In manufacturing, transportation, energy, or any asset-intensive field, downtime and shrinking MTBF (mean time between failures) are the enemies, topped only by outright system failure. In equipment-heavy fields, operations traditionally works to prevent machine failures and predict equipment replacement or maintenance to keep costs down. Accurate prediction is the key, but it’s also the toughest part of the job.
Today, replacing reactive maintenance with predictive maintenance (PdM) is a way to reduce the cost and disruption of planned maintenance without increasing the unplanned downtime and the phenomenal cost of operations shutdowns. Although the majority of the data for predictive maintenance originates from operations technology, IT can help with predictive maintenance as well by providing predictive analytics and business data.
In this webinar, Dell and SAP discuss the shift of maintenance practices from reactive and preventative to predictive in order to reduce unnecessary planned maintenance, unexpected downtime and lost productivity.
Presenters:
Kevin Terwilliger - Solutions Director for Dell's IoT Division Christopher MacLuckie - Solution Director, SAP Predictive Maintenance and Service, SAP SE
Moderator: Bill Lydon, Editor or Automation.com