Professor Sheng-I Chen, co-principal investigator of the project, stated that the semiconductor industry involves a variety of products with small quantities and complex, time-consuming manufacturing processes. Cross-factory capacity planning requires consideration of multiple data dimensions, making it challenging to efficiently solve and identify the optimal capacity planning under various constraints.
UMC's Vice President of Corporate Operations Planning, Shu-Fen Hsu, expressed that UMC must continuously enhance operational efficiency through digitization and intelligence in the highly competitive global semiconductor environment. She looks forward to jointly developing an optimized capacity planning system with the Department of Industrial Engineering and Management at NYCU. Besides bringing tangible application benefits to UMC, such a system can also nurture talents in the industrial engineering field for the industry.
Overall, this industry-academia collaboration project will advance technological and managerial innovation in the semiconductor industry. It will provide substantial opportunities for collaboration between academia and industry, fostering talent in the semiconductor industry and promoting sustained development and innovation within the sector.