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Unified Data Integrated Information Collaborative Business
Industry pain points
Frequent changes in plans
Demand plans fluctuate often, making it difficult to formulate rolling plans. Production scheduling is disrupted, order progress is opaque, and material flow is hard to control. Procurement cycles are long and forecasts are inaccurate.
Difficulties in tracing quality issues
With numerous product models and diverse quality standards, manual records are cumbersome to analyze. The production process lacks transparency, resulting in low first-pass yield rates. Implementing comprehensive quality management is challenging, and APQP control is difficult to execute.
Errors and omissions in assembly
The fast production pace leads to issues such as mislabeled tags, incorrectly assembled parts, torque non-compliance, cosmetic defects, quantity shortages, and wrong material distribution.
Small Batch, High Variety
Product updates are rapid, customer delivery deadlines are tight, production scheduling is challenging, inserting new orders or changing production runs slowly, and there is a high level of material obsolescence.
Difficulties in Cost Optimization
Optimizing inventory costs is challenging, third-party inventory is hard to clarify, order-level costs are difficult to calculate, quality losses are hard to quantify, and energy consumption is tricky to allocate.
Revolution in the New Energy Industry
Transformation pressure is high as the industry shifts towards electrification, intelligence, lightweighting, high technology, and high quality. Operations management lacks clear metrics, and decision support is not agile.
Application scenarios
Production Planning
Pull-based Task Scheduling Enhances Collaboration Efficiency with Main Manufacturers
Production Execution
Online Control and Early Warning for Manufacturing Processes to Ensure Error-proofing, Foolproofing, and Leak-proofing in Production Operations
Warehouse & Logistics
Global Inventory Visibility and Dynamic Strategy Configuration Improve Logistics Operation Efficiency
Quality Control
Equipment Maintenance
Respond to Equipment Failures and Abnormalities, Analyze and Provide Early Warning, and Conduct Precise OEE Analysis through Equipment Time Slicing
Implementation cases
Sanco Intelligent Connecting Technology Co.,Ltd. (Connectors)
Automotive interior company (Car seats)