Recently, China Haisum officially launched the Haisum Qlion lean quality AI agent at the "Seminar on Carbon Management and Low-Carbon Development in the Paper Industry" hosted by the Green and Low-Carbon Professional Committee of the China Technical Association of Paper Industry.

Tailor-made for AI-native factories in the light industry, Haisum Qlion is a lean quality AI agent that serves as an intelligent decision-making hub for quality management. It connects R&D and process data upstream, links production line control and execution downstream, and horizontally integrates the three key dimensions of R&D, manufacturing processes, and quality management.

Quality: Driven by quality value

Lean: Enabling lean management, lowering costs, and delivering efficiency gains

Intelligent: Powered by AI-driven quality prediction and process parameter analysis and optimization

Orchestration: Connecting the entire R&D-process-quality value chain

Nucleus: Building an intelligent decision-making hub for quality management

Relying on China Haisum's more than 70 years of expertise in the light industry, Haisum Qlion integrates artificial intelligence with business digital twin technologies. Focusing on process manufacturing scenarios such as pulp and paper, food fermentation, and fine chemicals, the solution addresses key industry challenges including lengthy R&D cycles, complex quality control, and delayed anomaly tracing:

[Intelligent R&D, a New Paradigm for Optimization]

By integrating intelligent formulation design with D-optimal experimental design, Haisum Qlion generates experimental plans for R&D tasks involving multiple constraints. It enables R&D processes to shift from experience-based trial and error toward data-driven, scientific optimization.

[End-to-End Collaboration Across R&D, Processes, and Quality]

The solution connects R&D variables, critical process parameters, and quality outcomes, establishing a collaborative optimization mechanism that spans the entire journey from R&D and design to stable mass production.

[Quality Prediction and Multi-Objective Optimization]

Powered by quality prediction models and multi-objective optimization algorithms, Haisum Qlion selects optimal solutions by balancing multiple objectives such as quality, cost, and strength. This enables proactive identification of quality risks and continuous optimization of process strategies.