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Product Introduction

Dedicated SPC System For Multi-Process

the multi-process special SPC system is an intelligent quality control product based on the core principle of statistical process control (SPC), combined with the unique parameters of various processes and production pain points, and integrates "data collection-analysis and early warning-process optimization-traceability closed loop-system integration.

 

The core of the product is "collection, intelligent analysis, closed-loop control, and strong adaptability, in view of the common pain points of the core process (such as multi-hole consistency, parameter drift, equipment wear, etc.) and the key problems of the post-processing process (such as film thickness uniformity, material stability, environmental fluctuation, etc.), the real-time monitoring, abnormality early warning, root cause analysis and process improvement of the whole process are realized through dedicated algorithms and functional modules, helping enterprises to stabilize production, reduce defects, improve efficiency and precipitate knowledge, promote the digital and intelligent transformation of the manufacturing process.


the core adaptation scenario of the product includes multi-process production lines (such as precision manufacturing, post-processing production lines, etc.), which can cover the whole process from raw material input, production and manufacturing to finished product inspection, and supports centralized management and remote operation and maintenance of single and multi-factories.

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Product Positioning

Industrial-Grade SPC System Tailored for Precision Manufacturing and Other Industries

Positioned as the "Guardian of Process Stability, Controller of Quality & Cost, and Enabler of Smart Production," achieving closed-loop management of "Process-Quality-Equipment-Planning".

  • Industry Positioning

    Designed for the production workshops, quality departments, and process engineering teams in precision molding, this solution is adaptable to scenarios ranging from small-to-medium production lines to large-scale smart factories. It deeply addresses the core pain points and production characteristics of both molding and post-processing. Unlike generic SPC products, it helps enterprises break free from the passive "post-inspection" model and advance to a new stage of refined production characterized by "prevention beforehand, control during the process, and traceability afterward."

  • Functional Positioning

    Based on the core principles of Statistical Process Control (SPC) and combined with the unique parameters and production pain points of precision molding, this is an intelligent quality control product that integrates "data acquisition, analysis & alerting, process optimization, traceability & closed-loop, and system integration." It features built-in proprietary analysis algorithms and functional modules to achieve real-time monitoring, anomaly alerts, root cause tracing, and process optimization throughout the entire production lifecycle.

  • Value Positioning

    As the "Guardian of Process Stability, Controller of Quality & Cost, and Enabler of Smart Production," the system can seamlessly integrate with a company's existing MES, QMS, ERP, and production equipment. It helps enterprises stabilize molding and post-processing operations, reduce defect rates, improve production efficiency, and accumulate process knowledge. This drives the digital and intelligent transformation of production processes while supporting the process upgrade and self-reliance needs of domestic manufacturing.

  • Core Product Value

    A Quality Control Powerhouse Tailored for Precision Manufacturing & Post-Processing

    Focused on Monitoring Process Variability, Preventing Defects, Enabling Full Traceability, and Driving Smart Optimization to Solve Core Pain Points in Discrete Manufacturing

  • (1) Control Processes & Reduce Quality Costs

    Provides industry-specific solutions to prevent defects at the source. For precision manufacturing, it enables millisecond-level data collection and monitoring of critical equipment parameters (e.g., temperature, pressure), supports comparative analysis across multiple workstations/cavities for rapid root cause identification, and monitors trends in mold/fixture wear to provide early warnings, effectively solving common issues like short shots and flash. For post-processing, it collects core process parameters (e.g., vacuum level, concentration, temperature) and focuses on monitoring the stability of critical quality characteristics (e.g., film thickness/coating uniformity), while alerting on environmental anomalies (e.g., vacuum leaks, chemical concentration deviations). On the quality control front, the system features 8 built-in Western Electric rules for identifying special causes of variation, automatically generates control charts and process capability reports, and provides three-tier real-time alerts for process instability. This shifts quality control from "post-production inspection" to "in-process prevention," achieving an average defect rate reduction of over 30%.

  • (2) Full-Process Traceability & Closed-Loop Management

    Builds a comprehensive traceability system that links "equipment - parameters - batch/work order - workstation/fixture - workpiece - inspection results - operator." By entering any traceability code, users can quickly retrieve all parameter curves, inspection data, and anomaly records for the corresponding production cycle, meeting customer audit and industry compliance requirements. Simultaneously, it establishes a closed-loop anomaly management mechanism. When an alert is triggered, the system automatically generates an anomaly report and guides users through a standardized "containment action - root cause analysis - corrective action - verification - closure" process, integrating with 8D reports. This creates a searchable knowledge base of anomaly cases to prevent recurrence and significantly improve the efficiency and standardization of issue resolution.

  • (3) Empower Process Optimization & Build Corporate Knowledge Assets

    Through analysis and mining of massive production data, the system uncovers deep correlations between key process parameters and product quality using techniques like parameter linkage analysis, correlation, and regression analysis. It then automatically recommends optimal parameter ranges, supporting efficient New Product Introduction (NPI) and process debugging, thereby shortening process validation cycles. Additionally, it helps companies build a standardized process knowledge base with version control and permission management for process recipes. This allows the company to capture and preserve optimal process parameters and control limits, preventing the loss of critical know-how due to personnel turnover. It transforms individual "craftsmanship" into enterprise-wide "technology" that can be reused and iterated upon, driving continuous improvement in overall process capability.

  • (4) Seamless System Integration & Enhanced Production Efficiency

    Breaks down information silos by enabling bidirectional data synchronization with existing enterprise systems such as MES, QMS, and ERP, ensuring seamless connectivity of production plans, work orders, and inspection standards. SPC data can drive real-time, fine-tuned adjustments in MES and support QMS in completing quality system audits. The system also deeply integrates with various industrial devices like PLCs, CNCs, and robots, enabling real-time parameter fine-tuning and advanced control functions like anomaly-triggered automatic shutdown, forming an intelligent "monitor-alert-adjust-validate" closed loop. It supports multi-platform access via Web, workshop large screens, and mobile devices, providing real-time dashboards for core production metrics like OEE, yield rate, and Cpk, enabling managers at all levels to stay informed and make quick decisions.

  • (5) Flexible Deployment & Low Implementation Barrier

    Supports both on-premise private deployment and cloud-edge collaboration models. On-premise deployment ensures the security and low-latency access of core enterprise data, making it ideal for large groups with high data privacy requirements. The cloud-edge model supports remote expert maintenance and elastic resource scaling, perfectly suited for multi-factory, cross-regional conglomerates seeking centralized management, effectively reducing hardware investment and operational costs. Furthermore, the product is designed for exceptional ease of use. It features built-in Measurement System Analysis (MSA) functionality to avoid misjudgments caused by measurement errors, automatically recommends control chart types based on data characteristics, and dynamically optimizes control limits. This means users don't need deep statistical expertise; process engineers and quality inspectors can quickly get up to speed, significantly lowering the barrier and learning curve for SPC implementation.

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