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Showing 3 results for Factorial Design
Volume 7, Issue 25 (7-2010)
Abstract
Abstract
Date wastes, one of the abundantly available carbohydrate agricultural wastes in the South and East of the Mediterranean, were served as a novel substrate for the production of glutamic acid, the precursor of monosodium glutamate. A fractional factorial design was used to investigate the effects of variables, namely biotin content, urea content and agitation speed on the response glutamic acid production. A second order polynomial model was used to predict the response. Agitation speed was found to significantly influence the glutamic acid production. The highest glutamic acid production was recorded at agitation speed ranging 240-250 rpm and urea concentration of 2.8-3 g/l. The study showed that the wastes from dates could serve as a low-cost substrate for glutamic acid production.
Z. Mohammad Hashemi , S. Ghazinoory , M. Sajadifar, M. Sahebkar Khorasani , A. Moussavi ,
Volume 10, Issue 4 (12-2019)
Abstract
With the approval of the law for supporting knowledge-based firms in 2010, a new wave in Iran's science, technology and innovation system began with a focus on the knowledge based economy and innovation-based. Currently, there are more than 4,000 knowledge-based firms in Iran that nearly 5% of them are active in biotechnology. The aim of the present study is to design an empirical model of the relationship between financial and tax incentives of this law on some of the performance indicators of biotechnology knowledge-based firms. For this purpose, after analyzing the content of related documents and designing the study model, for evaluating the direct and interacting effects between policy tools, identifying the important empirical factors and their level, "23 factorial design" was used. Study target community includes 113 manufacturing knowledge-based firms in the field of biotechnology. The findings of this study on input additionality indicators show the positive effect of the threefold interaction of factors on the R&D expenditure and the positive effects of commercialization financing and technology financing and their interactions on R&D employee. In the present study, there was no relationship between the effectiveness of policy tools on output additionality indicators.
Volume 11, Issue 20 (12-2007)
Abstract
Nowaday, product quality of industrial factories ,has become the challenge for their market share in competitive world .Design of experiment (DOE), as one of the newest methods of improving quality, defines the significantly effective factors and sets their optimum levels by running the experimental design. Among all, the fractional factorial designs runs, have priority to others because of the decrease in the number of In Iran, Despite its disability in resolving interaction effects,Taguchi design as the fractional design subgroup, has been used sofar for its easy analysis.
In this article, a fractional design with high- resolution degree, was defined as a case study on the refractory brick quality in Pars Refractory factory. To reach this target, the fractional design 25-1 with the high resolution degree of V,was designed and run. The results showed that controlling and setting the main interaction effects in the optimum level, lead to the minimum operation time and 41% increase in product quality.
Research and development units can cause promotion in the quality of products by implementing fractional designs with suitable resolution degree and analyzing the main and especially interaction effects.
