Multi-Stage Formulation of a Multi-Depot Consultant Assignment and Routing Problem with Skill and Priority Matching
2017-12-12 13:00 4#2004
Andrew J. Yu
The University of Tennessee
Abstract
The research problem to be presented is a consultant assignment and routing problem from a national consulting firm. Consultants are homed geographically in different locations. Each consultant has a developed skill set and assigned service priority preference. Each consultant visit to client requires a specific skill from the consultant and each client has an assigned priority. The consultant assignment needs to match the consultant skill with the visit requirement and client priority with consultant preference. The assignment solution is clustered based to reduce the computation complexity. The routing solution consists of two parts: the flight routing among the clusters and the driving routing among the clients within each cluster. The model solution not only replaces the tedious manual process of scheduling, but also tremendously reduces the consultant travel cost.
Dr. Andrew J. Yu
Associate Professor of Industrial and Systems Engineering
The University of Tennessee, Knoxville
Dr. Andrew Junfang Yu received his B.S. in Electrical Engineering and M.S. in Management Science from Shanghai Jiao Tong University, and earned his M.S. in Systems Science and Ph.D. inIndustrial Engineering from Louisiana State University. He had
worked as a Supply Chain and Logistics solution architect at i2 Technologies (JDA) for six years and as an Assistant Professor at Louisiana State University for one year before he joined Southern Methodist University as a Systems Engineering and Operations Research faculty in 2007. He had also worked as a faculty at Shanghai Jiao Tong University. Dr. Yu moved to the University of Tennessee in 2013. Dr. Yu’s main research interests are in the areas of Supply Chain and Logistics Management, Maintenance Planning and Scheduling, Workforce Assignment and Scheduling, Operations Research, and Systems Engineering. At i2 Technologies (JDA), he had provided educational and implementation consultation to many companies such as IBM, Northrop Grumman, Honeywell, Cardinal Health, Airbus, etc. for their supply chain solutions. Dr. Yu has many publications in referred journals and conference proceedings, and appeared in numerous conference presentations. He has publications in journals such as Interfaces, EJOR, JORS, IJPR, COR, CIE, SE, IJPE, etc. He has rich teaching experience not only in academia but also in professional training in industry. Because of his
academic and industrial experience, Dr. Yu has been awarded many research grants through sponsored projects from industry.