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Determination of operating policies for a barge transportation system through simulation and optimization modeling

Published: 07 December 2008 Publication History

Abstract

This paper presents a simulation model of a barge transportation system for petroleum delivery within an inland waterway. The simulation is employed as an evaluation model within a decision support system which also includes a criterion model, represented as a decision maker's utility function, and an optimization procedure which employs scatter search. Variance reduction techniques are also employed in order to improve the accuracy of the estimates of the performance measures associated with the system. The main purpose of the system is to determine values for important inventory policy variables.

References

[1]
Anderson, N. P. 2004. Simulation optimization of logistics systems through the use of criterion models. Ph.D. Dissertation, Department of Industrial Engineering, University of Louisville, Louisville, Kentucky.
[2]
Glover, F., J. P. Kelly, and M. Laguna. 1999. New advances for wedding optimization and simulation. In Proceedings of the 1999 Winter Simulation Conference, 255--260. New York, NY.
[3]
Glover, F., and M. Laguna. 2000. Fundamentals of scatter search and path relinking. Control and Cybernetics 39 (3): 653--684.
[4]
Janssens, G. K., W. Deceuninck, and A. Van Breedam. 1995. Opportunities of robust regression for variance reduction in discrete event simulation. Journal of Computational and Applied Mathematics 64 (1--2): 163--176.
[5]
Kelton, W. D., R. P. Sadowski, and D. T. Sturrock. 2004. Simulation With Arena. 3rd ed. McGraw-Hill, Boston, MA.
[6]
Law, A. M., and W. D. Kelton. 2000. Simulation Modeling and Analysis. 3rd. ed. New York: McGraw-Hill, Inc.
[7]
Laguna, M., and R. Marti. 2003. Scatter Search Methodology and Implementations in C. Kluwer Academic Publishers., Boston, MA.
[8]
L'Ecuyer, P. 1994. Efficiency improvement and variance reduction. In Proceedings of the 1994 Winter Simulation Conference, 122--132. New York, NY.
[9]
McGeoch, C. 1992. Analyzing algorithms by simulation: variance reduction techniques and simulation speedups. ACM Computing Surveys 24 (2): 195--212.
[10]
Nelder, J. A., and R. Mead. 1965. A simplex method for function minimization. Computer Journal 7: 308--313.

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Published In

cover image ACM Conferences
WSC '08: Proceedings of the 40th Conference on Winter Simulation
December 2008
3189 pages
ISBN:9781424427086

Sponsors

  • IIE: Institute of Industrial Engineers
  • INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
  • ASA: American Statistical Association
  • IEEE/SMC: Institute of Electrical and Electronics Engineers: Systems, Man, and Cybernetics Society
  • SIGSIM: ACM Special Interest Group on Simulation and Modeling
  • NIST: National Institute of Standards and Technology
  • (SCS): The Society for Modeling and Simulation International

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Winter Simulation Conference

Publication History

Published: 07 December 2008

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  • Research-article

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WSC08
Sponsor:
  • IIE
  • INFORMS-SIM
  • ASA
  • IEEE/SMC
  • SIGSIM
  • NIST
  • (SCS)
WSC08: Winter Simulation Conference
December 7 - 10, 2008
Florida, Miami

Acceptance Rates

WSC '08 Paper Acceptance Rate 249 of 304 submissions, 82%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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