Multiple countries, bases, production lines, and external warehouses make the supply chain nodes numerous and complex to coordinate, making it difficult to build an integrated planning system
Many product models, small batches, fast iteration, and demand fluctuations caused by adjustments in OEM planning bring significant oscillations to downstream demand, making delivery difficult with heavy penalties
Market demand fluctuations, product upgrades, and planning adjustments affect future demand, making it difficult to build forecasting models
Demand planning, production/supply planning formulation, and production-sales coordination make it difficult to build collaborative processes and achieve consistent decisions for global optimization
Workshops need to meet high delivery requirements while reasonably scheduling to improve resource utilization and reduce production costs
Demand fluctuations, delivery pressure, and VMI mode lead to higher inventory to cope, resulting in high inventory and high risk of obsolescence
Increase forecast accuracy; ensure resource allocation through production-sales coordination; respond quickly to demand through rapid master planning
More accurate demand information is rapidly transmitted throughout the chain, eliminating information uncertainty, precisely matching supply and demand, and controlling supply plans at different stages of the product lifecycle to reduce inventory and minimize obsolescence
Consider various constraints and objectives to develop feasible and optimized planning solutions at all levels, improve planning efficiency, enhance planning feasibility, and optimize operational efficiency at all stages
Extensive experience with leading enterprises in the industry and a team of automotive parts industry experts; 50+ software copyrights, 10+ patents, including 30+ software copyrights and invention patents related to intelligent supply chain planning
Proprietary and controllable Deloris algorithm platform, driven by core intelligent decision-making technologies such as operations research, reinforcement learning, and big data analysis
End-to-end product system covering sales-production coordination planning, master production planning, advanced production scheduling, and material requirements planning across the supply chain planning process
Possessing end-to-end solution delivery capabilities for industry customers, with a complete service system and role division
Achieve multi-objective optimization of lean production, lean inventory, lean personnel, and reduced changeover.
Realize rapid optimization and adjustment of production planning, improve planning accuracy and delivery success rate, and shorten overall production cycle.
