Optimization of Factorial Design with the type of Plackett-Burman Design to Study the Effects of Organic Rice Production Process: Second Step Experiment

This research conducted the second experiment is to evaluate the results of organic rice production by controlling two variables. To consist of the spindle of speed and clearance between the rubber and two levels. The test statistics will be used. Factorial design Choose the type of Plackett-Burman design. Both variables and experiment levels have the effect of organic rice production process at the level of significance. To study the interaction among the factors a 36 factorial experiment approach has been adopted using the two basic principles of experimental design, replication and randomization. The process model was formulated based on Analysis of variance (ANOVA) and regression of coefficient using Minitab Release 15.00. The results showed that both variables were p value is greater than alpha value (0.216 > 0.05). There are no significant differences. Shows that the SS and CL is significant to the effect of organic rice production process. So, the conclusion is accepting H0

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Optimization of Factorial Design with the type of Plackett-Burman Design to Study the Effects of Organic Rice Production Process: First Step Experiment

International Journal of Advanced Trends in Computer Science and Engineering ◽

10.30534/ijatcse/2021/831032021 ◽

2021 ◽

Vol 10 (3) ◽

pp. 2080-2084

Keyword(s):

Experimental Design ◽

Statistical Model ◽

Production Process ◽

Factorial Design ◽

Process Model ◽

Basic Principles ◽

Organic Rice ◽

Burman Design ◽

Design Type ◽

Plackett Burman Design

The research aims at the optimization to determine factors production process of the of the output organic rice so that the best possible set of parameters affecting it can be selected to get the desired output. For this purpose, the effect of various parameters on the organic rice output is studied. To facilitate the study and detailed analysis, a statistical model is constructed which is used to predict and optimize the performance of the system. Efficient organic rice optimization determines the input variable settings to adjust the organic rice of the organic rice according to the consumption of the parts in the next phase of production process.To study the interaction among the factors a 36 factorial experiment approach has been adopted using the two basic principles of experimental design replication and randomization. The process model was formulated based on analysis of variance (ANOVA) and regression of coefficient using Minitab Release 19.00. The output is represented graphically and in the form of empirical model which defines the performance characteristics of the production process of organic rice by factorial design type of Placket-Burman design

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Economics Of Organic Rice Production

Journal of Agriculture and Environment ◽

10.3126/aej.v12i0.7569 ◽

2013 ◽

Vol 12 ◽

pp. 97-103 ◽

Cited By ~ 8

Author(s):

Raj K Adhikari

Keyword(s):

Poultry Manure ◽

Labor Cost ◽

Rice Production ◽

P Value ◽

Organic Rice ◽

Technology Generation ◽

Development Interventions ◽

Human Labor ◽

Agriculture And Environment ◽

Significant Factors

Interest on organic agriculture is growing gradually in Nepal and the development interventions are concentrated more on technology generation and extension. But analysis on its economic aspect is lacking far behind. In order to know the economic performance of organic farming in general and that of organic rice production in particular, a survey research was carried out in Chitwan in 2010. From the study, the average productivity of organic rice production was found 3.15 Mt/ha which is consistent higher than national average. Among the factor cost, labor cost was found to contribute highest in total cost of production while poultry manure cost, human labor cost and oil cake cast were found to be significant factors at (P value < 0.05) to contribute in total revenue. The B:C ratio of organic rice production was found to be 1.15. The Journal of Agriculture and Environment Vol:12, Jun.2011, Page 97-103 DOI: http://dx.doi.org/10.3126/aej.v12i0.7569

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DESIGN OF CULTURAL CONDITIONS FOR PRODUCTION OF CHONDROITINASE BY ASPERGILLUS NIGER USING DESIGN OF EXPERIMENTS

INDIAN DRUGS ◽

10.53879/id.52.06.10275 ◽

2015 ◽

Vol 52 (06) ◽

pp. 24-32

Author(s):

N Kasinathan ◽

◽

V. M. Subrahmanyam ◽

V. R Josyula

Keyword(s):

