs, costs, failure rates, and compliance information and measures actual progress against strategic goals APM Reliability, part of our on-premise Asset Performance Management solution suite, provides operational visibility and a comprehensive set of analytical tools to help reduce asset failures, control costs and increase production availability. The solution profiles the causes and true cost of failure and maps improvement opportunities that drive results for the plant floor as well as the boardroom. APM Reliability correlates asset failures, maintenance and business impact to ensure cutting costs doesn t mean cutting output. The use of quantitative simulations eliminates guess work and produces cost-justified recommendations and fast results. APM Reliability contains the following capabilities: Reliability Analysis: Quantify the performance of assets and generate recommendations to optimize strategies for continuous improvement Root Cause Analysis: Improve the plan by determining cause of failures using the PROACT analytical methodologies Production Loss Analysis: Manage production goals by tracking events and impacts, and reconciling production losses Benefits of APM Reliability include: Providing visibility to performance progress indicators Managing and improving asset performance, maintenance expenses and business impacts with a comprehensive analytical toolset Balancing maintenance and production trade-offs, with recommendations, via quantitative simulations Increasing availability and your return on assets Streamlining asset reliability processes

3 Reliability Analysis Quantify the performance of assets and generate recommendations to optimize strategies for continuous improvement Understanding the historical costs, failure frequencies, and trends of production assets is a critical component of any comprehensive APM program. With a clear understanding of poorly performing equipment, where improvement opportunities exist, and the impact of design changes, asset owners can implement the most effective strategies and designs to optimize asset utilization and costs. Reliability Analysis provides a collection of analytical tools and methods that apply reliability engineering principles to help you make tactical and strategic decisions to optimize the performance of your assets. Reliability Analysis is a set of tools to help collect and analyze asset failure and production data for establishing historical trends and developing improvement strategies. 01 Production Analysis Most plants contain hidden information, which represents the production capacity lost due to inefficient processes and under-utilized equipment. The potential for increasing profitability hinges upon the ability to identify improvement opportunities, then implement strategies that will increase production. The Production Analysis capability provides an easy method of plotting production output data for evaluating process reliability and calculating production losses related to equipment failures, process slowdowns, and shutdowns. The results of a production analysis can help you pinpoint the source of significant production losses so that improvement strategies can be developed accordingly. 02 Reliability Growth (AMSSA-Crow Growth) Knowing the performance impact on assets when changes are made to the engineering design, maintenance strategies, or operating procedures can provide key insight into which improvement programs are working. Growth Analysis is a statistical method that can quantify changes in performance by calculating whether MTBF (mean time between failure) is increasing or decreasing over time. 03 Reliability Distributions Reliability Distributions (Weibull, Exponential, Lognormal, and Normal) provide an understanding of current failure patterns and expected life using relatively small datasets. Reliability Distributions can also be used to optimize preventive maintenance (PM) intervals and accurately forecast future failures. 04 Reliability Automation Rules After the data needed to perform statistical analysis is integrated from various other systems into APM, reliability automation rules can be utilized to collect the appropriate data automatically and then use that data to create new analyses automatically. By automating this process, analysts can spend less time collecting data and performing calculations and more time analyzing the results to evaluate asset performance.

4 05 Spares Analysis As more and more companies implement spares reduction initiatives, the risk of major losses due to critical spare stock-outs becomes more likely. Since many spares optimization solutions are based heavily on usage data, they are inappropriate for insurance and slow-moving critical spares. Ensuring the correct holding level for these spares can greatly reduce the risk of stock- out-based lost production opportunities. Spares Analysis provides a riskbased optimization for these spares that is not reliant on usage history. The results of an analysis provide the financial justification for the optimal spares holding levels. Simulations can be performed to understand the future reliability of assets given the historical values that have been calculated in the Reliability Growth and/or Reliability Distribution analyses. What-if scenarios can also be used to compare changes in asset configurations, changes in the maintenance strategy, or changes in reliability. 07 System Diagrams System diagrams graphically represent the physical configuration of the assets as well as the relationships in terms of reliability. 06 System Reliability Analysis The System Reliability Analysis component of Reliability Analysis is an integrated solution that provides the capability to model the connectivity of production assets and assess the reliability, availability and maintainability of a collection of assets, a production unit, or a complete facility.

