The industry project between Kulicke & Soffa (K&S) and Institute of Operations Research and Analytics (IORA) at National University of Singapore (NUS), seeks to leverage on data collected by sensors to better guide K&S’ decision making processes. It also looks at integrating human resource data with the production and sensor data to help K&S optimize their manpower allocation, improve product quality and increase production throughput. Adopting the industry standard CRISP-DM (cross industry standard process for data mining) methodology, K&S and IORA, NUS will jointly develop predictive and optimization algorithms to achieve K&S’ business goals.
Project Title: Application of Machine Learning For Smart Manufacturing – Industry 4.0
Done By: Kulicke & Soffa (K&S), Institute of Operations Research and Analytics (IORA), National University of Singapore (NUS) and Singapore Data Science Consortium (SDSC)
Contact Person: Prof. Jussi Keppo, Associate Professor, Dean’s Chair, NUS Business School and Co-Director, NUS Business Analytics Center
This research is supported by the National Research Foundation, Prime Minister’s Office, Singapore under its Industry Alignment Fund (Pre-positioning) Funding Initiative.