Merck is a globally leading technology company specializing in the fields of health, life science，and high-performance materials. Merck's Taoyuan factory serves as a significant production base within Merck's Advanced Materials division, focusing on the research, development, and production of high-quality liquid crystal raw materials for the display industry. These raw materials are widely used in OLED, LED, and flexible displays. As the pilot site for the implementation of Wellthinic Technology's MES project, the factory aims to comprehensively optimize and integrate its existing systems based on Industry 4.0 principles. This includes achieving comprehensive optimization from data collection, processing, utilization, to management. By utilizing data-driven production decisions, the factory aims to enhance operational efficiency and quality levels.

Customer Pain Points

• We need to standardize production processes, reduce waste and costs, in order to improve production efficiency and profitability.

• We hope to achieve paperless and transparent management in the workshop.

• We need to implement data collection, processing, storage, utilization, and management at every stage of the process.

Our Solutions

• Provided a flexible system architecture and modular design.

• The system covers the entire process range from raw material receiving in the workshop to finished product packaging and warehousing, achieving full-process management and control.

• The MES successfully integrated the ERP system, packaging line automation system, QCIMS system, homogenization/purification automation system, MPS system, and truck scale system, enabling data exchange and sharing among all system

Implementation Effect

• The production process has achieved 100% paperless operation, improving work efficiency and accuracy.

• By optimizing production processes and reducing waste, Merck has successfully increased production efficiency by 20% while lowering costs.

• Due to the automation of data collection and processing, the human error rate has been reduced by 95%, improving production quality and stability.