research-article

Problem solving, model solving, or what?

Authors:

Jasna Kuljis,

Ray J. PaulAuthors Info & Claims

WSC '10: Proceedings of the Winter Simulation Conference

Pages 353 - 358

Published: 05 December 2010 Publication History

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Abstract

Simulation Modeling may have moved on from its early days as decision aiding and problem investigation. Large models of complex partially understood problems are being commissioned from model builders to enable investigations of the problem the model addresses. This paper raises the issues that need to be considered and thought about such situations.

References

[1]

Balmer, D. W. and R. J. Paul. 1990. Integrated Support Environments for Simulation Modelling. In Proceedings of the 1990 Winter Simulation Conference, ed. O. Balci, R. P. Sadowski and R. E. Nance, 243--249. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.

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[2]

Kuljis, J. and R. J. Paul. 2000. A Review of Web Based Simulation: Whither We Wander? In Proceedings of the 2000 Winter Simulation Conference, ed. J. A. Joines, R. R. Barton, K. Kang and P. A. Fishwick, 1872--1881. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.

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Nance, R. E. 1994. The Conical Methodology and the Evolution of Simulation Model Development, Annals of Operations Research 53:1--45.

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Paul R. J. 1992. The Computer Aided Simulation Modeling Environment: An Overview. In Proceedings of the 1992 Winter Simulation Conference, ed. J. J. Swain, D. Goldsman, R. C. Crain, and J. R. Wilson, 737--746. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.

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Paul, R. J., T. Eldabi, and J. Kuljis. 2003. Simulation Education Is No Substitute For Intelligent Thinking. In Proceedings of the 2003 Winter Simulation Conference, ed. S. Chick, P. J. Sánchez, D. Ferrin, and D. J. Morrice, 1989--1993. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.

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Paul, R. J., T. Eldabi, J. Kuljis, and S. J. E. Taylor. 2005. Is Problem Solving, Or Simulation Model Solving, Mission Critical? In Proceedings of the 2005 Winter Simulation Conference, ed. M. E. Kuhl, N. M. Steiger, F. B. Armstrong and J. A. Joines, 547--554. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.

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Paul, R. J., M. Elder, R. Nance, E. H. Page and J. Rozenblit. 2005a. Is Problem Solving, Or Simulation Model Solving, Mission Critical? The Panel Reloads. In Proceedings of the 2005 Winter Simulation Conference ed. M. E. Kuhl, N. M. Steiger, F. B. Armstrong and J. A. Joines, 555. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.

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Cited By

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Gogi ATako ARobinson SBuckley SMiller J(2014)A preliminary study on the role of simulation models in generating insightsProceedings of the 2014 Winter Simulation Conference10.5555/2693848.2694299(3618-3629)Online publication date: 7-Dec-2014
https://dl.acm.org/doi/10.5555/2693848.2694299
Olson KRose OUhrmacher A(2012)A forthcoming useful toolProceedings of the Winter Simulation Conference10.5555/2429759.2430198(1-2)Online publication date: 9-Dec-2012
https://dl.acm.org/doi/10.5555/2429759.2430198
Olson KRose OUhrmacher A(2012)A forthcoming useful toolProceedings of the Winter Simulation Conference10.5555/2429759.2430171(1-2)Online publication date: 9-Dec-2012
https://dl.acm.org/doi/10.5555/2429759.2430171

Index Terms

Problem solving, model solving, or what?
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Model verification and validation

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WSC '10: Proceedings of the Winter Simulation Conference

December 2010

3519 pages

ISBN:9781424498642

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Winter Simulation Conference

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Published: 05 December 2010

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WSC10: Winter Simulation Conference

December 5 - 8, 2010

Maryland, Baltimore

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WSC '10 Paper Acceptance Rate 184 of 281 submissions, 65%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Gogi ATako ARobinson SBuckley SMiller J(2014)A preliminary study on the role of simulation models in generating insightsProceedings of the 2014 Winter Simulation Conference10.5555/2693848.2694299(3618-3629)Online publication date: 7-Dec-2014
https://dl.acm.org/doi/10.5555/2693848.2694299
Olson KRose OUhrmacher A(2012)A forthcoming useful toolProceedings of the Winter Simulation Conference10.5555/2429759.2430198(1-2)Online publication date: 9-Dec-2012
https://dl.acm.org/doi/10.5555/2429759.2430198
Olson KRose OUhrmacher A(2012)A forthcoming useful toolProceedings of the Winter Simulation Conference10.5555/2429759.2430171(1-2)Online publication date: 9-Dec-2012
https://dl.acm.org/doi/10.5555/2429759.2430171

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Solving the Temporal Knapsack Problem via Recursive Dantzig-Wolfe Reformulation

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Solving the Temporal Knapsack Problem via Recursive Dantzig-Wolfe Reformulation

Exact procedures for solving the discrete ordered median problem

Solving the interval linear programming problem

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