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SDIPF Asset Lifecycle Value Chain

The Introduction of the SDIPF Safety Reliability Curve

The SDIPF Curve is a visualization that attempts to graphically "bend time" to the benefit of investing in and achieving reliability by showing a lifetime snapshot of the asset over time.

If Reliability Is a Journey, Where Do We Start?

If Reliability Is a Journey, Where Do We Start?

It is often said that the pursuit of Reliability is a journey with no end, an ongoing effort of continuous improvement and newfound opportunity.

Are You a Maintenance Hero or a Reliability Leader?

Are You a Maintenance Hero or a Reliability Leader?

The fact is, organizations and their management teams create heroes and leaders through their behavior and actions. This article explains the differences between heroes and leaders and defines the attributes of a special kind of leader, reliability leaders: the real heroes.

The Keys to Solving Fatigue: The Silent Killer

The Keys to Solving Fatigue: The Silent Killer

Fatigue is a failure mode that every manufacturing plant will experience at some point and can become chronic if not solved. While understanding fatigue has advanced since its inception in the early 1800s, there are still some misunderstandings in manufacturing in solving these failures. A characteristic of fatigue failures is stress, which is typically below the yield strength of the material. This is what makes fatigue a silent killer.

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Reliability Radio EP 158: Interview With John Fortin

Reliability Radio EP 158: Interview With John Fortin

Find out more about John Fortin, VP, Asset Management and Reliability at Jacobs, and his book "Why Execution Fails - What to Do About It." Tactical approach to your asset management program.

¿Las tecnologías del IIOT reemplazarán a los trabajadores de mantenimiento de las fábricas?

¿Las tecnologías del IIOT reemplazarán a los trabajadores de mantenimiento de las fábricas?

La idea de que la tecnología de fábricas inteligentes desplazará a los humanos ha generado un debate importante. En un informe de julio de 2016, McKinsey & Company estima que “el 59 por ciento de todas las actividades de fabricación podrían automatizarse”.1 En un artículo que se puede aplicar al campo del análisis industrial, la revista MIT Technology Review2 sugiere que, a diferencia de la experiencia anterior, las tecnologías proporcionan soluciones que son más humanizadas y, por lo tanto, podrían eliminar trabajos que hasta ahora se han resistido a la automatización.