Multiple supply chain nodes including silicon wafers, solar cells, and modules involve multiple production bases and cross-factory collaboration challenges
Power, panel types, material sources, and other features create complex combinations that are difficult to standardize, leading to frequent production switching
Substitute materials, combined substitute materials, and multi-supplier quota management under industry standards and customer specifications
When production processes iterate or need to be changed, 2-5 months are required for ramp-up
Power output has probabilistic distribution randomness, making it difficult to achieve power supply-demand balance
Cost management across the entire supply chain network, logistics costs from remote supply, line switching time, and cost-benefit analysis at each stage
Extensive experience with leading industry enterprises and expert teams in automotive parts; 50+ software copyrights, 10+ patents, including 30+ software copyrights and invention patents related to intelligent supply chain planning
Self-developed and controllable Deloris algorithm platform with operations research, reinforcement learning, and big data analysis as core driving technologies for intelligent decision-making
End-to-end product system covering supply chain planning from sales and operations planning, master production planning, advanced scheduling, to material requirements planning
Capable of delivering end-to-end solutions for industry customers with a complete service system and role division
By building an intelligent supply chain integrated platform for the enterprise, we improved the information silos, unclear demand, and capacity expansion pressure encountered during battery cell and module production.
Through precise production scheduling and progress visualization, efficient alignment with market demand is achieved, realizing global supply chain optimization and maximum resource utilization.
