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Core Module

Smart MES Manufacturing Execution System

A next-generation MES for discrete and process manufacturing: from order release, APS scheduling, work-order dispatch and shop-floor reporting to SPC inspection, equipment IoT, energy tracking and product traceability — connecting ERP to the production line and building an Industry 4.0 smart factory.

20+
MES Feature Modules
APS
Advanced Scheduling Engine
IoT
Equipment Connectivity
3D
Digital Twin Dashboard
OEE
Equipment Efficiency
SPC
Process Quality Control
SN
End-to-End Traceability
BOM
Multi-Level Materials
Business Process

From Order to Shipment: A Fully Digitized Manufacturing Loop

10 nodes connect the planning, execution and equipment layers, with every step trackable and every data point traceable

Sales Order→ MRP Material Demand→ APS Scheduling→ Production Work Order→ Process Dispatch→ Shop-Floor Reporting→ SPC Inspection→ Inbound & Delivery→ Traceability Archive
Feature Matrix

20+ Modules Covering Every MES Scenario

Organized into 5 business domains: planning & scheduling, execution control, quality management, equipment IoT and data analytics

📋 Production Work Orders

Convert sales orders / MTS stock orders to work orders in one click, with order merge/split/insert and emergency orders

📐 BOM Bill of Materials

Multi-version BOM, engineering BOM, substitute materials and wastage-factor management; auto-explode multi-level BOM for material calculation

📜 Process Routing

Multi-process routes, parallel processes and outsourced processes, with auto-tracked process parameters / standard time / yield

🗓 APS Advanced Scheduling

Finite-capacity scheduling using rule-based and heuristic algorithms, auto-scheduling under equipment/staff/material/tooling constraints

📥 MRP Material Requirements

The Master Production Schedule (MPS) drives MRP net-requirement calculation, auto-generating purchase and production suggestion orders

👥 Process Dispatch

Dispatch by equipment / team / worker, scan to claim work orders, with a live-refreshing process-flow kanban

📱 Shop-Floor Reporting

Report from PDA / tablet / PC, supporting process, summary and piece-rate reporting, linked to payroll

✅ First / In-Process / Final Inspection

Digitized three-inspection flow — production can't start until the first article passes, the line auto-stops on failed in-process checks, and results bind to processes

📊 SPC Statistical Process Control

Real-time computation of Xbar-R/Xbar-S/P/C control charts, automatic CPK/PPK reports, and out-of-spec alerts

🚨 Defect Management

Defect logging, root-cause analysis, rework/scrap workflows, with a defect-code library + auto-generated Pareto charts

📡 Equipment IoT

Connect PLCs, CNCs and injection machines via OPC-UA / Modbus / MQTT; auto-collect OEE (availability/performance/quality)

📉 OEE & Utilization

Equipment utilization, overall OEE and downtime cause analysis, with multi-dimensional drill-down by shift/line/equipment

🔧 Equipment Inspection/Maintenance

Daily checks / TPM maintenance plans, repair work orders, spare-parts inventory; predictive maintenance via vibration/temperature sensors

⚡ Energy Collection

Sub-metered collection of electricity/water/gas/steam, energy cost allocated by work order/product/process, with carbon-emission tracking

🔍 Product Traceability

Forward traceability (batch → finished goods) + backward traceability (finished goods → raw materials), with SN serial numbers binding all process records

📦 WMS Shop-Floor Warehouse

Work-order material picking, returns and delivery tasks, PDA scan inbound/outbound, auto-linked with the central warehouse

👥 Shifts & Labor Hours

Shift management, clock in/out, labor-hour stats and piece-rate wages; seamlessly connected with OA attendance

📺 Andon

Call for supervisor/material/quality/maintenance, with response-time stats; multi-channel alerts via shop-floor big screen + WeChat push

💻 Digital Twin Dashboard

Real-time mapping of 3D shop-floor layout, color-coded equipment status, order progress animation, one-click projection to industrial big screens

📈 Production Analytics Reports

Reports across 6 dimensions — output / yield / labor / cost / equipment / energy — exportable to Excel / PDF / BI

A Closer Look

From Work Order to OEE, Let Shop-Floor Data Drive Decisions

shangbangke.com/mes/aps/scheduleOptimized
AAPS Advanced Scheduling · Weekly Plan
96.4%
On-time delivery rate
86.2%
Equipment utilization
12
Changeovers
3
Delay risks
MonTueWedThuFri
CNC-01
WO-001 · Huasheng ×1200
WO-005 · ×800
WO-008 · Mingyuan ×1500
CNC-02
WO-002 · ×1000
WO-006 · ×600
WO-009 · ×1200
Injection INJ-01
WO-003 · ×500
WO-004 · ×900
WO-010 · Rush ×800
Assembly ASM-01
WO-007 · ×400
WO-011 · ×700
WO-012 · ×600

APS Advanced Scheduling: Boost Capacity Utilization by 20%+

An APS engine based on constraint programming + heuristic algorithms simultaneously considers equipment capacity, staff skills, material readiness, tooling/fixtures, process priority and delivery commitments, generating executable finite-capacity schedules in seconds.

