McKinsey and Company
Guillaume Decaix, Matthew Gentzel, Andy Luse, Patrick Neise, Joel Thibert
Asset-intensive industries—such as chemicals, oil and gas, mining, metals, pulp and paper, and power production—have been turning to new technologies in their effort to increase the reliability and availability of their equipment, while keeping maintenance costs under control. Using digital tools and advanced-analytics capabilities alongside traditional lean techniques, they aim to predict and prevent equipment failures, increase labor productivity, and streamline the management of external contractors.
When companies get all of the requirements right, the results can be impressive. Leading players in a variety of heavy industries have used digital tools in dramatically reducing unplanned outages while boosting maintenance-labor productivity. Higher availability and a more-efficient workforce have increased profitability by 4 to 10 percent in some organizations.
But these lighthouse examples are the exception rather than rule. Many companies that have implemented digital maintenance and reliability solutions have seen little measurable impact. What makes the difference? Full Article
Maintenance planning requires solid data, much of which you’ll obtain by collecting information on your own operations. It also helps to know what’s happening in the industry as a whole—that way, your own metrics are compared within a larger context. This ultimately helps you gauge where your own maintenance management processes are. You’ll get an idea of where you’re doing well and where you might need to make improvements in terms of maintenance management. Full Article
The use of predictive maintenance in manufacturing is not new, but it’s evolving. Staying abreast of the trends is an excellent way to maximize returns on investment.
Here are five things that’ll likely shape predictive maintenance in the coming year.