With the convergence of IoT/IIoT & Digital Twins, businesses are moving towards building a Predictive maintenance model that optimizes maintenance cycle and balances between corrective and preventative maintenance approaches
Predictive models for maintenance solutions powered by digital twins help to precisely monitor equipment health and recognize potential anomalies and prevent future failure
Our DT consulting model leverages an execution playbook as well as a design thinking workshop to develop specific use cases for your organization based on an operational impact assessment with targeted ROI
While traditional Asset Performance Management (APM) focused on reliability engineering methods, APM 4.0 integrates IT & OT systems and connects the asset to the person in different stages of the asset lifecycle
Our APM strategy is more connected to systems – from engineering to operations and performance, creating a single integrated digital thread across the whole asset lifecycle, laying the groundwork for predictive alerts and prescriptive analytics
With APM powered by IoT/IIoT and AI-ML, organizations can leverage both equipment and process data to extend the life of their assets and achieve optimum reliability
Through our connected factory models, plant managers and supervisors can monitor the health, performance, and utilization of all applications, workloads, and infrastructure
We help businesses tap insights from the shop floor in real-time to make better, faster decisions using MT Connect, real-time OEE dashboards and remote visual inspections
Our IoT consultants leverage IoT services, edge computing, data lakes, and advanced analytics to capture, analyze, visualize, and execute on plant floor data, thereby offering a combination of control, visibility, and flexibility
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