NCR MBA Program

Faculty Information

 

 

Barbara J. Hoopes  
Title : Associate Professor
Phone : 703-538-8409
Email : bhoopes@vt.edu
Education

Ph.D., Operations Research, University of North Carolina - Chapel Hill  

B.S., Mathematics, Davidson College

Primary Expertise
Operations Research, Operations Management, Quantitative Business Decision Making, Efficiency/Performance Analysis
Courses Taught
Management Science, Production and Operations Management, International Operations and Information Technology, Study Abroad - Products and Processes in Scandinavia, DSS Design and Implementation, Artificial Intelligence Applications in Business, Program Management and Project Leadership.
Publications

Triantis, K., Hoopes, B.J. and Seaver, B., "Efficiency Performance and Dominance in Influential Subsets: An Evaluation using Fuzzy Clustering and Pair-wise Dominance," Journal of Productivity Analysis, Vol. 21, No. 2, March 2004..  

Hoopes B.J. and Triantis, K.P., "Efficiency Performance, Control Charts and Process Improvement: Complementary Measurement and Evaluation," IEEE Transactions on Engineering Management, Vol. 48, No. 2, May 2001.  

Triantis, K., Hoopes, B.J. and Partangel, N., "The Relationship Between Process And Manufacturing Plant Performance: A Goal Programming Approach," International Journal of Operations and Quantitative Management, Vol. 6, No. 4, December 2000.  

Daniels, R.L., Hoopes, B.J., and Mazzola, J.B., "An Analysis of Heuristics for the Parallel-Machine Flexible-Resource Scheduling Problem," Annals of Operations Research (Special Volume on Scheduling: Theory and Applications), 70, 1997.  

Daniels, R.L., Hoopes, B.J., and Mazzola, J.B., "Scheduling Parallel Manufacturing Cells with Resource Flexibility," Management Science, Vol. 42, No.9, September 1996.
Research
My current research focuses primarily on efficiency/performance measurement and evaluation using data envelopment analysis (DEA), a linear-programming based tool. My work extends traditional organizational-level DEA into more micro-level analysis, e.g., production processes. Linkages have also been formed with other fields, such as statistical quality control and fuzzy clustering procedures.
Course Links

BIT 5954 Study Abroad - Products and Processes in Scandinavia