Digitally enabled reliability: Beyond predictive maintenance

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        An integrated approach to digital reliability and maintenance
        Reliability and maintenance activity has two basic parts: a program element, which encompasses asset strategies and maintenance plans, and an execution element, which encompasses identifying, prioritizing, scheduling, and performing work. Digital reliability and maintenance (DRM) encompasses both those elements, and underpins them with a set of enablers—the infrastructure, processes, and tools companies need to manage their assets, data, and people, in improving asset reliability and maintenance performance (exhibit).

        Exhibit
        https://www.mckinsey.com/~/media/McKinsey/Business%20Functions/Operations/Our%20Insights/Digitally%20enabled%20reliability%20Beyond%20predictive%20maintenance/SVG-Digitally-enabled-exhibit_Exhibit%20only.ashx

        But in practice, economically viable, real-world uses for these advanced PdM techniques are less than universal. Where a machine is prone to a narrow range of well-understood failure modes, it is often possible to address a potential problem in a simpler way, for example by monitoring the temperature or vibration of a component against a set threshold, or by consistently and rigorously applying data-driven reliability analysis techniques to address the root causes of failure modes. Conversely, where a machine can suffer hundreds or thousands of different kinds of failures (some of them very rare), it can be impractical to create sufficient models of high-enough quality to adequately predict them all.

        Capturing the digital dividend
        Does the relatively limited scope PdM has achieved mean that maintenance and reliability are somehow exempt from the digital imperative? Absolutely not. In fact, we propose that companies press well beyond one particular type of digital tool and think about how digital and advanced analytical techniques can transform their entire maintenance and reliability system. This means looking end to end for opportunities to make better use of data, and apply user-centric design principles to digitize processes. Sustainable impact will require a combination of new digital tools, changes in asset strategy, and improved reliability practices


        Read More..
        https://www.mckinsey.com/~/media/McKinsey/Business%20Functions/Operations/Our%20Insights/Digitally%20enabled%20reliability%20Beyond%20predictive%20maintenance/SVG-Digitally-enabled-exhibit_Exhibit%20only.ashx

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