Predictive Maintenance_ Is it the best approach for Greenfield or Brownfield projects

1. Predictive Maintenance: Is it the best approach for Greenfield or Brownfield projects? Digital transformation in the industry entails the creation of connected enterprises wherein machines and people can seamlessly communicate and access relevant information in real time. Intelligently digitized factories are able to achieve plant reliability objectives while maximizing production uptime and maintaining optimal machine health. Where the application of smart automation, robotics, the internet of things (IoT), machine learning (ML) and artificial intelligence (AI) can make this strategically possible in new manufacturing sites, legacy sites often struggle to digitalize key operations. This evokes the question for many plant and maintenance leaders – is IoT-enabled Predictive Maintenance (PdM) suitable for greenfield (new) projects only or can brownfield (old) projects also successfully adopt it? This article will address this question and deliberate on the suitability of predictive maintenance in both greenfield and brownfield projects. Predictive Maintenance in Greenfield Projects To begin with, greenfield projects often have the advantage of factoring in scalable automation and digitalising processes from the off-set. The project plan accounts for such technologies and shop-floor teams are sensitized from the very beginning about the standard digitalized practices. Furthermore, there are no legacy applications to upgrade or distributed assets to integrate, calling for extensive change management. This makes it easy for plant and maintenance heads to pursue and achieve plant reliability objectives in brand-new manufacturing sites. A digitally transformed production unit can have ● All machines equipped with sensors or integrated chips to monitor ongoing operations ● Real-time information about asset availability and reliability, accessible through intelligent dashboards ● Sophisticated data storage and big data analytics to generate strategic insights

2. ● Established standard operating procedures (SOPs) to manage digitalized equipment with minimal manual intervention ● Blanket adoption of industrial IoT, AI and machine learning (ML) enabled technologies to support production and maintenance functions ● Safer work environments with minimal equipment breakdown and unplanned downtime To know more about plant reliability & predictive maintenance: https://www.infinite-uptime.com/predictive-maintenance-is-it-the-best-approach-for-greenfield-or- brownfield-projects/