Stamping and Metal Forming Industry Solution
End-to-end digitalization around presses, dies, changeovers and batch traceability connects blanking, stamping, inspection and warehousing, making the stamping shop transparent, controllable and measurable.
Four typical challenges in stamping shops
Presses are highly automated, but planning, die, equipment and quality data are fragmented, and management granularity struggles to match high-mix low-volume delivery rhythms.
High-mix low-volume, changeovers eat capacity
Small order batches and many variants mean die changes and setup repeatedly interrupt production, with changeovers consuming a large share of effective stamping hours.
Coarse die life management
Issuing, maintenance, grinding and scrapping rely on paper ledgers. Remaining life and cumulative strokes are opaque, so abnormal wear often turns into batch quality incidents.
Hard to track strokes and utilization
Strokes and running status are recorded by manual meter reading or estimated afterward. Utilization and cycle-time data are unreliable, unable to support real capacity assessment or scheduling decisions.
Heavy batch quality traceability pressure
Material batches, dies, equipment parameters and personnel are recorded separately. When batch defects or complaints occur, tracing is slow and root causes are hard to pinpoint.
End-to-end digitalization from blanking to stamping, inspection and warehousing
With Qicheng MES at the core, orders and scheduling connect from above while press, die and inspection data connect below. Every step in the stamping shop joins one data backbone, making plans executable, processes monitorable and results traceable.
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Blanking and dispatch: Bind coil or sheet batches to work orders and assign tasks automatically based on press capability and die status.
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Stamping execution: Automatically capture strokes, cycle time and equipment status, calculating utilization and cumulative die strokes in real time.
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Inspection and warehousing: Record first/last-piece and patrol inspection data online, warehouse conforming parts by batch and form a complete traceability chain across material, die, equipment and personnel.
Today's strokes
126,840
↑ 5.4%
Equipment utilization
87.2%
↑ 3.1%
First-pass yield
98.9%
↑ 0.8%
Press load distribution
Real timeDie life warning
Cumulative strokes have reached 92% of die life; schedule grinding after this shift.
ChangeXiaocheng AI suggests moving WO-2085 from Line 3 to Line 5, estimated to cut changeover time by 12 minutes.
Six core application scenarios
From dies to equipment and from changeovers to traceability, each high-frequency stamping shop management action is addressed.
Full die lifecycle management
Create an electronic record for each die covering receiving, issuing, mounting, maintenance, grinding and scrapping, with remaining life and cumulative strokes visible in real time.
- · Online die ledger, drawings and history
- · Life threshold alerts and automatic maintenance reminders
- · Automatic linking of dies to work orders and equipment
Rapid changeover management
Break changeovers into standard actions and time standards, record each changeover duration against standard, identify bottleneck actions and continuously shorten changeover time.
- · Digital changeover SOP with step confirmation
- · Automatic changeover time tracking and ranking
- · Merge similar work orders in scheduling to reduce changeovers
Stroke and equipment utilization capture
Capture press strokes and run/stop/alarm status directly through an IoT gateway, automatically calculating utilization, cycle time and OEE instead of manual recording.
- · Real-time stroke counting with shift-based statistics
- · Categorized downtime capture with quantified losses
- · Compatible with mainstream PLCs and legacy equipment retrofits
Batch-level quality traceability
Use the batch as the thread through material, die, equipment parameters and inspection data. Trace forward to destinations and backward to sources, cutting complaint traceability from days to minutes.
- · Two-way binding of material heat numbers and finished-goods batches
- · Online records for first/last-piece and patrol inspection data
- · One-click impact scope for quality issues
Intelligent scheduling
Generate schedules automatically from due dates, press tonnage, die availability and changeover time. Rush orders are rescheduled in seconds, steadily improving on-time delivery.
- · Multi-constraint optimization balancing delivery and machine load
- · Merge work orders using the same die to reduce changeovers
- · Visual scheduling rationale with planner fine-tuning
Predictive press maintenance
Build equipment health models from vibration, current, temperature and lubrication status, warning of potential failures in advance and turning emergency repairs into planned maintenance.
- · Equipment health scoring and remaining useful life prediction
- · Early fault warnings shift maintenance from reactive to proactive
- · Spare parts demand forecasting for better inventory
Quantifiable results
Figures below are averages from live stamping customers; actual results vary with factory foundations and management maturity.
+18%
Monthly capacity increase
-22%
Changeover time reduction
-45%
Unplanned downtime reduction
100%
Batch traceability
Implementation results in stamping
Real improvements from structural parts, metal forming and other application scenarios.
An automotive structural parts stamping plant
After deploying Qicheng MES and Xiaocheng AI scheduling, die life warnings replaced reactive repairs, changeover actions were standardized and complaint traceability dropped from 2 days to 10 minutes.
+18%
Monthly capacity
-22%
Changeover time
10minutes
Batch traceability
A precision metal forming company
With IoT equipment data and predictive maintenance, press utilization became transparent, unplanned downtime fell significantly and OEE rose from 68% to 81%.
-45%
Unplanned downtime
81%
Equipment OEE
98.9%
First-pass yield