MachineMetrics launches new production intelligence platform

MachineMetrics Production Intelligence

MachineMetrics unveils revolutionary automated schedule intelligence solution

MachineMetrics, a leading provider of analytics solutions for manufacturers, today announced the release of its groundbreaking Production Schedule Intelligence.

This innovative solution empowers manufacturers to leave behind outdated scheduling methods and embrace a future driven by real-time machine data, ensuring unparalleled scheduling accuracy, work-in-process optimization, and on-time delivery.

Transforming Scheduling Operations

Manufacturers have long relied on cumbersome spreadsheets and manual data entry for scheduling work, leading inevitably to inefficiencies and missed delivery deadlines.

MachineMetrics Production Schedule Intelligence addresses these challenges by seamlessly integrating real-time data and predictive analytics into the heart of manufacturing operations.

By connecting directly to both ERP systems and machines on the factory floor, MachineMetrics utilizes comprehensive data synchronization and real-time monitoring of production to ensure schedules are always current – and that they reflect actual shop floor conditions.

“A gap has always existed between the shop floor and operational systems like ERP. This disconnect has led to remarkable inefficiency, inflated costs, and poor on-time delivery metrics,” said Bill Bither, CEO and Co-Founder at MachineMetrics.

“The solution has never been just ‘monitoring machines’. Manufacturers need automated, actionable insights that guide decision-making.

By connecting operational systems like ERP with real-time machine data, MachineMetrics Production Intelligence has solved this crucial problem, helping our customers gain real-time visibility into the status of their work orders, reducing WIP, adapting their schedules on the fly, and, ultimately, delivering on time every time.”

Key Features and Benefits

MachineMetrics Production Schedule Intelligence boasts a range of features designed to enhance manufacturing efficiency and productivity:

  • Dynamic Schedule Optimization: Continuously assesses and adjusts production schedules based on real-time operational data, dynamically adapting the schedule to address machine downtimes and other production interruptions.
  • Real-Time Adjustments: Visualizes your scheduled OTD targets and predicts completion dates in real-time. Managers will know exactly when a job will be done, and can receive alerts when there is risk of missing OTD, allowing them to take action to intervene where necessary.
  • Interactive Production Order Management: Users can easily edit and re-sequence production orders through an intuitive drag-and-drop interface, with immediate feedback on schedule health.
  • Real-Time Impact Analysis: The system flags potential delays and adjusts work-in-process calculations dynamically, enabling proactive schedule management and empowering plant managers to make smart decisions based on real data.
  • ERP Data Utilization: Integrates seamlessly with ERP systems to use planned start dates and cycle times as reliable baselines for adjustments.

This latest release from MachineMetrics is just one in a series of recent feature and functionality updates that connect real-time factory floor data with operational systems, providing manufacturers with automated, actionable insights without requiring custom development or significant manual input:

  • Clickable ERP Integrations: Enable the seamless flow of operations, standards, and work orders between the factory floor and ERP with zero custom code needed.
  • Labor Ticket Entry: Automatically populate labor tickets with machine data to track production orders and part operations without manual data entry.
  • Anomaly Detection: Receive automated alerts when a tool anomaly is detected to prevent tool breaks and reduce scrap. No additional sensors are required.
  • Configurable Dashboards: Build custom dashboards in seconds. Mix and match charts, reports, and widgets to support any team’s KPI’s.
  • Production Analytics: Dive deep beyond machine data into production analytics, slicing data by part operations, completed work, and in-progress work.