Industrial Iot Spotlight
PTC x IoT ONE EP048 - Balance your three legged stool for maximum equipment efficiency - Preston Johnson, Platform Leader for IIoT and Digital Transformation Services, Allied Reliability
- Autor: Vários
- Narrador: Vários
- Editor: Podcast
- Duración: 0:53:36
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Sinopsis
*This episode of the Industrial IoT Spotlight podcast is sponsored by PTC In this episode of the IIoT Spotlight Podcast, we discuss predictive maintenance, how to use best practice behaviors to drive best practice results, and predictive maintenance technologies. We also discuss framework of balancing the three-legged stool (people, processes, and technology), and 2 case studies of successful predictive maintenance implementation projects using the ThingWorx Industrial IoT platform. Takeaways: Predictive maintenance is a method for machine operators to get the maximum productivity out of any piece of equipment. It is especially important for asset intensive industries. Predictive maintenance is the basis of digital transformation in other areas of the enterprise - it is not valuable to optimize a process with chaotic variables. The main value driver in predictive maintenance is the cost of production per unit produced because it is an indicator of machine reliability, revenue, and operating costs, which all