Product Introduction

Exclusive MES System For Precision Manufacturing Process

this MES system is a set of special digital control platform for the whole production process. based on industrial internet of things, data collection, AI process optimization and full link traceability technology, the exclusive control module is customized for core production factors, covering the whole life cycle management from order scheduling, prenatal preparation, process control, process monitoring, quality inspection, equipment mold management, energy consumption control to finished product delivery.

the system is deeply adapted to the differentiated production logic of complex processes, focusing on core scenarios such as core equipment linkage, mold life cycle management, real-time acquisition of key process parameters, raw material recovery control, molding defect error prevention, intelligent scheduling and mold replacement, etc., to precipitate the enterprise's exclusive process knowledge base, to solve the manual machine experience can not be inherited, parameter fluctuations lead to unstable yield, mold life control and other industry pain points. At the same time, it adapts to various post-processing processes, focusing on controlling key parameters such as product thickness, color difference, curing temperature, processing time, concentration of liquid medicine, baking environment, etc., to realize color change optimization, defect intelligent identification, batch traceability, fine control of energy consumption loss, and solve management problems such as uneven color difference, missing defects, large loss of production exchange, poor process consistency, etc.

At the same time, the system supports seamless connection with ERP, WMS, equipment PLC, quality inspection equipment and environmental monitoring equipment, breaking the isolated island of information, realizing real-time visualization of production data, automatic early warning of process abnormalities and digitization of production decision-making, and is the exclusive digital control core carrier of multi-process composite production workshop.

Product Positioning

Focus on Precision Manufacturing, Refined Intelligent Production

Distinct from the standardized control model of generic MES, it deeply adapts to the characteristics of processes like molding and post-processing.

Industry Positioning

This MES is a refined intelligent manufacturing execution system focused on the two core process scenarios of precision manufacturing and post-processing. Unlike the standardized control model of generic MES, it deeply adapts to the production characteristics and industry pain points of processes such as molding, painting, plating, anodizing, and electrophoresis. It is specifically built for manufacturing enterprises in industries like plastic products, automotive parts, 3C electronics, and hardware accessories, where precision manufacturing and post-processing are core operations.

Core Positioning

The system is positioned around the core principles of "controllable processes, traceable quality, reducible costs, and improvable efficiency." It breaks down data silos across the entire chain of workshop equipment, process parameters, production flows, quality inspections, tooling/fixtures, and energy/material consumption. It addresses common industry challenges such as drifting molding parameters, chaotic tooling management, color differences and defects in post-processing, inconsistent process standards, difficult batch traceability, high changeover losses, and weak environmental and energy consumption control.

Value Positioning

It empowers enterprises to achieve standardized, digital, and intelligent lean production for their two core processes. The system adapts to high-mix, low-volume, and customized production models, meeting the quality audit and compliant production requirements of high-end customers.

Core Product Value

Controllable Processes, Traceable Quality, Cost Reduction & Efficiency Improvement

Each core value is tailored to the actual scenarios of precision manufacturing and post-processing, solving the pain points of intelligent manufacturing in this industry.

(1) Standardized Process Control to Resolve Quality Fluctuations

To address the industry's high reliance on veteran operators' experience, arbitrary adjustments of process parameters, and poor product consistency, the system automatically collects critical parameters. This includes molding parameters such as clamping force, injection pressure, melt temperature, and cooling time, as well as post-processing parameters like spray flow rate, curing temperature/humidity, plating current/voltage, and oxidation duration. The system binds these to standard process models, triggering automatic alerts and machine lockouts when parameters deviate from set thresholds, thereby preventing human error. By continuously learning from high-quality production data, it builds a standardized process library, enabling rapid replication of processes for new production lines and employees, thus solving the problem of process knowledge gaps. Through AI-driven optimization of color change sequences, it minimizes defects like color differences, sagging, pinholes, and delamination, ensuring consistent cross-batch product quality and significantly reducing the risk of quality fluctuations.

(2) End-to-End Traceability for High-End Compliance

The system constructs a bidirectional traceability framework linking "orders-materials-tooling-equipment-process parameters-quality inspection results-operators". In the precision molding stage, it traces the equipment status, mold life, real-time parameters, and raw material batch for each molded product. In the post-processing stage, it records the entire journey of each workpiece, including process parameters (e.g., chemical concentration, baking profiles), environmental data, quality inspection records, and changeover information. When a quality anomaly occurs, the system can pinpoint the root cause (e.g., a specific raw material batch, process deviation, or equipment malfunction) within seconds, preventing mass defects. This level of traceability perfectly meets the stringent requirements of high-end industries such as automotive, medical, and aerospace, including standards like IATF 16949 and ISO 13485, thereby reducing customer complaints and rework costs.

(3) Cost Reduction & Efficiency Improvement Across the Production Value Chain

In Precision Molding: Through full lifecycle management of tooling and fixtures, the system monitors mold usage count, maintenance cycles, and remaining lifespan in real-time, reducing downtime and scrap caused by mold failures. The intelligent scheduling system optimizes the matching logic between equipment, tooling, and orders, enabling rapid response to rush orders and mold changes, thus improving Overall Equipment Effectiveness (OEE). In Post-Processing: Intelligent sequencing optimizes the continuous production of similar colors, reducing the consumption of paints/chemicals and the cost of cleaning between color changes. It monitors energy, chemical, and material consumption in real-time while managing scrap and waste. Automated data collection replaces manual statistics, reducing administrative workload by over 30%. A multi-dimensional cost analysis model helps drive overall manufacturing cost reductions of 8-15%.

(4) Transparent Management for Data-Driven Intelligent Decision Making

Real-time visual dashboards display key metrics such as equipment OEE, production progress, yield rate, abnormal alerts, and energy consumption for molding machines and production lines, eliminating the "information black box" of the workshop. Management can remotely monitor production dynamics and quickly respond to equipment failures or process anomalies. The system automatically generates multi-dimensional reports on production performance, quality analysis, equipment efficiency, and cost structure. Through Statistical Process Control (SPC) and AI-powered anomaly diagnosis, it drives the transformation of production management from "experience-driven" to "data-driven", helping enterprises build a digital, transparent factory and enhancing management decision-making efficiency and market responsiveness.

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