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Zhejiang Ruihui Intelligent Technology Co., Ltd. is committed to becoming a trusted
partner in the digital and intelligent transformation of China's manufacturing industry.

500+

Successfully Implemented Projects

5

Covering Core Industries

98%

Customer Satisfaction

3 Months

Average Go-Live Cycle

Magna: Global Auto Parts Leader

Industry: Automotive Components

Hongli Zhixin Magna Car Seat (Chongqing) Co., Ltd. | Digitization of General assembly workshop and sewing workshop

MOM Platform + Full-Process Quality Traceability

The customer is faced with problems such as slow response to plan implementation, time-consuming dependence on manual material finding for material storage, lack of effective quality card control methods for key processes, and poor data access to the original system, resulting in difficult process coordination and low assembly efficiency, inability to effectively monitor material loss, inability to trace the source of product quality problems, and inability to monitor production status in real time.

Electronization to Replace Manual Process Cards

Precise Material Allocation and Progress Tracking

Real-Time Quality Monitoring to Reduce Defect Rate

Biyi: Smart Small Kitchen Appliance Manufacturing

Industry: Small Kitchen Appliance Manufacturing

Biyi Electric Appliance | MES IOT Digital Factory Landing Case in Injection Molding Workshop

Integration of MES, APS, IoT, and MOM Systems

The customer faces core pain points such as irregular prenatal preparation, large production randomness, opaque material information, frequent waiting for shortage of materials, difficult quality traceability, and isolated island of system data. The specific manifestations are: the disconnection between planning and execution, the dependence on labor for material transfer, the inability to quickly trace the root cause of quality anomalies, the inability to count key indicators such as equipment movement rate in real time, resulting in a lack of data support for management decisions and low operational efficiency.

Real-time Management with Four Key Closed Loops

IoT Networking for All Workshop Equipment

Overproduction Warning and Device Reverse Control

Sanhe: Manufacturing Mid-to-High-End Kitchenware

Industry: Metal Cookware Manufacturing

Zhejiang Sanhe Kitchenware Co., Ltd. | MES WMS Internet of Things Digital Factory Landing Case

MOM Manufacturing Operations Management Platform

The customer faces four core pain points of production, logistics, quality and management. In production, planning and execution are out of touch, line change loss is high, and batch plan achievement rate is less than 40%. In logistics, material flow is opaque, inventory data is inaccurate, and inventory turnover days are as long as 65 days. In terms of quality, it relies on manual records, and it is difficult to trace defective products. BOM quality loss rate is as high as 3%. In management, data islands are serious, equipment utilization rate is low, empirical extensive management is relied on, and data support is lack.

Comprehensive coverage with an all-module MOM platform

Phased, non-disruptive iteration

"Issue-to-Person" proactive management

Lean inventory control for purchased components

Zhongjun: Automotive Interior and Exterior Trim Parts Manufacturing

Industry: Automotive Parts

Zhongjun Senchi Future Factory Project

MOM Platform + Full-Process Quality Traceability

The customer faces core pain points such as frequent production plan adjustments, cross-departmental collaboration faults, high inventory, insufficient equipment efficiency, high quality risk, extensive management, fragmented systems, and data islands. These problems result in poor plan enforceability, high operating costs, difficult quality traceability, and management's inability to obtain real-time, accurate data to support scientific decision-making.

Transparent Production and Efficient Collaboration

Lean Cost and Equipment Management

Full-Process Quality Traceability and Closed-Loop Control

System Integration and Data-Driv

Zhongjun: Auto Interior & Exterior Parts Manufacturing

Industry: Automotive Parts (Interior & Exterior Trim, Injection Molding / Painting / Assembly)

Ningbo Zhongjun Senchi | Landing Case of Digital Workshop for Injection Molding Coating of Automotive Interior and Exterior Trim Parts (MES WMS IOT Lamp)

MES + WMS + IoT Equipment Data Collection + Andon System + Supplier Portal + BI Data Analytics Platform

The customer is faced with problems such as opaque production schedule, inconsistent material accounts and time-consuming material finding, high inspection miss rate and no batch traceability of the whole process, isolated data island caused by equipment not connected to the Internet, and irregular mold management, resulting in insufficient delivery guarantee capability, confusion of line and side warehouses and high material loss, high quality risk and inability to quickly locate the source, inability of management to make real-time decisions and difficulty in quantifying equipment operation rate.

Integrated Digital Management for the Entire Workshop

Industry-Level Error Prevention and End-to-End Traceability

Equipment Networking and Data-Driven Decision Making

Tian'an: Automotive Parts Manufacturing

Industry: Injection Molding

Tian 'an Jinghua Auto Parts Co., Ltd. | Injection Molding Workshop Digital Library AGV ERP

MOM Platform + ERP + AGV + Automated Warehouse

The customer is faced with problems such as difficulties in tracking production progress, discrepancies in material storage accounts, time-consuming and inaccurate quality traceability, and obvious isolated islands of system information, resulting in low production management efficiency, time-consuming and laborious material distribution, high quality control risks, and difficulties in overall operation coordination.

