Articles & Announcements

2.5 newsevents 307x195 Articles & AnnouncementsRead articles written by our leadership team and keep abreast of our EAM Seminar schedule.

  • Recent News

    2017 Solution Award – Critical Asset Safeguard Evaluation – Vote Today

    2017 Solution Award – Critical Asset Safeguard Evaluation – Vote Today

    2017 Solution Award 116x57 2017 Solution Award   Critical Asset Safeguard Evaluation   Vote Today

    GenesisSolutions looks to repeat after winning Solution Award for Asset Criticality Ranking Tool

    Please consider voting for GenesisSolutions “Critical Asset Safeguard Evaluation” (CASE) service for the 2017 Solution Award in the Work Execution Management Category. Results will be announced at The Reliability Conference being held April 24 – 28, 2017 in Las Vegas, Nevada.

    Click here to view 2017 Solution Award Finalists.

    Click here to view service overview.

    Risk, Performance, and Cost: Striking a Balance in the Power Industry – New White Paper

    Risk, Performance, and Cost: Striking a Balance in the Power Industry – New White Paper

    Risk Analysis as a Key to Unlocking Hidden Value

    “As the power generation industry continues to evolve with many current and near term challenges, achieving a truly optimized, risk informed view of maintenance and asset performance can yield tremendous value for proactive operators going forward.”

    Risk Cost Performance Power White Paper 300x135 Risk, Performance, and Cost: Striking a Balance in the Power Industry   New White Paper

    Cost, Risk, and Performance: Striking a Balance

    To meet service obligations and financial targets, every owner and operator of power generation assets must balance three major variables: risk, performance and cost. In the past, the guiding principle of many generators was “reliability at any cost.” Today’s competitive power markets demand a different approach focused on achieving acceptable reliability and quantifiable risk at a predictable (preferably lower) cost. When generators succeed in optimizing these trade-offs, a large savings in operations and maintenance costs can be achieved without incurring unacceptable risks of equipment failure and downtime.

    View the White Paper.

    Fundamental Data Considerations: Enabling Effective Planning & Scheduling

    Enabling Effective Planning & Scheduling: Fundamental Data Considerations for your Organization and CMMS

    GenesisSolutions had an opportunity to lead a presentation at the Pacific Northwest Maximo User Group (PANMU) in late 2016 on the Fundamental Data Considerations organizations must understand and implement in order to enable their CMMS (e.g. IBM Maximo, Infor EAM) to allow for Effective Planning & Scheduling.

    Abstract:

    ‘Those who cannot remember the past are condemned to repeat it.’

     Is one of your EAM goals to better Plan & Schedule work? That is common. The first questions you need to ask yourself is: Do we have accurate work history on our assets? Do we know what activities have taken place? Do we have a PM program that positively or negatively affects the accuracy and value of this work? This presentation discusses key fundamental and historical data considerations (including: crafts, inventory, schedules, tools, and third parties) that need to be established to set your organization up for success when undertaking a planning and scheduling initiative. It may just be possible to escape your past P&S mistakes if you put your CMMS work history to work!

    This presentation is available upon request. Please submit a request here and note “CMMS P&S″ in the message field.

    Utilizing your CMMS to Drive Infrared PdM Activities

    Utilizing your CMMS to Drive Infrared PdM Activities

    Utilizing Your CMMS To Drive Infrared PdM Activities

    Infraspection Institute Utilizing your CMMS to Drive Infrared PdM ActivitiesGenesisSolutions had an opportunity to lead a presentation at IR INFO 2017 to discuss and demonstrate several steps necessary to set up a Computerized Maintenance Management System (CMMS) to monitor and drive infrared Predictive Maintenance, or PdM, activities. The presentation led a review of the steps involved, including:

    • How to identify assets in scope for thermography inspections
    • How to capture asset information and build assets within the CMMS application
    • How to develop asset and location hierarchy to facilitate route creation and execution
    • How to setup condition monitoring information for assets included in infrared inspections to trigger follow-up work based on inspection results
    • How to develop metrics to measure performance / issue frequency based on inspection findings and follow-up items
    • How to develop routes and route schedules in a CMMS application
    • How to execute routes creating / triggering follow-up work orders as needed
    • How to analyze data and monitor KPI data on defined intervals
    • How to review and update frequencies and actions based on results and metrics data

    Lastly, we highlighted aspects of the integration that downloads the infrared readings to the CMMS.

    This presentation is available upon request. Please submit a request here and note “IR / INFO 2017″ in the message field.

     

     

    IBM Maximo Asset Management for Reliability Leaders – Solutions 2.0 Keynote Presentation

    Solutions 2.0 – Virtual Reliability Conference

    December 7, 2016 – 1pm ET

    Hosted by Reliabilityweb.com 

    Note: Recorded Session Available Here

    Quinton GoForth will be leading a keynote address on “IBM Maximo Asset Management for Reliability Leaders“. Although the examples will be demonstrated in Maximo, the methodology is geared for all leading CMMS, including Infor EAM, Oracle eAM, and SAP PM. Quinton will be discussing subject matter focused on the following topics:
    The engine behind a leading-edge maintenance and asset management program is the CMMS.  Although IBM Maximo Asset Management functionality has been enhanced with each new version, there are still a number of external analyses required to optimize the system’s use, such as FMEA.  The key to optimizing your program is linking the output data from each analysis to the proper Maximo field.
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