کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4637126 1340734 2006 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multiresponse robust design: Mean square error (MSE) criterion
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
Multiresponse robust design: Mean square error (MSE) criterion
چکیده انگلیسی

Most of the published literature on robust design methodology is basically concerned with optimization of a single response or quality characteristic which is often most critical to consumers. However, manufactured products are typically characterized by numerous quality characteristics. In this paper we present a general framework for the multivariate problem when data are collected from a combined array. Within the framework, a mean square error (MSE) criterion is utilized and a non-linear multiobjective programming problem based on the individual MSE functions of each response is proposed for quality improvement. We adapted a suitable non-linear optimization algorithm to solve the proposed formulation. The optimization method used in this paper generates a string of solutions, called Pareto optimal solutions, rather than a “one shot” optimum solution to make selections and evaluate the trade-offs. The paper also presents an example and comparative results in order to demonstrate the potentials of the proposed approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 175, Issue 2, 15 April 2006, Pages 1716–1729
نویسندگان
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