Optimisation of the Oil Extraction from Nigella sativa Seeds Using Response Surface Methodology

2017 ◽  
Vol 68 (2) ◽  
pp. 331-336
Author(s):  
Gabriela Isopencu ◽  
Mirela Marfa ◽  
Iuliana Jipa ◽  
Marta Stroescu ◽  
Anicuta Stoica Guzun ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Nigella Sativa ◽  
Polynomial Equation ◽  
Herbaceous Plant ◽  
Box Behnken Design ◽  
Pareto Analysis ◽  
Black Cumin ◽  
Mediterranean Countries ◽  
Experimental Values

Nigella sativa, also known as black cumin, an annual herbaceous plant growing especially in Mediterranean countries, has recently gained considerable interest not only for its use as spice and condiment but also for its healthy properties of the fixed and essential oil and its potential as a biofuel. Nigella sativa seeds fixed oil, due to its high content in linoleic acid followed by oleic and palmitic acid, could be beneficial to human health. The objective of this study is to determine the optimum conditions for the solvent extraction of Nigella sativa seeds fixed oil using a three-level, three-factor Box-Behnken design (BBD) under response surface methodology (RSM). The obtained experimental data, fitted by a second-order polynomial equation were analysed by Pareto analysis of variance (ANOVA). From a total of 10 coefficients of the statistical model only 5 are important. The obtained experimental values agreed with the predicted ones.

scholarly journals Pareto analysis based on records

Statistics ◽  
2013 ◽  
Vol 47 (5) ◽  
pp. 1075-1089 ◽  
Author(s):  
Mahdi Doostparast ◽  
Narayanaswamy Balakrishnan
Keyword(s):  
Pareto Analysis

scholarly journals Analysis of Request for Proposals in Construction Industry

2016 ◽  
Vol 20 (1) ◽  
pp. 104 ◽  
Author(s):  
Michal Tkáč ◽  
Radoslav Delina ◽  
Martina Sabolová
Keyword(s):  
Construction Industry ◽  
Single Case ◽  
The Other ◽  
Pareto Analysis ◽  
Construction Companies ◽  
Potential Client ◽  
Other Hand ◽  
Quantitative Results ◽  
Main Barrier

<p><strong>Purpose:</strong> The purpose of this paper is to identify and determine reasons why construction companies reject some of the request for proposals (RFPS) suitable for them. <br /><strong>Methodology/Approach:</strong> The research has several parts. Within the first part the list of reasons which lead to rejection of RFPS and thus potential client are identified. Then the comparison of differences between groups of rejected RFPS with different configuration is made. The last part of research use Pareto analysis to determine most obvious and most costly reasons of rejection of RFPS. <br /><strong>Findings:</strong> The paper identifies 12 reasons, why construction companies decline to prepare proposal for their potential clients. It also doesn’t confirm that configuration of RFPS has significant impact on the rejection of RFPS. Moreover the results on the other hand showed that insufficient trust represent the main barrier which influences the rejection of RFPS in selected company.<br /><strong>Research Limitation/implication:</strong> The main limitation of the research is that it is based on single case study. Although, the quantitative results have to be generalised very carefully, on the other hand paper provide list of the possible reasons why construction companies decline to compete for an offer. <br /><strong>Originality/Value of paper:</strong> The paper provides unique perspective because apart from traditional attitude, where only the submitted RFPS are evaluated, this paper analyses rejected RFPS and tries to identify and determine reasons why construction companies decide not to prepare proposal and thus reduce the possibility to acquire new contract.</p>

scholarly journals Electropolishing Parametric Optimization of Surface Quality for the Fabrication of a Titanium Microchannel Using the Taguchi Method

Machines ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 325
Author(s):  
Muslim Mahardika ◽  
Martin Andre Setyawan ◽  
Tutik Sriani ◽  
Norihisa Miki ◽  
Gunawan Setia Prihandana
Keyword(s):  
Taguchi Method ◽  
Surface Quality ◽  
Process Parameters ◽  
Applied Voltage ◽  
High Surface ◽  
Machining Process ◽  
Machining Parameters ◽  
Pareto Analysis ◽  
High Surface Quality

Titanium is widely used in biomedical components. As a promising advanced manufacturing process, electropolishing (EP) has advantages in polishing the machined surfaces of material that is hard and difficult to cut. This paper presents the fabrication of a titanium microchannel using the EP process. The Taguchi method was adopted to determine the optimal process parameters by which to obtain high surface quality using an L9 orthogonal array. The Pareto analysis of variance was utilized to analyze the three machining process parameters: applied voltage, concentration of ethanol in an electrolyte solution, and machining gap. In vitro experiments were conducted to investigate the fouling effect of blood on the microchannel. The result shows that an applied voltage of 20 V, an ethanol concentration of 20 vol.%, and a machining gap of 10 mm are the optimum machining parameters by which to enhance the surface quality of a titanium microchannel. Under the optimized machining parameters, the surface quality improved from 1.46 to 0.22 μm. Moreover, the adhesion of blood on the surface during the fouling experiment was significantly decreased, thus confirming the effectiveness of the proposed method.