Design Of Experiments ◽

Yeast Extract ◽

Spinal Cord Injuries ◽

Box Behnken Design ◽

Medium Components ◽

Cultural Conditions ◽

Burman Design ◽

Level Of Significance ◽

Optimized Conditions ◽

Plackett Burman Design

Chondroitinases are useful in treating cancer and spinal cord injuries. The work reported so far does not focus on production of fungal chondroitinase. The present study focuses on the optimization of cultural conditions using design of experiments for production of chondroitinase by a fungal isolate CHCS-2, obtained from humus containing poultry waste. The cultural conditions were optimized systematically using a one-factor-at-a-time (OFAT) approach, factorial design, Plackett-Burman design (PBD) and Box- Behnken design to identify the composition of the production medium and the level of the variables. The level of significance of the medium components selected by OFAT study viz., yeast extract, chondroitin, and phosphate, was analyzed by factorial studies. The effect of eleven minerals on the enzyme yield was studied by PBD. The interaction among the medium components selected using factorial and PBD viz., yeast extract, cobalt and aluminum was investigated using the Box-Behnken design (BBD). Under the optimized conditions, maximum chondroitinase yield was 22.5 U/mL.

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Optimization of Bifonazole-Loaded Nisomal Formulation Using Plackett-Burman Design and 2 Factorial Design

Open Pharmaceutical Sciences Journal ◽

10.2174/1874844901603010031 ◽

2016 ◽

Vol 3 (1) ◽

pp. 31-48 ◽

Cited By ~ 4

Author(s):

Harshal Ashok Pawar ◽

Vibhavari Bhaskar Attarde ◽

Gide Parag Subhash

Keyword(s):

Factorial Design ◽

Burman Design ◽

Plackett Burman Design

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Does the COVID-19 pandemic affect social-ecological resilience of organic rice production system in Chiang Mai Province, Thailand?

Forest and Society ◽

10.24259/fs.v5i2.10642 ◽

2021 ◽

pp. 209-223

Author(s):

Chaiteera Panpakdee ◽

Fakjit Palinthorn

Keyword(s):

Production System ◽

Rice Production ◽

Ecological Resilience ◽

P Value ◽

Chiang Mai ◽

Organic Rice ◽

Social Ecological ◽

Significant Difference ◽

Before And After ◽

Chiang Mai Province

The purpose of this study was to investigate how the COVID-19 pandemic affects the organic rice production system in four districts of Chiang Mai Province. Eight organic farmers were purposefully chosen as informants because they have possessed forty-seven resilience components (SERCs) needed to cope with all kinds of social-ecological change. They were asked using a structured questionnaire to assign each SERC’s contribution value before and after the COVID-19 pandemic, in which each time scoring must be coupled with entailed explanations. Then, the paired samples t-test was run to compare such means of SERCs’ contribution values to examine whether their organic rice production’s resilience was affected by the pandemic and how. Results showed the means of SERCs before and after the pandemic have no significant difference as the p-value is 1.00 at the 95% confidence interval. This meant the pandemic does not influence the organic rice production’s social-ecological resilience. But several practices and qualifications were found varying from the original to make production more suitable. The dependence on household labor and that on mutual labor exchange were respectively increased and decreased in their roles in resilience building. Labor availability was interrupted by the social distancing protocol that had restricted people from gathering. Besides, the household accounts recording was adopted more than usual for being seen as a solution to improving the household economy during the time of financial vulnerability. Importantly, relying on local goods was remarkably recognized for increased importance. This was an attempt to get access to materials possibly free from the COVID-19 contamination because of the absent transportation. These findings provide two key interests. They can be applied as a framework not only to strengthen agricultural resilience but also to propose a blueprint of coping mechanisms against the pandemic at a mass scale.

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PLACKETT–BURMAN DESIGN AS A TOOL FOR SCREENING AND PROCESS OPTIMIZATION OF RIVASTIGMINE-LOADED LIPID NANOCARRIERS

Asian Journal of Pharmaceutical and Clinical Research ◽

10.22159/ajpcr.2018.v11i12.28066 ◽

2018 ◽

Vol 11 (12) ◽

pp. 155

Author(s):

Anubhav Anand ◽

Gyanendra Singh ◽

Shubhini A Saraf

Keyword(s):

