Proceedings of the 25th Conference on Winter Simulation - WSC '93 1993
DOI: 10.1145/256563.256584
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Guidelines for simulation project success

Abstract: Project success comes with improving system performance. Sound project management methods help to guarantee this success. The management guidelines provided in this paper aid in directing the simulation process, controlling model development and analysis, and improving customer relations.

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Cited by 20 publications
(13 citation statements)
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“…There are also modifications of QUAL2E, such as MODQUAL, QUAL2K, and TMDL [12]. Several authors [13][14][15][16][17], who are experts in computer science and general simulation approaches, reinforce the idea to use simple models [18]. However, there may be cases, where the simple models are not the most appropriate ones for and hence ''to apply the simplest possible model is not the solution of the problem always the best idea'' [19].…”
Section: Introductionmentioning
confidence: 99%
“…There are also modifications of QUAL2E, such as MODQUAL, QUAL2K, and TMDL [12]. Several authors [13][14][15][16][17], who are experts in computer science and general simulation approaches, reinforce the idea to use simple models [18]. However, there may be cases, where the simple models are not the most appropriate ones for and hence ''to apply the simplest possible model is not the solution of the problem always the best idea'' [19].…”
Section: Introductionmentioning
confidence: 99%
“…However, those models are generally not easy to learn during classical academic training. Therefore, difficulties arise during most of the water quality modelling courses/trainings when practical applications of models are needed to be illustrated to the students/trainees (hereinafter referred to as users) who are usually inexperienced in water quality modelling Several authors (Musselman, 1993;Salt, 1993;Robinson, 1994;Pegden et al, 1995;Pidd, 1996), who are experts in computer science and general simulation approaches reinforce the idea to use simple models (Chwif and Paul, 2000). However, there may be the cases, where the simple models are not the most appropriate ones for the solution of the problem and hence "to apply the simplest possible model is not always the best idea" (Erturk et al, 2006).…”
Section: Introductionmentioning
confidence: 99%
“…In fact, simulation models of actual industrial cases are often very complex and the modellers encounter problems of scale [17]. Also, many works have highlighted the interest to use simplest (reduced/aggregated) models of simulation [1, 3,15,18,28]. In addition, neural networks have proved there abilities to extract performing models from experimental data [26].…”
Section: Introductionmentioning
confidence: 99%