Our Focuses|Green Product|Digital Transformation

Green Product

Winbond has integrated our core innovative technology competencies with sustainable energy conservation and carbon reduction goals. Through green product design, digitalizing information systems, and improving production efficiency, Winbond can develop and optimize our products in various different areas, strictly controlling each step of our product process. Winbond promises to deliver the highest quality products to customers, minimizing the carbon emissions required to deliver our products into the hands of customers and consumers. While benefiting from the convenience brought about by technology, Winbond is lowing the impact to environment and helping the overall value chain effectively reducing carbon emissions.

SDGs 9 Industry, Innovation and Infrastructure
SDGs 7 Affordable and Clean Energy

2nd-Gen 1.2V NOR Flash further improving energy efficiency beyond the 50% power savings achieved over 1.8V products

40

%

Enhanced the energy efficiency of CUBE memory solutions

1

pJ/bit

Shipments of Renewable Energy parts

9

%

Digital Transformation

Digital Transformation

 

Since 2020, Winbond advanced enterprise-wide digital transformation through the Digital Transformation Committee for Business (DTCB) and Digital Transformation Committee for Manufacturing (DTCM). The President convened regular meetings to review performance. Senior executives shared digital transformation articles weekly. Human Resources invited external instructors to provide training. Internal collaboration platforms and digital technologies became core systems enabling intelligent business operations.

Wafer Fab Intelligence - Digital Transformation

 

Through the transformation enabled by data science methods, we aim to become an intelligent factory with highly efficient production and quality control.

 

Utilizing Industrial AI (Artificial Intelligence) Technology to Promote Smart Manufacturing Application

Four Major Digital Transformation Systems

Explanation of System Usage

Achievements

Flaws and Yield Analysis SystemConsolidates measurement data from various module machines online, helping the research and development department analyze and make connections between data on development operations, analyzing and consolidating data with high efficiency.
  • Greatly reduces data analysis times.
  • Increase engineer productivity.
  • Improved analysis system helps engineers increase data analysis efficiency by 50%.
Automated Engineering Reports SystemRapidly and automatically looks up and consolidates measurement data online.
  • Effectively supports information processing operations.
  • Helps the research and development team analyze and weigh experiment conditions, continuously optimizing the process.
  • Automated system helps engineers more efficiently create engineering reports, increasing productiv- ity by 80%.
Digitalize and Standardize Online Measurement and Electrical DataAssists Winbond employees in adjusting process module conditions in a timely manner based on the data to meet requirements.
  • Greatly improves the prediction and analysis of the key electrical properties of memory elements.
  • Allows for good predictions to be made for key parameters.
Memory Element Reliability Analysis SystemEffectively consolidates and organizes massive amounts of meas- urement data, discovering the optimal operating parameters for use in product CP/FT testing.
  • Significantly increases the data analysis speeds of our engineers.

Green energy management and certificate application mechanism

 

To advance the net zero pathway and respond to urgent global supply chain demand for green energy, Winbond established a Renewable Energy Certificate (T-REC) life cycle management mechanism. Through digital system integration and cross-functional collaboration, each certificate’s acquisition, transfer, allocation, and retirement was traceable and unique, preventing double counting and supporting energy transition through concrete actions. Renewable energy management from procurement to retirement was automated through RPA and SAP data integration to ensure data accuracy and transparency. Each month, RPA collected certificates issued by the certificate center, while suppliers uploaded their own certificates via the Supplier ESG Interaction Network. The system automatically transferred data into SAP. At shipment, certificates were deducted to support customer Scope 3 decarbonization objectives.

 

 

Deepening climate action: expanding the value chain (Scope 3) inventory boundary

 

To comprehensively assess the true climate impacts of operating activities and respond to stakeholder expectations for carbon transparency, the Scope 3 inventory boundary was expanded this year. In accordance with the GHG Protocol framework, key emission categories associated with upstream capital expenditure and downstream product life cycle were incorporated on top of the existing inventory foundation. This approach aimed to precisely identify decarbonization hotspots across the value chain and to establish a robust data foundation for setting Science Based Targets initiative (SBTi) objectives, demonstrating commitment to advancing low-carbon transition together with the supply chain.

 

Four newly included categories covered a full product life cycle from asset acquisition to end-of-life treatment:

(1) Upstream value chain: tracking embodied emissions

 

(2) Downstream value chain: a full product life cycle perspective

Beyond manufacturing, responsibility was taken for impacts after products were sold, and the following three categories were added:

 

The expanded boundary improved visibility of climate profiles across the full product life cycle. Data collection mechanisms would continue to be optimized, and engagement with partners would continue based on inventory results to explore deeper decarbonization opportunities across the value chain.