GESAS II: A Better Relationship Between Efficiency And Efficacy While Experimenting With Simulation Models  

Oleh:

Otamendi, Javier

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Simulation vol. 80 no. 2 (Feb. 2004), page 77-86.
Topik: System analysis; efficient algorithms; decision making; statistical analysis
Fulltext: 77.pdf (221.1KB)

Isi artikel

A general methodology that solves the decision-making problem associated with simulation models is needed to find a very good compromise solution between efficacy and efficiency. Several methodologies in the literature try to solve the problem, but every one of them includes hypotheses that usually hamper efficacy by improving efficiency. GESAS, first, and GESAS II, now, try to use the constantly improving power of computers to examine as many alternatives as possible, with the aim of exhaustive evaluation of alternatives for medium-size problems. The objective is to develop a ef- ficient rejection algorithm by reducing the necessary number of repetitions to analyze the subpar alternatives. Several methodologies are tested against the common example of inventory control, which includes in this case three input variables (that account for 2646 different alternatives) and two competing criteria.

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