Artificial Intelligence in Back-End Semiconductor Manufacturing: A Case Study

The semiconductor manufacturing industry is facing a dynamically growing complexity in the management of production bottlenecks, efficiency of manufacturing equipment and product quality management. In order to maintain the competitiveness in both productivity and sustainable growth, manufacturing organizations are seeing huge opportunities in the application of Artificial Intelligence (AI) as a competitive advantage. To address this approach in a case study, this paper reviews the literature on the application of AI in the manufacturing industry and proposes several AI-based solutions in the subfields of machine learning and computer vision that can be applied to address the challenges faced by a back-end semiconductor manufacturing organization (Company-A). The primary KPI or Key Performance Indicator of this organization is the on-time delivery of manufactured Integrated Circuit (IC) products with high quality at minimized cost. The ideas presented show how Artificial Intelligence can be potentially used to solve problems in the semiconductor manufacturing operations.