Particle Size ◽

Entrapment Efficiency ◽

Diffusion Method ◽

P Value ◽

Sonication Time ◽

Sugar Ester ◽

Factors Affecting ◽

Lipid Nanocarriers ◽

Burman Design ◽

Plackett Burman Design

Objective: Plackett–Burman experimental design is used to identify the most important factors early in the experimentation phase when complete knowledge about the system is usually unavailable. The objective of this study was to screen out the most important factors affecting the size and entrapment efficiency of rivastigmine hydrogen tartrate (RHT) nanostructured lipid carriers (NLCs).Methods: The RHT-loaded NLC was prepared by the modified solvent emulsification-diffusion method. The independent variables selected for Plackett–Burman design were drug: lipid ratio, solid lipid/liquid lipid (S/L) ratio, concentration Ryoto sugar ester (%w/v), the concentration of poloxamer 188 (%w/v), sonication time (min), sonication amplitude, and stirring time (h).Results: The R2 value for the particle size equation was 86.16%. p value was (<0.05) 0.048 in case of sonication time. In case of entrapment efficiency, the R2 value was 87.12%. The p value (p<0.05) for S/L ratio and the Ryoto sugar (% w/v) was 0.028 and 0.042, respectively.Conclusion: It can be concluded that sonication time has a significant effect on particle size, whereas S/L ratio and Ryoto sugar ester concentration have a significant effect on entrapment efficiency.

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Identification of Effective Factors for Immobilized Lipase Catalysed Biodiesel Production from Pongamia pinnata Seed Oil Using Plackett-Burman Design

International Journal of Current Microbiology and Applied Sciences ◽

10.20546/ijcmas.2021.1009.020 ◽

2021 ◽

Vol 10 (9) ◽

pp. 173-182

Author(s):

Shilpa K. Jigajinni Bharati S. Meti

Keyword(s):

Seed Oil ◽

Immobilized Lipase ◽

Clean Energy ◽

Transesterification Reaction ◽

Biodiesel Production ◽

Molar Ratio ◽

P Value ◽

Effective Factors ◽

Burman Design ◽

Plackett Burman Design

Biodiesel a fatty acid alkyl esteris one of the promising biofuel and a clean energy source as an alternative to petroleum-based diesel fuels. The Enzymatic transesterification reaction is influenced by many factors such as amount of biocatalyst, molar ratio of oil to alcohol, temperature, pH, rpm, time etc. Effective variables for transesterification may vary based on the type of feedstock and catalyst used, therefore it is essential to optimise the process suitable for each type of feedstock to achieve higher yield of biodiesel. The statistically-based Plackett-Burman experimental design was adopted in this study to identify effective factors for transesterification reaction of Pongamiapinnata seed oil using immobilized lipase. The factors used in the present study for Plackett-Burman design are molar ratio, amount of immobilized lipase, temperature, time, pH, agitation and water content. The result showed that among seven variables, pH (p-value0.003), agitation speed(p-value 0.024) and amount of immobilized lipase(p-value 0.041) having p<0.05 are statistically significant, positively affecting the transesterification process of Pongamia seed oil. Further the variables which had significant effect on transesterification process will be selected for Response Surface Methodology studies to enhance the yield of biodiesel will be the future scope of work.

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The Factorial Design with the type of Plackett-Burman to Determine the Optimization in the Brown Rice Production Process

International Journal of Emerging Trends in Engineering Research ◽

10.30534/ijeter/2021/04972021 ◽

2021 ◽

Vol 9 (7) ◽

pp. 859-864

Keyword(s):

Production Process ◽

Factorial Design ◽

Analysis Of Variance ◽

Confidence Level ◽

Process Model ◽

Brown Rice ◽

Controlling Factors ◽

Factorial Experiment ◽

Broken Rice ◽

Two Factors

This research aims to improve the paddy husking process by experimenting with Hom Nin rice. By designing a factorial experiment, placket-Berman type, to determine the optimum value in the husking process to obtain the lowest and best percentage of broken rice in the husking process. By controlling factors two variables are the spindle of speed,and the clearance of rubber forthe two rubbers.The process model was formulated based on analysis of variance (ANOVA) and regression of coefficient.The results showed that both variables were pvalue is greater than alpha value (0.278> 0.05). The percentage of broken rice was at 8.76 at the confidence level 95 percent significance between the two factors That are, the spindleof speedis equal to 1,420 rpm and the clearance rubber between the two rubbers are equal to 1 millimeters.

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