2012Research and Exploration in LaboratoryRequires access

Comparison of Several Common Optimal Experimental Design Methods

Lou Jian-qingb

Open publisher page 4 citations

Abstract

In order to provide the information of optimal experimental design methods for researchers,several optimization methods—factorial design,orthogonal design,uniform design and response surface methodology,which were usually used in industrial and agricultural production and scientific research,were introduced briefly.The principle,characteristics,date processing method,application and advantages and disadvantages were expounded on respectively.Some reference is provided for scientific choice of the optimal experiment design methods.The results show that the response surface methodology is applied widely in the world.

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What this paper is about

In order to provide the information of optimal experimental design methods for researchers,several optimization methods—factorial design,orthogonal design,uniform design and response surface methodology,which were usually used in industrial and agricultural production and scientific research,were introduced briefly.The principle,characteristics,date processing method,application and advantages and disadvantages were expounded on respectively.Some reference is provided for scientific choice of the optimal experiment design methods.The results show that the response surface methodology is applied widely in the world.

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Available abstract

In order to provide the information of optimal experimental design methods for researchers,several optimization methods—factorial design,orthogonal design,uniform design and response surface methodology,which were usually used in industrial and agricultural production and scientific research,were introduced briefly.The principle,characteristics,date processing method,application and advantages and disadvantages were expounded on respectively.Some reference is provided for scientific choice of the optimal experiment design methods.The results show that the response surface methodology is applied widely in the world.

Key concepts: Optimal design, Factorial experiment, Response surface methodology, Design of experiments, Computer science, Design methods, Industrial engineering, Fractional factorial design

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