Skip to main content

IBM Predictive Maintenance and Quality (Version 2.0)

Web Doc

thumbnail 

Published on 09 May 2014, updated 12 November 2014

  1. View in HTML
  2. .PDF (0.8 MB)

Share this page:   

IBM Form #: TIPS1130


Authors: David Noller, Amaresh Rajasekharan and Paul Peters

    menu icon

    Abstract

    IBM® Predictive Maintenance and Quality (PMQ) enables companies to identify when manufacturing assets need maintenance, not just according to the manufacturer's scheduled repair guide but also based on how the asset is actually being used every day. This helps to keep critical production lines running while also saving money, because repairs are always, and only, performed when truly necessary.

    Today's production assets are routinely instrumented to collect and transmit vital data (operating temperature, duration, error codes, and so on). The PMQ solution uses innovative IBM integration and analytics products (IBM Integration Bus, IBM SPSS®, and IBM Cognos® Business Intelligence, and so on) to interpret the received data and create models that predict when a particular asset is most likely to fail or falter. And by extending PMQ to integrate with Enterprise Asset Management (EAM) systems, the company can convert the solution's predictions into work orders for immediate action on the manufacturing floor. This IBM Redbooks® Solution Guide describes the PMQ solution.

    Contents

     

    Others who read this also read

    Special Notices

    The material included in this document is in DRAFT form and is provided 'as is' without warranty of any kind. IBM is not responsible for the accuracy or completeness of the material, and may update the document at any time. The final, published document may not include any, or all, of the material included herein. Client assumes all risks associated with Client's use of this document.