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Information Journal Paper

Title

COMPARISON OF PARAMETRIC AND NONPARAMETRIC METHODS OF OPTIMIZATION IN TEXTILE SYSTEMS WITH ROBUST PARAMETER DESIGN APPROACH

Pages

  25-40

Abstract

ROBUST PARAMETER DESIGN is an engineering methodology intended as a cost-effective approach for improving the quality of products and processes. The goal of parameter design is to choose the levels of the control variables that optimize a defined quality characteristic. An essential component of ROBUST PARAMETER DESIGN involves the assumption of well estimated models for the process mean and variance. Traditionally, the modeling of the mean and variance has been done parametrically. It is often the case, particularly when modeling the variance, that nonparametric techniques are more appropriate due to the nature of the curvature in the underlying function. In this paper, while the optimizing wool dying process in textile industry though two parametric and nonparametric methods of optimization, we comparison obtained results.

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    APA: Copy

    MOGHADAM, M.B.. (2011). COMPARISON OF PARAMETRIC AND NONPARAMETRIC METHODS OF OPTIMIZATION IN TEXTILE SYSTEMS WITH ROBUST PARAMETER DESIGN APPROACH. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), 8(3 (30)), 25-40. SID. https://sid.ir/paper/164607/en

    Vancouver: Copy

    MOGHADAM M.B.. COMPARISON OF PARAMETRIC AND NONPARAMETRIC METHODS OF OPTIMIZATION IN TEXTILE SYSTEMS WITH ROBUST PARAMETER DESIGN APPROACH. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS)[Internet]. 2011;8(3 (30)):25-40. Available from: https://sid.ir/paper/164607/en

    IEEE: Copy

    M.B. MOGHADAM, “COMPARISON OF PARAMETRIC AND NONPARAMETRIC METHODS OF OPTIMIZATION IN TEXTILE SYSTEMS WITH ROBUST PARAMETER DESIGN APPROACH,” JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), vol. 8, no. 3 (30), pp. 25–40, 2011, [Online]. Available: https://sid.ir/paper/164607/en

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