Manage by leading indicators with real-time operational dashboards
Stop managing production from last week’s report.
Monitor cycle time, WIP, throughput, FPY, and NCR cycle time in multi-level dashboards, then spot trend changes and limit drift early.
You act before issues turn into missed milestones and rework.
Eliminate the "hidden factory" of data consolidation
No need to waste engineering hours to build custom scripts and apps pulling data from disconnected systems.
Connektica automatically correlates data across modules to generate instant reports on KPIs like throughput and yield.
You regain those hours for production optimization while ensuring your data is accurate and audit-ready.
Use historical execution data to confidently bid and optimize production
Don’t guess how much you should bid or where to invest.
Use historical cycle time, throughput, and quality data to quantify bottlenecks and precisely estimate your production costs.
Act on production issues before they turn into delays and rework
Statistical process control dashboards
Visualize process capability indicators such as CP and CPK to assess stability over time. Identify trends before they result in non-conformances.
Quality and deviation metrics visibility
Track FPY, NCR counts, and NCR cycle time tied to actual execution steps. Understand where quality losses originate.
Cross-module KPI correlation
View KPIs computed automatically from execution, quality, and test data. Eliminate manual consolidation and reduce reporting errors.
Bottleneck Identification
Pinpoint the exact stages where production stalls using historical cycle time and yield data. Quantify the impact of specific constraints to justify equipment or personnel investments.
Automated alerts on process deviations
Trigger notifications when measurements are missed, execution runs long, or deadlines are not met. Escalate issues immediately instead of discovering them late.
Boost productivity with Connektica's connected modules
Quality Management
Manage nonconformances and deviations tied to execution data, close corrective actions, and improve first pass yield.