메뉴 건너뛰기




Volumn , Issue , 2008, Pages 273-280

A new perspective on feasibility determination

Author keywords

[No Author keywords available]

Indexed keywords

ASYMPTOTICALLY OPTIMAL; MONTE CARLO SIMULATIONS; OPTIMAL ALLOCATIONS; PERFORMANCE MEASURES; STOCHASTIC APPROXIMATIONS; STOCHASTIC SETTINGS; TIME BEHAVIORS;

EID: 60749109819     PISSN: 08917736     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WSC.2008.4736078     Document Type: Conference Paper
Times cited : (64)

References (24)
  • 1
    • 0032135154 scopus 로고    scopus 로고
    • A multi-criterion approach for kanban allocations
    • Andijani, A. A. 1998. A multi-criterion approach for kanban allocations. Omega 26:483-93.
    • (1998) Omega , vol.26 , pp. 483-493
    • Andijani, A.A.1
  • 2
    • 33846704508 scopus 로고    scopus 로고
    • Finding the best in the presence of stochastic constraints
    • ed. M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc
    • Andradottir, S., D. Goldsman, and S.-H. Kim. 2005. Finding the best in the presence of stochastic constraints. In Proceedings of the 2005 Winter Simulation Conference, ed. M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, 732-738. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.
    • (2005) Proceedings of the 2005 Winter Simulation Conference , pp. 732-738
    • Andradottir, S.1    Goldsman, D.2    Kim, S.-H.3
  • 3
    • 33846694124 scopus 로고    scopus 로고
    • Finding the set of feasible systems when the number of systems or constraints is large
    • ed. M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc
    • Batur, D., and S.-H. Kim. 2005. Finding the set of feasible systems when the number of systems or constraints is large. In Proceedings of the 2005 Winter Simulation Conference, ed. M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, 692-698. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.
    • (2005) Proceedings of the 2005 Winter Simulation Conference , pp. 692-698
    • Batur, D.1    Kim, S.-H.2
  • 5
    • 84981748011 scopus 로고
    • New York: Wiley Series in Probability and Mathematical Statistics
    • Bernardo, J. M., and A. F. M. Smith. 1994. Bayesian theory. New York: Wiley Series in Probability and Mathematical Statistics.
    • (1994) Bayesian theory
    • Bernardo, J.M.1    Smith, A.F.M.2
  • 6
    • 0035381983 scopus 로고    scopus 로고
    • A multiple attribute utility theory approach to ranking and selection
    • Butler, J., D. J. Morrice, and P. W. Mullarkey. 2001. A multiple attribute utility theory approach to ranking and selection. Management Science 47:800-816.
    • (2001) Management Science , vol.47 , pp. 800-816
    • Butler, J.1    Morrice, D.J.2    Mullarkey, P.W.3
  • 7
    • 0034187322 scopus 로고    scopus 로고
    • Computing efforts allocation for ordinal optimization and discrete event simulation
    • Chen, H. C, C. H. Chen, and E. Yucesan. 2000. Computing efforts allocation for ordinal optimization and discrete event simulation. IEEE Transactions on Automatic Control 45:960-964.
    • (2000) IEEE Transactions on Automatic Control , vol.45 , pp. 960-964
    • Chen, H.C.1    Chen, C.H.2    Yucesan, E.3
  • 8
    • 0035460965 scopus 로고    scopus 로고
    • New two-stage and sequential procedures for selecting the best simulated system
    • Chick, S., and K. Inoue. 2001. New two-stage and sequential procedures for selecting the best simulated system. Operations Research 49:1609-1624.
    • (2001) Operations Research , vol.49 , pp. 1609-1624
    • Chick, S.1    Inoue, K.2
  • 10
    • 0002771487 scopus 로고
    • Allocation of observations in ranking and selection with unequal variances
    • Dudewicz, E. J., and S. R. Dalal. 1975. Allocation of observations in ranking and selection with unequal variances. Sankhya B37:28-78.
    • (1975) Sankhya , vol.B37 , pp. 28-78
    • Dudewicz, E.J.1    Dalal, S.R.2
  • 11
    • 17744392866 scopus 로고    scopus 로고
    • A large deviations perspective on ordinal optimization
    • ed. R. G. Ingalls, M. D. Rossetti, J. S. Smith, and B. A. Peters, Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc
    • Glynn, P., and S. Juneja. 2004. A large deviations perspective on ordinal optimization. In Proceedings of the Winter Simulation Conference, ed. R. G. Ingalls, M. D. Rossetti, J. S. Smith, and B. A. Peters, 192-199. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.
    • (2004) Proceedings of the Winter Simulation Conference , pp. 192-199
