Russell King

Foscue Distinguished Professor

University Alumni Distinguished Graduate Professor
University Alumni Distinguished Undergraduate Professor
Co-Director, Center for Additive Manufacturing and Logistics

Russell King joined the faculty in 1985. He is an associate faculty member of the Integrated Manufacturing Systems Engineering Institute, the Operations Research Program, and the Textiles and Apparel, Technology and Management Department. He has industrial experience with Dynamac Corporation, the Jacksonville Naval Aviation Depot (US Navy), and Computer Science Corporation. He has been awarded the C. A. Anderson Outstanding Faculty Award (on 4 occasions), the NCSU Alcoa Foundation Engineering Achievement Award, the Institute of Industrial Engineers Technical Innovation Award, the Institute of Industrial Engineers Albert G. Holzman Distinguished Educator Award, the NCSU George H. Blessis Outstanding Undergraduate Advisor Award, and was named an NCSU Alumni Association Distinguished Graduate Professor (2008) and an Alumni Association Distinguished Undergraduate Professor (2011). Dr. King served as the Edward P. Fitts Distinguished Professor from 2012-2017 and was named the Henry Armfield Foscue Distinguished Professor in 2017.

Dr. King is the ISE Undergraduate Scholarship Coordinator and is a Fellow of IIE. He is a member of INFORMS, Tau Beta Pi, and Alpha Pi Mu. He and one his daughters are Masters (4th-degree black belt) of TaeKwonDo under Grand Master K.S. Lee of Cary, NC.

Education

Ph.D. 1986

Doctor of Philosophy in Industrial Engineering

University of Florida

ME 1982

Master of Industrial Engineering

University of Florida

BSSE 1980

Bachelor of Science in Systems Engineering

University of Florida

Research Description

Logistics engineering, production scheduling and inventory control for manufacturing/remanufacturing systems under risk, design and control of manufacturing systems, and modeling and evaluation of quick response sourcing, manufacturing and retail systems.

Honors and Awards

  • C. A. Anderson Outstanding Faculty Award, ISE Department at NC State University, 1986
  • C. A. Anderson Outstanding Faculty Award, ISE Department at NC State University, 1996
  • C. A. Anderson Outstanding Faculty Award, ISE Department at NC State University, 2002
  • C. A. Anderson Outstanding Faculty Award, ISE Department at NC State University, 2008
  • C. A. Anderson Outstanding Faculty Award, ISE Department at NC State University, 2014
  • NCSU Alcoa Foundation Engineering Achievement Award, 1995
  • Technical Innovation in Industrial Engineering, Institute of Industrial Engineers, 2003
  • Fellow, Institute of Industrial Engineers, 2006
  • Albert G. Holzman Distinguished Educator Award, Institute of Industrial Engineers, 2010
  • NCSU George H. Blessis Outstanding Undergraduate Advisor Award, 2010
  • Edward P. Fitts Distinguished Professor, 2012
  • Henry Armfield Foscue Distinguished Professor, 2017

