JAMES REED WILSON - Industrial and Systems Engineering - North ...

WILSON – 9
37. Avramidis, A., and J. R. Wilson. 1994. A flexible method for estimating inverse distribution functions in
simulation experiments. ORSA Journal on Computing 6 (4): 342–355. Available online as www.ise.ncsu.
edu/jwilson/files/avramidis94joc.pdf [accessed January 26, 2008].
38. Sezgi, U. S., A. G. Kirkman, H. Jameel, H. Chang, J. J. Morrison, C. A. Bianchini, and J. R. Wilson. 1994. A
combined discrete-continuous simulation model of an RDH tank farm. Tappi Journal 77 (7): 213–220.
39. AbouRizk, S. M., D. W. Halpin, and J. R. Wilson. 1994. Fitting beta distributions based on sample data.
Journal of Construction Engineering and Management 120 (2): 288–305. Available online as www.ise.ncsu.
edu/jwilson/files/abourizk94jcem.pdf [accessed January 26, 2008].
40. Johnson, M. A., S. Lee, and J. R. Wilson. 1994. NPPMLE and NPPSIM: Software for estimating and
simulating nonhomogeneous Poisson processes having cyclic behavior. Operations Research Letters 15:273–
282. Available online as www.ise.ncsu.edu/jwilson/files/johnson94orl.pdf [accessed January 26,
2008].
41. Johnson, M. A., S. Lee, and J. R. Wilson. 1994. Experimental evaluation of a procedure for estimating
nonhomogeneous Poisson processes having cyclic behavior. ORSA Journal on Computing 6 (4): 356–368.
Available online as www.ise.ncsu.edu/jwilson/files/johnson94joc.pdf [accessed January 26, 2008].
42. Lutz, J. D., D. W. Halpin, and J. R. Wilson. 1994. Simulation of learning development in repetitive construction.
Journal of Construction Engineering and Management 120 (4): 753–767.
43. Wagner, M. A. F., and J. R. Wilson. 1995. Graphical interactive simulation input modeling with bivariate Bézier
distributions. ACM Transactions on Modeling and Computer Simulation 5 (3): 163–189. Available online as
www.ise.ncsu.edu/jwilson/files/wagner95tomacs.pdf [accessed January 26, 2008].
44. Wu, P., S.-C. Fang, H. L. W. Nuttle, J. R. Wilson, and R. E. King. 1995. Guided neural network learning using
a fuzzy controller, with applications to textile spinning. International Transactions in Operational Research 2
(3): 259–272.
45. Wagner, M. A. F., and J. R. Wilson. 1996. Using univariate Bézier distributions to model simulation input
processes. IIE Transactions 28 (9): 699–711. Available online as www.ise.ncsu.edu/jwilson/files/
wagner96iie.pdf [accessed January 26, 2008].
46. Hopper, D. A., P. A. Hammer, and J. R. Wilson. 1996. Comparison of two simulation-based methods for
modeling plant growth. HortScience 31 (1): 25–28. Available online as www.ise.ncsu.edu/jwilson/
files/hopper96hortsci.pdf [accessed June 22, 2010].
47. Avramidis, A. N., and J. R. Wilson. 1996. Integrated variance reduction strategies for simulation. Operations
Research 44 (2): 327–346. Available online as www.ise.ncsu.edu/jwilson/files/avramidis96or.pdf
[accessed January 26, 2008].
48. Kuhl, M. E., J. R. Wilson, and M. A. Johnson. 1997. Estimating and simulating Poisson processes having
trends or multiple periodicities. IIE Transactions 29 (3): 201–211. Available online as www.ise.ncsu.edu/
jwilson/files/kuhl97iie.pdf [accessed January 26, 2008].
49. Houck, C. R., J. A. Joines, M. G. Kay, and J. R. Wilson. 1997. Empirical investigation of the benefits of partial
Lamarckianism. Evolutionary Computation 5 (1): 31–60. Available online as www.ise.ncsu.edu/jwilson/
files/houck97evco.pdf [accessed June 22, 2010].
50. Lavelle, J. P., J. R. Wilson, H. J. Gold, and J. R. Canada. 1997. A method for the incorporation of parametric
uncertainty in the weighted evaluation multi-attribute decision analysis model. Computers and Industrial
Engineering 32 (4): 769–786.
51. Seifert, R. W., M. G. Kay, and J. R. Wilson. 1998. Evaluation of AGV routing strategies using hierarchical
simulation. International Journal of Production Research 36 (7): 1961–1976. Available online as www.ise.
ncsu.edu/jwilson/files/seifert98ijpr.pdf [accessed April 25, 2009].