Responsible for 12-inch wafer manufacturing production logistics management, fully automated factory production logistics handling system (AMHS-auto material handle system) construction, operation and optimization.2016-2017, Taiwan training stage.1.12-inch wafer generation manufacturing and logistics automation system application and management training.2. Fully automated plant operation and management training.2017-2018, Nanjing factory installed machine to mass production stage.Responsible for completing the TSMC Nanjing plant production logistics automation equipment installed project, successfully guarantee the company's mass production.1.AMHS (Auto Material Handle System) installed project.2.ASRS (Automatic Storage and Retrieval System) installed project.3.Sorter & Merger, N2 charger, UPK and other semiconductor machine installed projects.2018-2019, the most advanced semiconductor manufacturing process in the mainland mass production stage, as a manager backup.1. Automated equipment management to improve equipment reliability by 70%,quaility by 26%. Statistical analysis reduces equipment alarm, develops equipment maintenance mechanism, and statistical method (6sigma&SPC&FDC) manages equipment production quality.2. Indicator management, cross-departmental cooperation to improve production-related KPIs (CT, output...), and improve the efficiency of factory production operations,WIP transfer time reduce16%.3. Personnel management, improve personnel performance and reduce turnover rate.4. Budget plan, cost management.5. ESH management, 5s audit, etc.2019-2020, the second phase of production expansion plan.

Responsible for 8-inch wafer manufacturing production logistics management, lean production promotion, manual production logistics handling system (MMHS-manual material handle system) design, management, optimization.2011-2013, design and implement the production logistics management information system.1. Hardware system (infrastructure), based on RFID technology to build a system architecture to achieve data collection.2. Software system (service and management mode), emulate the urban public transport system to realize system functions, access MES, establish dispatching, real-time guidance ,and important indicator management system subsystem.2013-2016, responsible for optimizing production logistics efficiency.1. Establish important management indicators - 40% reduction in work-in-process（WIP） delivery time between processes and a 28.9% increase in delivery accuracy.2. Introduce the concept of distribution center, establish a central transfer station in the workshop.3. Combine the principle of Trade off Theory and the urban public transport model to design the transmission mode between WIP processes.4. Use on-site management and visual management techniques to develop real-time dynamic guidance and monitoring systems to assist with operational execution and management.2013-2016, responsible for reducing production logistics costs.1. Innovation models and tools, production volume (move) increased by 40.3%, production and handling manpower increased by only 5.4%.2. Create a standard transfer volume model and confirm the work-management manpower requirements between the minimum processes through the static model.3. development and coding of FlexSim simulation software, through the dynamic model to study the degree of variation of various indicators of logistics management.4. Establish important management indicators - Inefficient handling of in-process products, reducing by 10%, saving 8 people in daily loading and unloading of products.