Proceedings of the Winter Simulation Conference, 2005.
DOI: 10.1109/wsc.2005.1574293
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Is Problem Solving, or Simulation Model Solving, Mission Critical?

Abstract: How do we consider problems and models in the practice of simulation? It is our possibly contentious observation that simulation model solving seems to be more critical to the mission of simulation modeling than problem solving. Inspired by the theme of this year's Winter Simulation Conference, we ask the question, "Is problem solving, or simulation model solving, mission critical?" To investigate this we look at three perspectives, those of the textbook, the article and the editorial. The textbook perspective… Show more

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Cited by 4 publications
(2 citation statements)
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“…If the DES course covers some specialized simulation software, most of the time students consider fun to play with the models and their animation. This leads them to focus more in the model animation details than in solving the problem they are analyzing (Paul et al 2005). Hence, the DES course should contain assignments that lead the students to apply common modeling strategies such as considering a processes as a black box for modeling purposes, modeling problems with large stabilization time, model verification and validation strategies and so on.…”
Section: Building the Simulation Modelmentioning
confidence: 99%
“…If the DES course covers some specialized simulation software, most of the time students consider fun to play with the models and their animation. This leads them to focus more in the model animation details than in solving the problem they are analyzing (Paul et al 2005). Hence, the DES course should contain assignments that lead the students to apply common modeling strategies such as considering a processes as a black box for modeling purposes, modeling problems with large stabilization time, model verification and validation strategies and so on.…”
Section: Building the Simulation Modelmentioning
confidence: 99%
“…It is often stated by users of simulation that its primary benefit is not necessarily the data produced, but the insight that building the model provides. Paul et al discuss this in (Paul et al, 2005), noting that "sim-ulation is usually resorted to because the problem is not well understood," and more often than not, the simulation is no longer of interest once the problem is fully understood. We believe that techniques such as those discussed here can be used to enhance both modelers' and model users' understanding.…”
Section: Introductionmentioning
confidence: 99%