In heavy-equipment maintenance, digital and analytics tools are struggling to live up to their promise. Here’s how to help them pull their weight.
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.
Unlocking the potential of digital and analytics in maintenance and reliability is not easy, but leading players in heavy industries have enjoyed significant rewards for their efforts. In future articles, we will take a deeper dive into digital work management and predictive maintenance, to uncover the secrets for success in each domain.
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