实验设计(DOE)技术的应用策略综述

Basma Yahya Alashwal, Mohamed Saad Bala, Arun Gupta, Triveni Soubam
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引用次数: 1

摘要

实验设计(DOE)已经发展成为一种有价值的统计和数学过程收集技术,用于建模和分析涉及影响期望响应的多个变量的问题。许多研究人员和工程师在许多领域使用这种技术,包括植物学、制药、生物技术和其他工程学科。本文综述了响应面法(RSM)实验设计的要点。实验设计(DOE)有指导方针和程序,但文献并没有推荐从大量可能的设计中寻找和选择最佳设计的具体方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strategies using of Design of Experiments (DOE) techniques: In view of a Review
There Design of Experiment (DOE) has developed into a valuable collection technique for statistical and mathematical processes used in modelling and analysis of problems involving multiple variables influencing the desired response. Numerous researchers and engineers use this technique in a variety of fields, including botany, pharmaceuticals, biotechnology, and other engineering disciplines. This review article summarised key points from the Design of Experiments Using Response Surface Methodology (RSM). Design of experiments (DOE) has guidelines and procedures, but the literature does not recommend a specific method for finding and selecting the best possible design from a large number of possible designs.
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