  • Multi-objective optimization: delivery attainment / equipment use / minimum changeovers
  • One-click reschedule for inserted/rush orders, with auto-alerts on affected work orders
  • Gantt-chart visualization with manual drag-and-drop fine-tuning
  • What-If simulation and scenario comparison
shangbangke.com/mes/iot/oeeLive
OOEE Overall Equipment Effectiveness · Live
CNC-01
92%
Running
CNC-02
88%
Running
INJ-01
85%
Running
INJ-02
62%
Changeover
SMT-01
0%
Faulted
ASM-01
94%
Running
ASM-02
90%
Running
QC-01
76%
Awaiting material
PCK-01
82%
Running
PCK-02
—
Planned stop
CNC-03
89%
Running
SMT-02
91%
Running
96.2%
Availability
×
92.4%
Performance
×
98.6%
Quality
=
87.6%
Overall OEE

Equipment IoT: Sync from Machine to Big Screen in Seconds

Supports 20+ industrial protocols including OPC-UA / Modbus / MQTT / Profinet / S7 / FINS, collecting equipment data every second, auto-calculating OEE and utilization, and auto-classifying downtime causes.

  • 20+ industrial protocols, no PLC secondary development needed
  • Edge gateways cache locally and resume after network loss
  • Automatic OEE calculation = availability × performance × quality
  • Auto-classified downtime causes (fault/changeover/material/planned)
shangbangke.com/mes/trace/SN-2026A8001-00128Trace
TFull-Process Quality Traceability
PRODUCT SN
SN-2026A8001-00128
Product: Smart Controller V3 · Batch B-26050918 · Shipped to: Huasheng Tech
Material · BATCH
Main chip RTL-8211 · Batch RM-26041203
Supplier: Jinghui Precision (Suzhou) · Inbound: 2026-04-15 · IQC passed
SGS ReportRoHS Certified
Process · SMT Placement
SMT-01 · Operator Mr. Zhang · May 18 09:32
Reflow temp 245.2°C · Cycle 3.8s · First article passed · IPC-A-610 standard
SPC In ControlProgram v2.4
Process · Assembly
ASM-02 · Operator Mr. Li · May 18 14:18
Torque 1.8 Nm · Screw batch SC-26050102 · Assembly video archived
Torque In ControlVideo Archived
Inspection · Final
QC-01 · Inspector Mr. Chen · May 19 10:05
Full functional test PASS · 12h burn-in · Packing no. PKG-26052003
Inspection ReportBurn-in Curve
Shipment · Customer
Huasheng Tech · Mr. Wang · Shipped May 20
Tracking SF1234567890 · Received: 2026-05-21 14:32
E-signed Receipt

Full-Process Quality Traceability: From a Single Screw to a Whole Vehicle

Each SN serial number binds all data — raw-material batch, process parameters, operator, equipment, inspection results and packing/shipping. When a customer complains, you pinpoint the affected scope in minutes and cut recall costs by 80%.

  • Forward traceability: material batch → semi-finished → finished → customer
  • Backward traceability: customer/SN → full production chain
  • QR code / barcode / RFID / NFC multi-identifier support
  • Meets automotive IATF 16949 / medical ISO 13485 traceability requirements
shangbangke.com/mes/digital-twin3D
DDigital Twin Shop Floor · Panorama
⚙️
CNC Area
3/3
🏭
Injection
2/2
🔌
SMT Area
1/2
🛠️
Assembly
2/2
🔬
Inspection
98.6%
📦
Packing
1/2
📥
Raw Material WH
¥4.8M
📤
Finished WH
2,486
⚠️
SMT-01
Faulted
👷
Night Shift
28 staff
🚚
Logistics
12 orders
📊
Overview
OEE 87.6%
🔥
Energy
486 kWh
🌡️
Environment
23°C · 45%
✅
Yield
98.6%
Running Abnormal / Idle Faulted Data Stopped

Digital Twin Shop-Floor Dashboard: What-You-See-Is-What-You-Get on a 3D Big Screen

Built on Three.js + WebGL to render a 3D shop-floor replica, equipment status, order progress, staff distribution and material flow are mapped in real time with animation — control factory tours, dispatching and diagnosis on a single screen.

  • 3D shop-floor layout editor (drag-and-drop modeling)
  • Color-coded equipment status: green running / yellow idle / red fault
  • Order-progress carts flow along the process route
  • Synced across 4K industrial big screen / web / tablet
shangbangke.com/mes/quality/spc/SMT-01In Control
SSPC Control Chart · SMT Reflow Temp
UCL = 248.5°C
CL = 245.0°C
LCL = 241.5°C
08:0010:0012:0014:0016:0018:00
Cpk 1.42
Process Capability
σ 1.08
Std. Deviation
2
Out-of-Spec
In Control
Trend

SPC Statistical Process Control · Trend Alerts

X-R chart / Cpk auto-calculated, with key quality metrics monitored in real time. UCL / LCL auto-detect anomalies, and 7-point one-sided runs, out-of-spec points and abnormal trends trigger immediate alerts — preventing quality problems instead of firefighting them.

