Research Staff

CV/Biosketch

Michael HilliardMichael Hilliard
Ph.D. Operations Research and Industrial Engineering
(T) 865.576.5337
(M) 865.898.4533
hilliardmr@ornl.gov

Specialty Research Areas:

  • Defense Transportation
  • Logistics and Supply Chain Management
  • Modeling and Simulation
  • Planning and Systems Analysis

Current or Recent Work:

  • Ohio River Navigation Investment Model (ORNIM)
    Goal: Design and develop a system to model the transportation flows on the Ohio River System to support the Army Corps of Engineers analysis of alternative investment plans for the improvement of a system of 19 locks. This Java/web-based system will include an economic equilibrium model of the waterway system linked to an algorithm to optimally allocate the maintenance and construction budget to projects over a 50-year time horizon.
  • AMC Deployment Analysis System (ADANS)
    Goal: Design and develop an integrated system for planning and scheduling USAF Air Mobility Command peacetime and wartime operations using state-of-the-art technologies from operations research, data base management, and systems engineering. Initial components of the system were deployed just prior to and during OPERATION DESERT SHIELD/STORM, and the system has been in continuous operation since that time. Through the use of an evolutionary prototyping methodology, the system has grown to support peacetime and wartime planning and scheduling tasks for the command.
  • Machine Learning
    Goal: Investigate the capabilities of machine learning techniques and the application of these techniques to the development of heuristics for scheduling problems, solution of multi-objective optimization problems, and discovery of relationships in data sets. This internally funded research effort provided fundamental research into the applications of genetic algorithms.
  • Detailer's Assistant
    Goal: Design and develop an expert system to assist the Navy enlisted detailer in assigning personnel to jobs. A demonstration of an application of expert system technology on a early personal computer demonstrated to the Navy some of the capabilities of the technology.
  • AFWIS-AI Investigation
    Goal: Investigate the state of the art in applications of AI to Command and Control and recommend development efforts for the Air Force. Through a series of briefings and a national conference, we provided the Air Force with an overview of the emerging technology of artificial intelligence and indications of possible future trends.
  • Scheduling Algorithm to Improve Lift (SAIL)
    Goal: Develop and implement an algorithm to schedule the deployment of Military Sealift Command vessels in crisis situations. The algorithms developed in this effort were later merged into the JFAST system now used by USTRANSCOM and other deployment analysts.

Significant Publications:

Dashora, Yogesh, John W. Barnes, Rekha S. Pillai, Todd E. Combs, Michael Hilliard, and Madhu Chinthavali,  “The PHEV Charging Infrastructure Planning (PCIP) Problem,” International Journal of Emerging Electric Power Systems, Vol 11(2), 2010.

Yangrong Ling; Mingzhou Jin; Hilliard, M.R.; Usher, J.M.; , "A study of real-time identification and monitoring of barge-carried hazardous commodities," Geoinformatics, 2009 17th International Conference on , vol., no., pp.1-4, 12-14 Aug. 2009. doi: 10.1109/GEOINFORMATICS.2009.5293426 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5293426&isnumber=5292806

Committee on Naval Expeditionary Logistics, Naval Studies Board. Naval Expeditionary Logistics: Enabling Operational Maneuver From the Sea. National Academy Press.(1999), 1999

"The Computer as Partner in Algorithmic Design: Automated Discovery of Parameters for a Multi-Objective Scheduling Heuristic," Impacts of Recent Advances in Operations Research, editors R. Sharda, B.L. Golden, E.Wasil, O.Balei, and W.Stewart, North Holland, new York, 1989, with G.E.Liepins, M. Palmer, G. Rangarajan.

"Scheduling the Operation Desert Storm Airlift: An Advanced Automated Scheduling Support System", Interfaces 22:1, (January -February, 1992). pp. 131-146.

"Genetic Algorithms: Foundations and Applications," in Annals of Operations Research, 21 (1989) 31-58.

"Alternatives for Classifier System Credit Assignment," Proceedings of the 11th International Conference on Artificial Intelligence, (Morgan Kaufmann Publishers, Inc., 1989) 756-761. (Refereed Proceedings)

"Mission (Not) Impossible: New Scheduling tool plays a pivotal role in the largest airlift in history," OR/MS Today, April 1991, with Ronald D. Kraemer.

"Weighted Voting: Theory and Applications," Technical Report Number 609, School of O.R. and I.E., Cornell University, August 1983. (also available from University Microfilms)

Highlights

Edition 33 of the Transportation Energy Data Book Released
The Transportation Energy Data Book (TEDB) is a compendium of data on transportation with an emphasis on energy. Designed for use as a desktop reference, the TEDB was first published in 1976 and has continued to Edition 33. The TEDB is produced by Oak Ridge National Laboratory for the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy.

2013 Vehicle Technologies Market Report
The 2013 Vehicle Technologies Market Report was released March 31, 2014 via the web. The report details the major trends in U.S. light-duty vehicle and medium/heavy truck markets. This report is produced by Oak Ridge National Laboratory for the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy.

Numerous CTA Staff gave presentations at the DOE Annual Merit Review Meeting, June 8-12, 2014.
The U.S. Department of Energy's (DOE's) 2013 Annual Merit Review and Peer Evaluation Meetings for the Hydrogen and Fuel Cells Program and the Vehicle Technologies Program held June 8-12, 2014. The staff members attending were Keith Kahl, David Smith, P.T. Jones, Andreas Malikopoulos, Zhenhong Lin, Changzheng Liu and Stacy Davis.