This project iscusses the challenges related to traditional demand management techniques, motivates the relevance of the data-driven approach to address these issues, and provides a high-level description of the solution tools implemented in this project.
The main goal of this research project is to investigate and develop methods that allow target service levels (e.g. fill rate, ready rate) to be met for planned inventory policies and lot-sizing rules using retrospective or bootstrapping based simulation procedures.
Sponsor: National Science Foundation Research Team: Sarah Root Universities Involved: University of Arkansas Start Date: 08/01/09 End Date: 12/31/10 Summary: According to a report by the National Coalition on Health Care (www.nchc.org/facts/cost.shtml) healthcare spending in the United States was $2.4 trillion in 2007. This equates to $7,900 per person and […]