  • 5 control charts: X-R / X-S / I-MR / histogram
  • Automatic detection of the 8 Western Electric rules
  • Real-time Cpk process-capability index calculation
  • Anomalies pushed in real time to Email / WeChat / big screen
shangbangke.com/mes/bom/HW-A80015 levels
BBOM Bill of Materials · Smart Controller V3
▼📦HW-A8001 · Smart Controller V3
Demand 1,500
In stock 2,486 ✓
L0 Finished
 ├▼⚙️Main board PCBA-V3
×1
2,486 ✓
L1 Semi-finished
 │ ├📱Main chip RTL-8211
×1
3,200 ✓
L2 Material
 │ ├🔌Power chip LDO-3V3
×2
1,240 (tight)
L2 Material
 │ └🧩PCB board
×1
2,800 ✓
L2 Material
 ├▼🏠Housing assembly
×1
1,820 ✓
L1 Semi-finished
 │ ├📐Top cover (injection)
×1
2,100 ✓
L2 Material
 │ └🔩Screw M3×6 SC-2050102
×4
2,800 (short 3,200)
L2 Material
 └📦Packaging
×1
5,800 ✓
L1 Packaging

Multi-Level BOM + Readiness Analysis

A 5+ level deep bill of materials that expands/collapses freely. One-click readiness analysis shows which materials are ready, how short the others are and when they'll arrive, with shortage risks red-flagged at a glance — no more shop-floor arguments before kickoff.

  • Unlimited-level BOM with engineering / manufacturing / sales views
  • Flexible config of substitutes / optional items / wastage rates
  • Readiness analysis with intuitive red/yellow/green display
  • BOM changes run through approval, with traceable versions
shangbangke.com/mes/work-order/kanbanKanban
WWork-Order Kanban · Drag & Drop
86
To start
42
In production
8
Paused (abnormal)
128
Completed today
To Start 86
WO-26052015
Smart Controller V3 × 1,200
📅 05-23Unscheduled
WO-26052016
Main board PCBA × 800
📅 05-24Scheduled
In Production 42
WO-26052010
Injection parts × 5,000
INJ-0168%
WO-26052011
SMT placement × 2,400
SMT-0242%
WO-26052012
Assembly × 1,500
ASM-0188%
Paused 8
WO-26052007
PCB soldering × 800
⚠ SMT-01 fault
WO-26052008
Injection parts × 1,200
⚠ Mold maintenance
Completed Today 128
WO-26051908
Controller V2 × 600
✓ QCYield 99.2%
WO-26051909
Housing × 1,200
✓ QCYield 98.8%

Work-Order Kanban: Visualized from Order to Completion

A kanban view intuitively shows work-order flow: To Start → In Production → Paused → Completed. Each card includes a progress bar, equipment assignment, owner and due date, so supervisors grasp the whole shop floor in 30 seconds.

  • Drag-and-drop kanban flow with permission isolation
  • Live progress per work order + equipment/team binding
  • Abnormal work orders red-flagged and auto-pushed to supervisors
  • Completion auto-calculates labor hours and yield
shangbangke.com/mes/routing/WO-26052012In Process
RProcess Routing · WO-26052012
1
Cutting
CNC-01 · 0.5h
→
2
SMT Placement
SMT-02 · 1.2h
→
3
Reflow Soldering
Temp 245°C · 0.3h
→
4
Assembly
ASM-01 · 1.5h
→
5
Test & Burn-in
QC-01 · 12h
→
6
Pack & Inbound
PCK-01 · 0.4h
Cutting
SMT
Reflow
Assembly ← now
Test & Burn-in
Pack
Total time 15.9h · Used 3.0h (19%) · Remaining 12.9h ETC: 2026-05-23 04:30

Process Routing · Visualized Process Flow

Each work order links to a complete process route (cutting → SMT → reflow → assembly → test → packing), with every process bound to equipment, standard time and inspection requirements. Completion time is accurate to the minute.

  • Visual process-route editor (drag-and-drop nodes)
  • Each process bound to equipment / time / inspection items
  • Live progress timeline with auto-calculated remaining hours
  • Reusable route templates — launch a new product in 5 minutes
Module Synergy

MES Is No Island — Fully Connected with Every SBK Module

From customer order to production execution to finished-goods delivery, data flows end to end

Industries

Who Should Use Smart MES

Frequently Asked Questions

Which industrial protocols does SBK MES support?

It supports 20+ industrial protocols including OPC-UA / Modbus / MQTT / Profinet / Siemens S7 / Mitsubishi MC / Omron FINS.

What APS scheduling algorithm does SBK MES use?

An APS engine based on Constraint Satisfaction (CSP) plus heuristic algorithms, simultaneously considering equipment capacity, staff skills, material readiness, tooling/fixtures, process priority and delivery commitments.

Does SBK MES support quality traceability?

Yes. Each SN serial number binds all data — raw-material batch, process parameters, operator, equipment, inspection results and packing/shipping — meeting automotive IATF 16949 and medical ISO 13485 traceability requirements.

Let Shop-Floor Data Speak, and Ground Production Decisions in Evidence

Sign up to try all Smart MES features for free; existing customers can activate in one click with no data migration