Publications

Allocation heuristics for high-altitude long- endurance UAV image intelligence platforms
Kim, G., Hodgson, T. J., King, R. E., Liu, Y. N., & Kay, M. G. (2017), Military Operations Research, 22(3), 5–19.
Heuristic inventory policies for a hybrid manufacturing/remanufacturing system with product substitution
Ahiska, S. S., Gocer, F., & King, R. E. (2017), Computers & Industrial Engineering, 114, 206–222.
Supply chain operations reference model for us based powder bed metal additive manufacturing processes
Shouche, S., Wysk, R. A., King, R. E., & Harrysson, O. L. A. (2016), In 2016 winter simulation conference (wsc) (pp. 1158–1169).
Analysis of a downward substitution strategy in a manufacturing/remanufacturing system
Gocer, F., Ahiska, S. S., & King, R. E. (2015), In Operations research and enterprise systems, icores 2014 (Vol. 509, pp. 186–198).
Inventory policy characterisation methodologies for a single-product recoverable manufacturing system
Ahiska, S. S., & King, R. E. (2015), European Journal of Industrial Engineering, 9(2), 222–243.
On the economic lot scheduling problem: Stock-out prevention and system feasibility
Hanson, B. B., Hodgson, T. J., Kay, M. G., King, R. E., & Thoney-Barletta, K. A. (2015), International Journal of Production Research, 53(16), 4903–4916. https://doi.org/10.1080/00207543.2015.1005246
Combined DES/SD model of breast cancer screening for older women, II: screening-and-treatment simulation
Tejada, J. J., Ivy, J. S., King, R. E., Wilson, J. R., Ballan, M. J., Kay, M. G., … Yankaskas, B. C. (2014), IIE Transactions, 46(7), 707–727.
A Markov decision process-based policy characterization approach for a stochastic inventory control problem with unreliable sourcing
Ahiska, S. S., Appaji, S. R., King, R. E., & Warsing, D. P. (2013), International Journal of Production Economics, 144(2), 485–496.
An effective lower bound on L-max in a worker-constrained job shop
Lobo, B. J., Hodgson, T. J., King, R. E., Thoney, K. A., & Wilson, J. R. (2013), Computers & Operations Research, 40(1), 328–343.
Information sharing in capacity constrained supply chains under lost sales
Davis, L. B., King, R. E., Hodgson, T. J., & Wei, W. B. (2011), International Journal of Production Research, 49(24), 7469–7491.
Inventory optimization in a one product recoverable manufacturing system
Ahiska, S. S., & King, R. E. (2010), International Journal of Production Economics, 124(1), 11–19.
Life cycle inventory policy characterizations for a single-product recoverable system
Ahiska, S. S., & King, R. E. (2010), International Journal of Production Economics, 124(1), 51–61.
Technical note: A computationally efficient algorithm for undiscounted Markov decision processes with restricted observations
Davis, L. B., Hodgson, T. J., King, R. E., & Wei, W. B. (2009), Naval Research Logistics, 56(1), 86–92. https://doi.org/10.1002/nav.20329
Heuristics for balancing operating room and post-anesthesia resources under uncertainty
Iser, J. H., Denton, B. T., & King, R. E. (2008), (pp. 1601–1608).
A simulation-based approach for inventory modeling of perishable pharmaceuticals
Vila-Parrish, A. R., Ivy, J. S., & King, R. E. (2008), (pp. 1532–1538).
Satisfying due-dates in the presence of sequence dependent family setups with a special comedown structure
Taner, M. R., Hodgson, T. J., King, R. E., & Schultz, S. R. (2007), Computers & Industrial Engineering, 52(1), 57–70. https://doi.org/10.1016/j.cie.2006.10.008
Determining sequence and ready times in a remanufacturing system
Stanfield, P. M., King, R. E., & Hodgson, T. J. (2006), IIE Transactions, 38(7), 597–607. https://doi.org/10.1080/07408170500371830
Case study on statistically estimating minimum makespan for flow line scheduling problems
Wilson, A. D., King, R. E., & Wilson, J. R. (2004), European Journal of Operational Research, 155(2), 439–454. https://doi.org/10.1016/S0377-2217(02)00910-4
Minimizing L-max for the single machine scheduling problem with family set-ups
Schultz, S. R., Hodgson, T. J., King, R. E., & Taner, M. R. (2004), International Journal of Production Research, 42(20), 4315–4330. https://doi.org/10.1080/00207540410001716561
On minimizing Lmax for the job shop scheduling problem
Schultz, S. R., Hodgson, T. J., King, R. E., & Thoney, K. A. (2004), International Journal of Production Research, 42(23), 4893–4907. https://doi.org/10.1080/00207540410001721754
Scheduling non-similar groups on a flow line: multiple group setups
Wilson, A. D., King, R. E., & Hodgson, T. J. (2004), Robotics and Computer-Integrated Manufacturing, 20(6), 505–515. https://doi.org/10.1016/j.reim.2004.07.002
Integrated job release and shop-floor scheduling to minimize WIP and meet due-dates
Zozom, A., Hodgson, T. J., King, R. E., Weintraub, A. J., & Cormier, D. (2003), International Journal of Production Research, 41(1), 31–45. https://doi.org/10.1080/00207540210162992
Satisfying due-dates in a job shop with sequence-dependent family set-ups
Taner, M. R., Hodgson, T. J., King, R. E., & Thoney, K. A. (2003), International Journal of Production Research, 41(17), 4153–4169. https://doi.org/10.1080/0020754031000149167
Satisfying due-dates in large multi-factory supply chains
Thoney, K. A., Hodgson, T. J., King, R. E., Taner, M. R., & Wilson, A. D. (2002), IIE Transactions, 34(9), 803–811. https://doi.org/10.1080/07408170208928913
Simulation Modeling of the textile supply chain - Part 1: The textile-plant models
Nuttle, H. L. W., King, R. E., Hunter, N. A., Wilson, J. R., & Fang, S. C. (2000), Journal of the Textile Institute, 91(1), 35–50. https://doi.org/10.1080/00405000008659526
Simulation Modeling of the textile supply chain - Part II: Results and research directions
Nuttle, H. L. W., King, R. E., Fang, S. C., Wilson, J. R., & Hunter, N. A. (2000), Journal of the Textile Institute, 91(1), 51–64. https://doi.org/10.1080/00405000008659527
On satisfying due-dates in large job shops: Idle time insertion
Hodgson, T. J., King, R. E., Thoney, K., Stanislaw, N., Weintraub, A. J., & Zozom, A. (1999), IIE Transactions, 32(2), 177–180. https://doi.org/10.1080/07408170008963890
Scheduling with alternatives: a link between process planning and scheduling
Weintraub, A., Cormier, D., Hodgson, T., King, R., Wilson, J., & Zozom, A. (1999), IIE Transactions, 31(11), 1093–1102.
Decision support system for lumber procurement and dry kiln scheduling
Huang, J. C. C., Culbreth, C. T., Joines, J. A., King, R. E., & Hodgson, T. J. (1998), Forest Products Journal, 48(9), 51–59.
Ready time scheduling with stochastic service times
Hodgson, T. J., King, R. E., & Stanfield, P. M. (1997), Operations Research, 45(5), 779–783. https://doi.org/10.1287/opre.45.5.779

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