Integrated Operation of Multiple Systems

Full-Coverage Automated Distribution

Phased Implementation Without Production Downtime

Huada: Auto Parts Manufacturing

Industry: Automotive Components

Huada Technology MES Digital Project

MES Platform + WMS Warehouse & Logistics Management + QMS Full-Process Quality Traceability

The customer is faced with problems such as difficulties in the management of work-in-process, dependence on paper for transmission of operation information, no foolproof control for quality inspection, incomplete quality traceability data and inability of the original system to finely manage the workshop progress, resulting in low transparency of the production process, high risks of quality hazards and missed inspections, inability of management to find problems in time, and lack of decision-making basis for production planning and scheduling.

Real-time Production Progress Monitoring

Forward and Reverse Quality Traceability

Workshop Performance Transparency

Shuanghuan: Precision Transmission Components

Industry: Automotive Parts

Dalian Huanchuang | Intelligent Benchmarking Factory

MES + WMS + IoT System

The customer faces core pain points such as quality traceability difficulties, cost and profit pressures, and extensive quality management. The specific manifestations are: it is difficult to quickly locate the root cause after the quality problem occurs, resulting in high rework and repair costs; serious inventory backlog, high capital occupation, supply chain response lag; delayed data collection in the production process, lack of real-time early warning, resulting in quality problems not found in a timely manner, management depends on experience rather than data.

Item-Level Traceability for Full Process Precision

Lean Inventory Management for Cost Reduction and Efficiency

Data-Driven Refined Quality Control

Aiken: Kitchen Small Appliance Manufacturing

Industry: Consumer Electronics / Home Appliances

Ningbo Aiken Intelligent Technology Co., Ltd. | Digital of bakelite and assembly workshop

MOM Platform + Full-Process Quality Traceability

The customer faces problems such as difficult coordination of production planning, inaccurate material control, imperfect quality traceability, and serious system data silos, resulting in unstable delivery, high inventory waste, high quality risk, and low production management efficiency.

Capacity Optimization and Efficiency Improvement

Intelligent Cost Reduction and Quality Enhancement

Full-Process Monitoring and Early Warning

Baima: Intelligent Garden Equipment Manufacturing

Industry: Garden Machinery / Outdoor Power Equipment

Zhejiang Baima Technology Vietnam Factory Digital Project

MOM Platform + APS Scheduling + QMS Full-Process Quality Traceability

The customer faced problems such as irregular production operations, difficult process traceability, cumbersome processing of defective products, cross-border language communication barriers and serious system data silos, resulting in low production efficiency, difficult quality risk control, difficult cross-border management coordination, and poor customer inspection experience.

Optimized Staffing for Enhanced Efficiency

Trilingual Digital Twin

Agile Implementation

Wanjia: Automotive Parts and Home Appliance Components Manufacturing

Industry: Automotive Parts

Ningbo Wanjia Electric Appliance Co., Ltd. | Stamping Workshop Digitalization

MOM Platform + Full-Process Quality Traceability

The customer is faced with problems such as multiple varieties and small batches of orders, frequent mold changes, lack of real-time data support in the workshop for production plans, dependence on manual material finding for material storage, failure of workshop material loss to be associated with work orders, lack of product traceability data collection methods and low accuracy and timeliness, and failure of the original system to connect data, resulting in poor plan enforceability, high material loss rate, poor traceability data quality, and inability of management to monitor production status in real-time.

Capacity Monitoring for Optimized Production Coordination

Precise Material Consumption Accounting

Early Warning Mechanisms and Data-Driven Modeling

Langwei: Cabinet & Cabling Equipment

Industry: Electronic Specialized Equipment Manufacturing

Ningbo Longwei | WMS Project Landing Case

WMS System Platform + Automated Stereoscopic Warehouse Storage Algorithm

The customer is faced with problems such as low utilization rate of traditional warehouse space, high bottleneck and error rate of human searching efficiency, "blind warehouse" in warehouse, inability of original WMS system to connect with automatic warehouse, serious information isolated island, etc., resulting in high labor cost and management difficulties, lack of effective connection of various links, inability to realize data connection and real-time optimization of the whole process, and low coordination efficiency of the overall supply chain.

Automated High-Bay Warehouse Strategy Storage

Inter-Organizational Material Information Sharing

Inter-Organizational Material Ownership Transfer

Jinhui: Auto Precision Optics

Industry: Automotive Parts

Jinhui Optical Digital Project

Integrated MOM Digital Factory Platform

The customer is faced with pain points such as opaque progress due to delayed production reporting, chaotic and error-prone management of paper documents in the whole process, inefficient circulation due to multi-system data islands, inability to count the operation status of equipment in a "black box", discrepancy between accounts due to manual management in storage, and difficulty in locating quality problems due to lack of effective traceability system, which seriously affect production efficiency, data accuracy and quality control capability.

Real-time Production Reporting for Instant Progress Visibility

Full Process Paperless Operation with Minute-Level Quality Traceability

100% Equipment Networking to Break Down Operatio

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