Delpheon MES connects machines, people and production workflows—bringing real-time visibility into OEE, downtime, quality and traceability, with Assisted AI insights from the shop floor to management.
Delpheon MES doesn't just display data—it gives it context. Machine and production information is organised to highlight performance losses, process deviations and actions that need attention.
Monitor machine status, production output, cycle time and downtime in real time. Calculate OEE and identify losses across availability, performance and quality.
Manage quality inspections, recipes and critical process parameters. Record deviations and ensure production follows approved specifications.
Track equipment conditions, maintenance schedules and breakdown events. Generate alerts and initiate preventive or corrective maintenance workflows.
Maintain material genealogy from incoming material to finished product. Guide operators using digital SOPs, checklists, skill validation and role-based authorisation.
Delpheon Gateways capture machine and process data continuously without interrupting production.
Data is organised by machine, work order, product, batch and shift to create meaningful production context.
Rules and analytics compare operating conditions with configured limits and historical patterns to highlight deviations.
Assisted AI and contextual insights help teams investigate likely causes and prioritise production, quality or maintenance action.
Configured workflows can initiate notifications, work orders, approvals, schedule updates and ERP transactions.
Downtime discovered hours after it starts. Root cause guessed from memory at shift-end debrief.
AI detects speed drops and voltage anomalies within seconds. Automated and on alert to supervisor and maintenance before the cycle time is missed.
OEE calculated from shift-end data entry. Numbers look fine until an audit reveals they were optimistic.
Machine-connected OEE is updated using production data. Losses are classified across availability, performance and quality.
Calendar-based PM replaces parts that are fine. Critical breakdowns still happen between scheduled visits.
Condition-based alerts use parameters such as vibration, temperature and current to identify developing issues and initiate maintenance workflows.
Customer quality complaint triggers a 3-day manual trace through batch records and paper test results.
Each batch is connected with material, machine, process, operator and quality information for faster forward and backward traceability.
SAP receives rounded production confirmations at shift end. Inventory variance runs ₹30–50L per month.
Machine-confirmed production actuals can be integrated with SAP, Oracle or other ERP systems to improve production reporting and inventory reconciliation.
Start with 3-5 machines and see live OEE, production and downtime insights within 48 hours—without disrupting operations. Evaluate the data, understand the opportunity and scale at your own pace.