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Core business scenario

Core business scenario
Manufacturing Execution Advanced Planning and Scheduling Quality Assurance LEAN Logistics equipment management
Manufacturing Execution

Comprehensively control the personnel, machinery, materials, methods, and environment involved in the production execution process

By implementing dual state management of manufacturing elements (dynamic and static), flexible production scheduling, optimizing business processes, improving operational efficiency, strengthening data analysis, and saving operating costs can be achieved, laying a solid data foundation for enterprises to achieve intelligent production


Learn moreManufacturing ExecutionManufacturing Execution
Manufacturing Execution Manufacturing Execution
Advanced Planning and Scheduling

By using APS as the core to horizontally connect business links and vertically break down information barriers, a dynamic balance system of sales, supply, production, and inventory is constructed, forming a closed-loop collaborative operation mechanism of demand side, production end, and supply chain. A lean driven planning system is established to connect end-to-end value streams and achieve real-time linkage and closed-loop control of the entire value chain

Learn moreAdvanced Planning and SchedulingAdvanced Planning and Scheduling
Advanced Planning and Scheduling Advanced Planning and Scheduling
Quality Assurance

Based on PDCA closed-loop management as the core, a comprehensive quality management system is constructed for quality control, quality analysis, quality improvement, and quality traceability. The closed-loop management approach revolves around goal driven planning, planning guided control, control driven improvement, and goal sublimation, achieving quality control, quality analysis, and quality improvement throughout the entire manufacturing lifecycle, and continuously improving the level of quality management

Learn moreQuality AssuranceQuality Assurance
Quality Assurance Quality Assurance
LEAN Logistics

Algorithm driven and precise construction of warehouse foundation, helping enterprises achieve lean logistics, precise operation management, and efficient supply chain collaboration. Multi terminal application system support, intelligent rule strategy, automatic device docking, and supplier collaboration enable enterprises to achieve intelligent manufacturing and further advance towards Industry 4.0

Learn moreLEAN LogisticsLEAN Logistics
LEAN Logistics LEAN Logistics
equipment management

Build a digital management platform for the entire lifecycle of assets, improve asset utilization and integrity, reduce maintenance costs, minimize inventory backlog and procurement costs of spare parts and materials, extend asset service life, and enhance investment returns

Learn moreequipment managementequipment management
equipment management equipment management
Core business scenario

Comprehensively control the personnel, machinery, materials, methods, and environment involved in the production execution process

By implementing dual state management of manufacturing elements (dynamic and static), flexible production scheduling, optimizing business processes, improving operational efficiency, strengthening data analysis, and saving operating costs can be achieved, laying a solid data foundation for enterprises to achieve intelligent production


Core business scenario
Manufacturing Execution

Comprehensively control the personnel, machinery, materials, methods, and environment involved in the production execution process

By implementing dual state management of manufacturing elements (dynamic and static), flexible production scheduling, optimizing business processes, improving operational efficiency, strengthening data analysis, and saving operating costs can be achieved, laying a solid data foundation for enterprises to achieve intelligent production


Advanced Planning and Scheduling

By using APS as the core to horizontally connect business links and vertically break down information barriers, a dynamic balance system of sales, supply, production, and inventory is constructed, forming a closed-loop collaborative operation mechanism of demand side, production end, and supply chain. A lean driven planning system is established to connect end-to-end value streams and achieve real-time linkage and closed-loop control of the entire value chain

Quality Assurance

Based on PDCA closed-loop management as the core, a comprehensive quality management system is constructed for quality control, quality analysis, quality improvement, and quality traceability. The closed-loop management approach revolves around goal driven planning, planning guided control, control driven improvement, and goal sublimation, achieving quality control, quality analysis, and quality improvement throughout the entire manufacturing lifecycle, and continuously improving the level of quality management

LEAN Logistics

Algorithm driven and precise construction of warehouse foundation, helping enterprises achieve lean logistics, precise operation management, and efficient supply chain collaboration. Multi terminal application system support, intelligent rule strategy, automatic device docking, and supplier collaboration enable enterprises to achieve intelligent manufacturing and further advance towards Industry 4.0

equipment management

Build a digital management platform for the entire lifecycle of assets, improve asset utilization and integrity, reduce maintenance costs, minimize inventory backlog and procurement costs of spare parts and materials, extend asset service life, and enhance investment returns

SIE INTERNATIONAL TECHNOLOGY CO., LIMITED
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Company Name：SIE INTERNATIONAL TECHNOLOGY CO., LIMITED
Global Headquarters：45th Floor, Guangsheng International Building, 17 Zhujiang West Road, Tianhe District, Guangzhou
International Headquarters：Unit 605, Building 12W, Hong Kong Science Park, Shatin, New Territories, Hong Kong
Service Hotline：400 968 5633
Headquarters Front Desk：020-38878880
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