5 Root Cause Analysis Improve the plan by determining cause of failures using analytical methodologies Unplanned downtime and the inability to meet planned production rates due to failures results in higher cost, increased risk, and lower profits. The application of Root Cause Analysis (RCA) techniques will help equipment owners better understand the underlying causes of failures and use that information to prevent future occurrences. An integrated RCA solution overcomes the following shortcomings of stand-alone solutions: The data required to support RCA is time-consuming to collect and document RCA efforts are typically site- or department-based with very little sharing of analysis results RCA recommendations are useless unless they are implemented and validated RCA offers a systematic approach for determining the root causes of failures and developing meaningful recommendations to eliminate or reduce the impact of those events. By documenting the sequential events, evidence, and faults that lead up to a failure, analysts can make recommendations for improving assets, processes, and culture to keep the event from occurring again in the future. APM helps companies overcome these issues with RCA (PROACT for APM), part of the APM Reliability solution and an integrated component of a complete APM solution. The PROACT methodology guides analysts through the various stages of an RCA: Preserving Failure Data, Ordering the Analysis, Analyzing the Data, Communicating Findings and Recommendations, and Tracking for Results. 01 Event Diagramming Event Diagramming lets users graphically outline the causeand-effect relationships that led to an event or failur e. The analysis team can use the diagram to graphically represent all of the things leading up to an event. 02 Logic Tree The Logic Tree, which is part of PROACT, organizes the process of analyzing the problem and provides a graphical technique for facilitating the evaluation of all the possible causes of the event. The Logic Tree structure also allows the problem to be broken into its smallest components, making it easier to determine the true root causes. New in v4.3, RCA now imports the failure modes defined from an RCM or FMEA analysis. This significantly reduces the time and effort to create root cause logic trees, enabling users to identify failure causes and address them more quickly, which can help to prevent similar failures in the future. 03 Templates Templates provide a means for organizations to share the knowledge that is gained by completing analyses. As best practices are identified for performing RCA, templates can be built in the system and utilized by the individuals responsible for discovering the root causes of failures. 04 Recommendation Management APM provides a centralized area to track all recommendations, as well as the ability to send reminders when recommendations are overdue. The most important aspect of performing a root cause analysis is the identification and implementation of recommendations. The recommendation management features ensure that corrective actions from the analysis are implemented. 05 Recommendation-Effectiveness Tracking The Recommendation Tracking mechanism provides a means for ensuring that implemented recommendations are effectively addressing the underlying issues. RCA allows users to define alerts that will inform the appropriate individuals when failures and associated costs fall outside of an acceptable range.

6 Production Loss Analysis Manage production goals by tracking events and impacts, and reconciling production losses To stay ahead of the competition, companies must be able to minimize unplanned shutdowns and slowdowns and reduce the duration and frequency of planned shutdowns while still managing the risks of unplanned events. Measuring production capacity in a standardized way allows plant owners and operators to decrease production losses, eliminate unclassified losses, take action to improve production, and compare production data across the enterprise. The Production Loss Analysis (PLA) capability allows you to manage production goals, collect actual production values, track production events and impacts, and reconcile production targets. With robust analysis and reporting capabilities, PLA makes it easy to visualize production losses and their impacts. Its extensive capabilities to integrate with other analysis tools and enterprise data make PLA the ideal capability for accurately measuring, analyzing, and communicating production performance. 01 Production Profiles PLA provides the ability to define the production profiles that describe which products are produced by each production unit. The production profile is where users can define maximum sustained capacity rate (MSCR) and maximum demonstrated rate, as well as the margins (profit per unit of product). 02 Configurable Production Event and Impact Codes Production event codes allow you to categorize any events that lead to a shutdown, slowdown or off-quality product. These codes can be modified to meet a company s specific requirements. Impact codes are used to categorize production losses and to support standard metrics such as mechanical availability, operational availability and on-stream factor. 03 Production Plan Definitions Production plans provide a means for defining how much product a company plans to produce over a specified time period. This feature allows users to track and compare actual versus long- range plans for all production profiles. 04 Production Events Production events provide an easy way to document any incident that causes a shutdown, slowdown or production of off-spec product. These events, whether they are related to equipment failures, human error or lack of demand for the product, can be coded or categorized for later analysis. Since APM is typically integrated to a computerized maintenance management system (CMMS) or enterprise asset management system (EAM), production events can be linked to related work orders and assets as appropriate. Additional event costs can be captured as well to ensure that the total impact of production events is represented. 05 Production Data Management and Loss Reconciliation Capturing and trending actual production is the key to identifying improvement opportunities. PLA not only makes it easy to capture daily production, but also provides an intuitive way to ensure that all losses are accounted for. The production data summary allows users to see, at a glance, how much was produced, the total production losses, and the financial impact of those losses, as well as a graphical summary of losses by impact. Having all this information available in one view allows users to spend more time identifying and solving problems and less time gathering data.

