1. Case Basics 
Case Title: double Ring Drive (Dalian Huanchuang) | Drive System Parts Digitization (MES + WMS + IoT) Landing Case 

Customer Name : dalian Huanchuang Precision Manufacturing Co., Ltd. (a subsidiary of Shuanghuan Group)

Industry : Auto Parts, Transmission System 

Enterprise size : annual output value of about 0.5 billion, first-class supplier of Volkswagen transmission 

Project cycle : phase I MES + WMS + IoT, Phase II Quality Management Module 

2. The customer's original pain points 
Combined with the actual project, the pain points are described as follows:

Quality traceability pain points : it is difficult to quickly locate the root cause after quality problems occur, and the cost of rework and repair is high. The definition of problem batches is vague, which affects customer satisfaction and brand reputation.

Cost/inventory pain point : inventory backlog seriously leads to high capital occupation and high operating cost. Under the traditional management mode, the profit margin continues to be compressed and the supply chain response lags behind.

Management/data pain point : data collection in the production process lags behind and cannot be traced back to the whole process. Manual judgment is prone to errors and lacks real-time warning, resulting in untimely discovery of quality problems.

Equipment/system pain points : equipment data are scattered and lack of unified collection channels; The integration degree between systems is low, the data flow depends on labor, and the management efficiency is low. 

3. Our solution :  with "precision traceability, lean control, and data-driven" as the core, the customized solution is as follows:

Deployment system :MES Manufacturing Execution System + WMS Warehouse Management System + IoT Device IoT Platform + QMS Quality Management Module 

Hardware Configuration :PDA mobile terminal, PC workstation, automatic production line data acquisition terminal, visual kanban 

Implementation content : implemented in two phases, the first phase to build MES + WMS + IoT basic platform, the second phase deepens the quality management module, establishes the "one thing, one code" whole process traceability system, and realizes lean inventory management and equipment networking.

System integration : fully integrate ERP system to open up the full link data from order to delivery; Realize automatic data collection of detection equipment and build a visual management cockpit. 

4. Project implementation effectiveness :  after digital transformation, the core indicators have been significantly improved:

Efficiency class : the production efficiency is transparent, the operation process is standardized, the timely delivery rate is improved, and the production quality reports are presented in real time.

Quality category : product whole process traceability coverage rate is 100, material error prevention management, production process quality early warning, traceability responsibility IT to achieve positive and reverse traceability.

Cost category : reduce inventory capital occupation, reduce logistics costs, improve standard production capacity, realize paperless management, and reduce operating costs.

Management : equipment control data, production management integration, decision accuracy, various real-time analysis report support, condition monitoring and preventive maintenance. 

5. Case Highlights the following are the core values and innovations of this project:

One thing, one code, full closed loop traceability : give each product a unique digital identity, real-time correlation of human, machine, material, method, ring, measurement of the full amount of data, to achieve second-level accurate traceability and positioning of quality problems, greatly enhance customer trust.

Lean inventory and cost reduction and efficiency enhancement : implement WMS lean inventory management, realize first-in, first-out, intelligent warehouse location recommendation and inventory locking, reduce inventory capital occupation, and improve capital turnover rate, directly enhance the core profitability of enterprises.

Data-driven fine control : establish a whole-process quality traceability system to realize automatic data collection and intelligent judgment of testing equipment; Build a visual management cockpit and replace experience management through data-driven, provide scientific decision-making basis for management.