2017
DOI: 10.21533/pen.v5i3.145
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Design of experiments application, concepts, examples: State of the art

Abstract: Design of Experiments (DOE) is statistical tool deployed in various types of system, process and product design, development and optimization. It is multipurpose tool that can be used in various situations such as design for comparisons, variable screening, transfer function identification, optimization and robust design. This paper explores historical aspects of DOE and provides state of the art of its application, guides researchers how to conceptualize, plan and conduct experiments, and how to analyze and i… Show more

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Cited by 204 publications
(178 citation statements)
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“…To reduce the number and the scope of experiments and to discover the relationships between the factors affecting the drying process, the statistical Design of Experiments (DOE) method was applied [60]. The most significant factors influencing the drying process identified as controllable input factors were the drying time, solar radiation intensity, and slice thickness.…”
Section: Experimental Parametersmentioning
confidence: 99%
“…To reduce the number and the scope of experiments and to discover the relationships between the factors affecting the drying process, the statistical Design of Experiments (DOE) method was applied [60]. The most significant factors influencing the drying process identified as controllable input factors were the drying time, solar radiation intensity, and slice thickness.…”
Section: Experimental Parametersmentioning
confidence: 99%
“…Design of Experiments (DOE) is statistical tool deployed in various types of system, process and product design, development and optimization. It is multipurpose tool that can be used in various situations such as design for comparisons, variable screening, transfer function [30,31] Design of Experiments (DOE) mathematical methodology used for planning and conducting experiments as well as analyzing and interpreting data obtained from the experiments. It is a branch of applied statistics that is used for conducting scientific studies of a system, process or product in which input variables (Xs) were manipulated to investigate its effects on measured response variable (Y).…”
Section: Optimization Methodologymentioning
confidence: 99%
“…In addition, more tests with new datasets and the effect of cache memories (e.g., [58][59][60][61][62]) in parallel processing environment (e.g., [63]) are left as future works. Nowadays, the mathematical methodology namely DOE (design of experiments) is used extensively for planning-conducting experiments, analyzing, and interpreting data [64][65][66]. The possibility of usage DOE would be investigated in the long run.…”
Section: E Future Workmentioning
confidence: 99%