Reactive Maintenance

2012/2013

Predicting Production Delays and Expected Yields in Future Batches

By |December 20th, 2013|Categories: Manufacturing, Predictive Analytics, Predikto News / Events|Tags: , , , , |

Predikto will be releasing a new Advanced Analytics solution that will enable operators at continuous manufacturing facilities to predict production delays, asset failures, and expected production yield for future batches without the need to send us sensor data on a daily basis.

Operators will enter future batch settings like Steel Quality, Billets, Speed, Temperature, and a handful of other information.  Predikto will show in a simple graphical web form the risks embedded in the batch and […]

2509/2013

Reactive Maintenance and the Telephone Booth

By |September 25th, 2013|Categories: Manufacturing, Predictive Maintenance|Tags: , , |

I was walking through the streets of New York recently and ran into a public telephone booth. I was amazed at my reaction since phone booths are almost extinct. Earlier that day my family went to the Museum of Natural History to see dinasours up close and personal, and it’s amazing how all these different and interconnected animals are extinct as well. It got me thinking as to what practices in industrial manufacturing would become […]

2203/2013

Replace intuition with predictions

By |March 22nd, 2013|Categories: Predictive Maintenance|Tags: , , |

Many industrial manufacturing companies run a reactive maintenance organization. That means they wait for things to break before replacing parts. Studies have proven that running a preventive maintenance plan reduces expenses by up to 75% in the long run.  The challenge is that many of the Preventive Maintenance schedules were developed on intuition.  Changing the oil filter once a year is enough.  Most organizations are sitting on a wealth of data like prior downtimes (failures), […]