Project Assessing the Resilience and Optimization of the Semiconductor Supply Chain Program Polytechnic Institute Term Academic Year 2024 Status Closed Research Area Global security Description Semiconductors are the heart of modern electronic devices which are widely used in communications, computing, transportation, manufacturing, healthcare, military, among others. However, most of the semiconductor manufacturing foundries are located in Asia, such as Taiwan, South Korea, and China. Therefore, the global semiconductors supply chain would be at high risk and vulnerable to raw material shortages, geopolitical conflicts, and extreme events (e.g., epidemic, earthquake, and flood). As the hub of high technology, manufacturing, research, and development, the demand for semiconductors in the US is high. To reduce reliance on overseas chip supply, the US government has provided financial support to promote semiconductor manufacturing inside the US by passing the CHIPS Act 2022. However, many challenges need to be overcome to manufacture semiconductors in the US that meet its demand. As such, there is a need for research that seeks a better understanding of the global semiconductors industry. To ensure the stability and efficiency of the future semiconductor supply chain, it is important to (1) investigate the risks and vulnerabilities to the semiconductor supply chain and assess their potential impacts on the industry; and (2) develop optimization models and algorithms for improving the performance and efficiency of the semiconductor supply chain. The goals of this project are to review the literature on risk assessments as well as mathematical models and optimization algorithms to address semiconductor demand forecasting, inventory management, production plan, and logistics and distribution. Supervisor Tho Le Mentor Type of work required Conduct a literature review on risk assessments as well as mathematical models and optimization algorithms to address semiconductor demand forecasting, inventory management, production plan, and logistics and distribution. Websites https://thovle.weebly.com/ Qualifications Any student must have a minimum GPA of 3.0. Priority is given to students with knowledge in risk assessment, network resilience/science, optimization, semiconductors, supply chain, logistics/transportation, industrial engineering/technology, electrical and computer engineering/technology, and computer science/information technology. Credit Hours 0 Weekly Hours 10 (estimated)