MES Manufacturing Execution System
Proactive Intelligence, Sub-Second Response
Evolve from passive recording to proactive decision-making. Based on AI big data analytics, dynamically schedule production tasks across the plant in seconds, detect anomalies in real time, and adjust automatically to keep your factory running at peak performance.
Live Dashboard
Production Dashboard at a Glance
Below is a simulated real-time dashboard of 4 active work orders in Workshop 1, including OEE efficiency, order progress, and process status. The system auto-refreshes every 1.8 seconds — no manual operation needed.
Core Modules
Four Core Capability Modules
AI Smart Scheduling & Advanced Planning (APS)
A sub-second dynamic scheduling engine based on real-time capacity, order priority, and equipment load — replacing manual scheduling with 10x faster response to rush orders and equipment anomalies.
Scenario: A factory receives a batch of high-priority rush orders. In the traditional model, planners must stop everything, spend hours re-scheduling in Excel, and notify the workshop. With MES, simply input the rush order requirements — the AI scheduling engine evaluates all equipment status, shift schedules, and material inventory within 5 seconds, automatically computes the optimal plan with minimal disruption to the original schedule, and dispatches it to the corresponding machine terminals.
Full WIP Precision Tracking
From raw material arrival to finished goods warehousing, every work order, process step, and workstation status is visible in real time, forming a complete process record and anomaly traceability chain.
Scenario: A batch of phone mainboards shows a high failure rate for a specific component after shipment. Using MES bidirectional traceability, the operator enters the phone's SN code and instantly gets a complete production history: precisely identifying which employee, at what time, on which pick-and-place machine, using which solder paste batch — even retrieving the quality inspection images from that moment. Traceability drops from days to under 1 minute.
Comprehensive Quality Management (QMS) Closed Loop
Integrates first-article, in-process, and final inspection data. Connects with the ESOP visual verification system for real-time quality trend analysis, triggering SPC alerts and automatic isolation.
Scenario: In a CNC machining workshop, after an operator measures with a caliper, the data is transmitted via Bluetooth to MES. The built-in SPC chart plots dimensional trends in real time. When the system detects 5 consecutive workpieces approaching the upper tolerance limit (trend anomaly), it triggers an audible/visual alarm and locks the machine, forcing tool compensation — intercepting the risk of batch scrap before it happens.
Overall Equipment Effectiveness (OEE) Deep Analysis
Direct connection to equipment control systems for real-time collection of availability, performance, and quality rates — delivering the most authentic efficiency data.
Scenario: A workshop supervisor notices an injection molding machine consistently underperforming on daily output, yet no major fault is reported. Opening the MES OEE dashboard reveals 20+ micro-stoppages of 3-5 minutes each per day, caused by an intermittent false trigger from a material jam sensor. After identifying this hidden loss, the engineering team replaced the sensor, and the machine's OEE jumped from 65% to 85%.
Transformation
Traditional vs Digital Manufacturing
Break free from information silos and inefficient manual coordination — let data truly flow across the production line and drive fundamental change in how you manufacture.
Traditional Black-Box Manufacturing
Relying on experience and manual management
Production Scheduling
Excel or paper forms, scheduling takes hours to days — rush orders or equipment failures completely disrupt the plan.
Materials & Traceability
Paper work orders circulate with severely lagging data. Finding root cause of quality issues is like finding a needle in a haystack.
Quality Control
Reactive sampling inspection — high risk of defective outflow, error-proofing heavily dependent on operator experience.
Equipment Management
Equipment is a black box, relying on manual patrol inspections. OEE data is distorted or unavailable.
MES-Driven Transparent Factory
Data-driven proactive intelligent decisions
AI Smart Scheduling
APS algorithm based on multi-constraint optimization computes optimal solutions in seconds — one-click response to rush orders, maximizing capacity.
Unit-Level Precision Traceability
Barcode/RFID auto station passage with full digital recording of man-machine-material-method-environment — one-click generation of complete product genealogy.
Quality Closed-Loop Control
System-level error-proofing (mandatory routing), online SPC analysis with real-time alerts, automatic non-conformance isolation.
Transparent Equipment Monitoring
Direct PLC connection for real-time status collection, automatically generating accurate OEE reports, second-level fault push alerts.
Seamless Integration with the Zhijieli Ecosystem
MES natively integrates CCS device-level commands, WMS material pulling, ESOP visual verification, and the digital twin platform, supporting ERP/SAP bidirectional data exchange — building a complete closed loop from shop-floor equipment to top-level business systems. Can be gradually layered on existing systems without ripping and replacing.