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Goel, A., Baker, C. A., Shaffer, C. A., Grossman, B., Mason, W. H., Watson, L. T. et al. (2001). Vizcraft: A Problem-Solving Environment for Aircraft Configuration Design. Computing in Science & Engineering, 3, 56-66.
https://doi.org/10.1109/5992.895188

has been cited by the following article:

• TITLE: Contour Approach for Analysis of Minimum Regions for the Economic Statistical Design of X-Bar Control Charts

  AUTHORS: Santiago-Omar Caballero-Morales, Abdur Rahim

  KEYWORDS: Contour Plots, Economic-Statistical Design, 2D Visualization

  JOURNAL NAME: Journal of Service Science and Management, Vol.17 No.5, September 4, 2024

  ABSTRACT: Visualization of the patterns or behaviors of complex functions is an important approach to identifying their solution spaces. This approach can lead to improving the design of search algorithms for optimization purposes. This paper presents a 2D visualization method based on minimum cost scores (MCS) to identify the most likely regions to find optimal values for the economic statistical design of X-bar control charts. Uniform sampling was considered for the analysis of the cost function of Rahim and Banerjee (1993). Elliptical regions were found to model the minimum regions defined by MCS values estimated for this cost function through different values of sample size (n), length of the sampling interval (h) and coefficient of the control chart’s limits (L). This method was assessed by finding the optimal set of n and h values within these elliptical regions. Optimal values reported in the literature with Genetic Algorithms (GA) were considered for this case. It was observed that the optimal values were located within the boundaries of the elliptical regions and were associated with sub-regions with the highest MCS values. This confirms the suitability of this approach to obtain the a-priori estimation of the solution space.