7 06 Integration to Reliability Analytics Because PLA is part of a comprehensive APM solution, this data can also be easily leveraged for detailed statistical analyses. As a part of Reliability Analysis, Production Loss Analysis allows analysts to fit actual production data to a Weibull distribution to better understand production variability, characteristic production rates and production reliability. Performance can then be categorized as either efficiency, utilization or reliability losses and the financial implications quantified. 07 Integration to Root Cause Analysis While PLA provides an efficient way to identify which problems need to be solved, companies cannot realize the full value of the solution until they begin to eliminate the defects that cause the problems. An investigation in RCA can be quickly initiated directly from a production event so that the root causes can be identified and recommendations for change can be suggested and implemented.

8 Generation Availability Analysis (For Power Generation) Integrates information to support generation av analysis and drive continuous improvement strategies Generation Availability Analysis (GAA) capability, integrates information from maintenance, operational, planning and financial disciplines to support generation reliability analysis and drive continues improvement strategies. GAA, in conjunction with other APM capabilities, provide fleet operators with solutions to: Improve availability and overall reliability Optimize operating and maintenance costs Enable protection against future production risks Provide mechanisms for root cause analysis of generation asset events Improve communication and asset knowledge Optimize capital utilization Provide visibility of generation asset health Provide a defined methodology to better execute financial goals (future) 01 Integration GAA can be implemented as standalone solution, but the real value is achieved through the integration of the compliance reporting process with other business reporting and analysis needs of a company. Unexpected events can be evaluated with APM s integrated Root Cause Analysis tools for asset strategy adjustments. Manually entered data can be replaced with data from Process Data Historians, streamlining the process further. Forecasting functionality can be used to document planned outages, enabling the development of target revenue values and key performance indicators (KPIs) for the year. Fuel cost, replacement power cost and other financial information can be used to determine the true cost of failures instead of just the potential costs as required by NERC. The integration of work order and maintenance plans provides additional information both about the past failures and the strategies that exist to mitigate or eliminate failure situations. Having all this information in one place creates a central database to capture employee knowledge learned over decades of real-world experience. Reliability analysts can further use this information for determining the best operating and maintenance practices to meet their business needs. Finally, a central recommendation management system incorporated into APM enables the feedback of information across the corporation. 02 Generation Events Generation events are defined either as they occur or as monthly performance is reported. Each event is coded to NERC requirements with an event type code, start/stop date and time, GADS cause coding, outside management control flag and other pertinent information. Contributing incidents can also be defined for further analysis granularity. Through an interface with the CMMS or EAM system, each incident can be referenced to multiple work orders for complete remediation cost. The lost opportunity cost of each incident is also calculated based upon the event duration and the cost of replacement power during the event period. Additionally, process historian integration can provide available capacity figures at the time the incident is created. 03 Generation Performance Generation performance is captured for each unit for each month. As capacity events are created, the monthly unit capacity history record is either created or updated based on the work process selected. Actual generation, starts information and fuel burn of up to four fuel types are also captured on the History records as appropriate. APM Reliability calculates and stores on each monthly record all NERC (IEEE 762) performance calculations.

9 04 Regulatory Reporting After approval of capacity history records, an administrator can generate reports that follow the GADS reporting requirements and send the data to NERC electronically. 05 Fleet Optimization With the power of the APM available to power generators, the data collected in GAA can be analyzed and used in many ways. The APM Metrics capability, found in the APM Foundation solution, can provide visibility and conditional alerts to KPIs and related targets. Review of capacity event records can lead to a launch of the Root Cause Analysis and Failure Mode and Effects Analysis capabilities to prevent recurring problems. Generation nameplate data can be used to analyze trends by manufacturer to improve fleet performance. Forced outage visibility can provide planners with windows of opportunity to perform corrective maintenance. APM Reliability provides a comprehensive toolset to drive reductions in asset failures and product defects, thus improving asset reliability, availability, return on assets and overall production predictability.

10 About GE GE (NYSE: GE) is the world s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. GE is organized around a global exchange of knowledge, the GE Store, through which each business shares and accesses the same technology, markets, structure and intellect. Each invention further fuels innovation and application across our industrial sectors. With people, services, technology and scale, GE delivers better outcomes for customers by speaking the language of industry. Contact Information Americas: YOUR1GE ( ) gedigital@ge.com General Electric. All rights reserved. *Trademark of General Electric. All other brands or names are property of their respective holders. Specifications are subject to change without notice