    • Glynn, P.1    Juneja, S.2
  • 12
    • 0030590294 scopus 로고    scopus 로고
    • Bayesian look ahead one-stage sampling allocations for selection of the best population
    • Gupta, S. S., and K. J. Miescke. 1996. Bayesian look ahead one-stage sampling allocations for selection of the best population. Journal of Statistical Planning and Inference 54:229-244.
    • (1996) Journal of Statistical Planning and Inference , vol.54 , pp. 229-244
    • Gupta, S.S.1    Miescke, K.J.2
  • 13
    • 85041932706 scopus 로고
    • On the order statistics from equally correlated normal random variables
    • Gupta, S. S., K. Nagel, and S. Panchapakesan. 1973. On the order statistics from equally correlated normal random variables. Biometrika 60:403-13.
    • (1973) Biometrika , vol.60 , pp. 403-413
    • Gupta, S.S.1    Nagel, K.2    Panchapakesan, S.3
  • 16
    • 85046526701 scopus 로고    scopus 로고
    • Simultaneous optimization of mechanical properties of steel by maximizing exponential desirability functions
    • Kim, K., and D. Lin. 2001. Simultaneous optimization of mechanical properties of steel by maximizing exponential desirability functions. J. Roy. Statist. Soc. (Series C) 49:1609-1624.
    • (2001) J. Roy. Statist. Soc. (Series C) , vol.49 , pp. 1609-1624
    • Kim, K.1    Lin, D.2
  • 19
    • 46149106625 scopus 로고    scopus 로고
    • Lee, L, H E. P. Chew, and S. Tang. 2006, Integration of statistical selection with search mechanism for solving multì-objective simulation optimization problems. In Proceedings of the 2006 Winter Simulation Conference, ed. L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, 294-303. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.
    • Lee, L, H" E. P. Chew, and S. Tang. 2006, Integration of statistical selection with search mechanism for solving multì-objective simulation optimization problems. In Proceedings of the 2006 Winter Simulation Conference, ed. L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, 294-303. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.
  • 20
    • 49749110777 scopus 로고    scopus 로고
    • Finding the pareto set for multi-objective simulation models by minimization of expected opportunity cost
    • ed. S. G. Henderson, B. Biller, M.-H. Hsieh, J. Shortle, J. D. Tew, and R. R. Barton, Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc
    • Lee, L. H., E. P. Chew, and S. Tang. 2007. Finding the pareto set for multi-objective simulation models by minimization of expected opportunity cost. In Proceedings of the 2007 Winter Simulation Conference, ed. S. G. Henderson, B. Biller, M.-H. Hsieh, J. Shortle, J. D. Tew, and R. R. Barton, 513-521. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.
    • (2007) Proceedings of the 2007 Winter Simulation Conference , pp. 513-521
    • Lee, L.H.1    Chew, E.P.2    Tang, S.3
  • 21
    • 0001036667 scopus 로고
    • Two-stage multiple comparisons with the best for computer simulation
    • Matejcik, F. J., and B. L. Nelson. 1995. Two-stage multiple comparisons with the best for computer simulation. Operations Research 43:633-640.
    • (1995) Operations Research , vol.43 , pp. 633-640
    • Matejcik, F.J.1    Nelson, B.L.2
  • 22
    • 0001338090 scopus 로고
    • Using common random numbers for indifference-zone selection and multiple comparisons in simulation
    • Nelson, B. L., and F. J. Matejcik. 1995. Using common random numbers for indifference-zone selection and multiple comparisons in simulation. Management Science 41:1935-1945.
    • (1995) Management Science , vol.41 , pp. 1935-1945
    • Nelson, B.L.1    Matejcik, F.J.2
  • 23
    • 0000145493 scopus 로고
    • A sequential procedure for selecting the population with the largest mean from k normal populations
    • Paulson, E. 1964. A sequential procedure for selecting the population with the largest mean from k normal populations. Annals of Mathematical Statistics 35:174-180.
    • (1964) Annals of Mathematical Statistics , vol.35 , pp. 174-180
    • Paulson, E.1
  • 24
    • 0001552833 scopus 로고
    • On two-stage selection procedures and related probability-inequalities
    • Rinott, Y. 1978. On two-stage selection procedures and related probability-inequalities. Communications in Statistics A7:799-811.
    • (1978) Communications in Statistics , vol.A7 , pp. 799-811
    • Rinott, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.