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Maintenance optimization and asset management solutions from HBM Prenscia

HBM Prenscia sponsored and presented at the MaximoWorld 2019 Conference, August 6 - 8 in Orlando, Florida. If you missed our presentations, you can join us
on October 8th for a webinar on "ReliaSoft and IBM Maximo Integration: A Framework to Drive Asset Planning and Performance". Learn how ReliaSoft software products integrate with IBM Maximo and discover our practical, holistic framework that characterizes asset reliability behavior which uses this information to uncover insights on asset failure characteristics and their importance to the business. This approach delivers optimum maintenance strategies and plans, reliability performance, and remaining equipment life that are incorporated into IBM Maximo. The webinar will cover topics from RCM analysis and RAM simulation to reliability analytics and asset deterioration models and discuss how they fit together with IBM Maximo.

Download our MaximoWorld presentations

A Holistic Framework to Drive Asset Planning and Performance

Wednesday, August 7 (1pm - 1:45pm)
Presented by Adamantios Mettas, Vice President - Business Development and Kevin Knill, Director - Solutions Architecture, HBM Prenscia

Equipment Operators are continually faced with the questions: 

  1. What assets will fail?
  2. Do I care?
  3. What actions should I take?

In this presentation, you will learn how we use IBM Maximo and other sources to answer these questions. We will present a practical holistic framework that characterizes asset reliability behavior and then uses this information to uncover insights on asset failure characteristics and their importance to the business. This approach delivers optimum maintenance strategies and plans, reliability performance and equipment remaining life that are incorporated into IBM Maximo. The presentation will cover topics from RCM analysis to reliability analytics and asset deterioration models and how they fit together.

Download a PDF of the presentation

APM 4.0: A Pragmatic Roadmap

Thursday, August 8 (1pm - 1:45pm)
Presented by Adamantios Mettas, Vice President - Business Development, HBM Prenscia

The concept of APM 4.0 involves maximizing the use of data to drive proactive actions that are increasingly based on asset condition and operational usage severity, rather than intuition or sub-optimal time-based schedules (monthly, annual etc.) that often lead to unnecessary maintenance (and costs) or insufficient interventions before failure events. Techniques like inferential sensing and combining engineering models with machine learning at the analytical workflow level yields better results more consistently and even requires a lower start-up effort. This presentation is answering questions such as “Where do I start?” and outlines practical approaches in using data and proven reliability engineering methods along with advances in analytics, to manage asset performance more proactively.

Download a PDF of the presentation

 

Our solutions deliver optimum maintenance strategies and plans, reliability performance and equipment remaining life that are incorporated into IBM Maximo.   HBM Prenscia’s integrated tools and solutions will allow you to:

  • Use Maximo historical data to create reliability models and digital twins
  • Calculate key system parameters such as availability, downtime, maintenance costs, and failure rate to rank asset criticality
  • Optimize and quantify the impact of proposed maintenance strategies
  • Forecast failures over a fixed time interval
  • Perform scenario analysis and determine economic impact of recommended actions
  • Assess the number of spare parts to be purchased and calculate the cost of maintaining the system
  • Create asset deterioration models

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