One Digital Factory | Many Outcomes
DFX powers your digital journey with a suite of manufacturing apps.
Real-time monitoring, analytics & alerts on production and productivity KPIs.
Real-time & automatic process compliance, analysis, and alerts
Enable real-time condition/periodic/planned maintenance, analytics, alerts, maintenance records, & history
Digitization for paperless operations with reporting and alerts
Digitize engineering document management and rendering to different user personas
Monitoring, analytics, and alerts on key energy and utilities KPIs
Real-time track and trace, anomaly detection, and analytics
Enable dashboards, interplant operations monitoring, and analytics for the C-level
Build Machine Learning models, deployment on live streaming data
Operator Workbench to provide inputs, raise alarms, call for support and refer to the documentation
Real-time plan vs actual visibility, bottleneck identification, and analytics
Empower business users to build and publish inter-dimensional dashboards
Measurable Impact Across Verticals
Automotive
With DFX, automotive manufacturers across the globe are removing bottlenecks in operations and controlling conversion costs due to increased visibility.
REDUCED UNPLANNED DOWNTIME PER MACHINE
1,500 hours
REDUCED LABOR COST
25%
REDUCED ELECTRICAL ENERGY PER PLANT
43,000 units
REDUCED REWORK PER LINE
450 hours
* Annual average
F & B
DFX has introduced predictability in the CPG supply chain and operations, helping manufacturers digitally trace their raw material sources and processing conditions.
REDUCED UNPLANNED DOWNTIME PER MACHINE
1,400 hours
REDUCED LABOR COST
20 ‒ 22%
REDUCED SHIFTS FOR THE SAME LEVEL OF DEMAND
600 shifts
REDUCED POOR QUALITY, YIELD OR REWORK
21%
* Annual average
Industrials
DFX is helping Industrials sector optimize the energy & consumables consumption, monitor critical machine parameters, remove bottlenecks and perform root cause analysis.
REDUCED UNPLANNED DOWNTIME PER MACHINE
2,400 hours
Improved capacity utilization and insourcing
30 ‒ 35%
REDUCED TOTAL MANUFACTURING LEAD TIME
45%
REDUCED ELECTRICAL ENERGY PER PLANT
48,000 units
IMPROVED ORDER DUE DATE ADHERENCE
36 ‒ 38%
Chemicals
With DFX, chemical manufacturers are breaking data silos to improve overall rolled throughput yield, reduce energy & utilities consumption and predict outcomes with increased accuracy.
REDUCED UNPLANNED DOWNTIME PER MACHINE
380 hours
REDUCED FUEL CONSUMPTION FOR HEATING
8,000 Kgs
REDUCED ELECTRICAL ENERGY PER PLANT
74,000 hours
REDUCED POOR QUALITY, YIELD OR REWORK
32%
* Annual average
Pernod Ricard India
Pernod Ricard benefits from Industrial AI initiative partnered with Altizon to enhance efficiency and Quality
Manufacturing data lake creation using Datonis Edge and Datonis
Unleashing power of Analytics and AI thru DFX
Continuous Improvement thru live data
Debanjan Banerjee, CIO of PRI.
" With the enablement of this digital capability around IIOT platform, we have put the foundation of our Smart Factory blueprint. The implementation of this first successful use case has demonstrated the potential impact this could have in improving productivity. Technology augmented with right processes and capability drives meaningful action, which is what we expect to see in coming months, as we extend this to other manufacturing units. Altizon’s products, best practices and experience, coupled with PRI’s strong IT and operations teams, have led to the success "
Sundaram Clayton Limited
Sundaram Clayton Accelerates IIoT Led Manufacturing Transformation Journey With Altizon’s DFX
Vivek Joshi, President & CEO, of SCL
“We believe Altizon’s Datonis Digital Factory can accelerate sustainable, tangible benefits for our Digital Transformation journey. These benefits include, significantly improving throughput and productivity, turbocharge Total Predictive Maintenance excellence objectives, assuring process compliance and product quality, by facilitating end-to-end visibility of our manufacturing operations"
SRF Connects a Complex Chemical Manufacturing Process and Drives Improvements in Product Quality
Quality improvement by deep analysis of parameters critical to the manufacturing process
Optimization of fuel and power consumption
Reduction of line breakages and improving overall productivity by predictive maintenance
Bimal Puri, VP and CIO – SRF Limited
" At SRF, we use IoT data for correlating process parameters, which helps us with better planning and cost savings. We have adopted many automation technologies and are now moving on to predictive analytics. The technology that we invested in is showing returns today. "
JK Tyre Achieves Continuous Process Quality Optimization and Condition Monitoring With Datonis
Bridging the gap between critical processes, from mixing, calendaring and extrusion to cutting, winding and curing
Constant process quality optimization and predictive maintenance
ERP integration for increased visibility and prudent production planning
Anil Makkar, Manufacturing Director – JK Tyre
" We are using Altizon’s platform as the single source of truth for monitoring our operational KPIs and continuous improvement initiatives. We are in the process of scaling the solution to multiple plants. "