scholarly journals STUDY OF POSSIBILITIES OF JOINT APPLICATION OF PARETO ANALYSIS AND RISK ANALYSIS DURING CORRECTIVE ACTIONS

2020 ◽  
Vol 4 ◽  
pp. 22-24
Author(s):  
Volodymyr Haievskyi
Keyword(s):  
Continuous Improvement ◽  
Traditional Method ◽  
Quality Management System ◽  
Corrective Action ◽  
Risk Priority Number ◽  
Risk Area ◽  
Pareto Chart ◽  
Pareto Analysis ◽  
Joint Application ◽  
Corrective Actions

Continuous improvement in the quality management system is based on corrective action. Corrective actions require the identification of priority defects that require priority elimination of the causes of occurrence. The traditional method of prioritization can be considered a Pareto chart, built by the number of identified inconsistencies. This technique makes it possible to prioritize the most frequently detected defects. However, defects that are rare can significantly outweigh those that are often encountered in their consequences. The defect risk is a complex indicator that simultaneously takes into account both the number of detected defects and their impact. Failure Mode and Effects Analysis (FMEA) can be used to quantify risk. This technique allows to determine the risk priority number (RPN), taking into account the number of detected defects (O), the consequences of the appearance of a defect (S) and the possibility of timely detection of a defect or cause before the onset of undesirable consequences (D). The priority number of risks numerically characterizes the risks of a defect and can be used as a criterion for determining priority defects. Based on the values of the priority number of risks, a Pareto chart can be built and defects that form 80% of the risk area can be identified. These defects require urgent corrective action. According to the data taken from production, it is shown that the Pareto analysis by the priority number of risks gives results that differ from the analysis by the number of identified inconsistencies. Application of the proposed approach will allow introducing risk-oriented methods into the procedures for carrying out corrective actions. This will make it possible to direct the resources of the enterprise to eliminate the causes of defects that are actually detected and can have the most significant consequences for consumers of products

scholarly journals Identification of Occupational Injury among the Workers of Selected Cement Industries in Bangladesh - A Case Study

1970 ◽  
pp. 22-28 ◽  
Author(s):  
Salma A Iqbal ◽  
Mohammed Iqbal ◽  
Md Zubair Taufiq ◽  
Md Shamim Ahmed
Keyword(s):  
Chemical Engineering ◽  
Occupational Injury ◽  
Weight Lifting ◽  
Cement Industry ◽  
Body Parts ◽  
Pareto Analysis ◽  
Injury Frequency ◽  
Bucket Elevator ◽  
Unskilled Workers

The paper deals with the identification of occupational injury among workers in selected cement industries of Bangladesh. In this regard, the case study was conducted to extract the overall scenario of the occupational injury. Injury data were collected by using questionnaires from the workers as well as supervisors of four cement industries. The data collected were analyzed in terms of different variables, such as body parts, agent of accident, experience, age, skill, and type of injury. Pareto analysis was then applied to find a pattern of occupational injury among the workers. The study disclosed that arm, leg, hand finger, Eye and head covered 82.81% of total i njury frequency, 76.56% of total injuries by welding, bucket elevator, belt conveyor and weight lifting, low experienced and high experienced workers have 84.38% of total injury frequency, age group of 21-25 and 51-55 have the maximum injury frequency, 78.13% injury occurred by highly skilled and unskilled workers and 79.1% of total injury is temporary disable type injury. The paper also provides specific suggestions followed by some action plans. Keywords injury; accident; workers; safety; cement industry; training. DOI: 10.3329/jce.v25i0.7236Journal of Chemical Engineering, IEB Vol. ChE. 25, No. 1, December 2010 pp.22-28

Prioritizing the Components of Online Environment to Assess Customer Experience

2021 ◽  
Vol 17 (2) ◽  
pp. 81-100
Author(s):  
Ruchi Jain Garg ◽  
Vandana ◽  
Vinod Kumar
Keyword(s):  
Strong Dependence ◽  
Customer Experience ◽  
Focused Attention ◽  
Online Environment ◽  
Interpretive Structural Modeling ◽  
Pareto Analysis ◽  
Time Distortion ◽  
Online Experience ◽  
The Impact ◽  
Control Challenge

The present study aims to identify and prioritize the components of customer experience in online environment. The study employs Pareto analysis and interpretive structural modeling (ISM) to accomplish above-mentioned objective. Firstly, 36 components have been derived from extensively reviewed literature, and out of them, 15 were finalized as vital few variables having 80% influence in creating customer experience in online environment. To assess the impact of these 15 components, one outcome component ‘Customer Experience (Flow)' has been added. So, an ISM technique is applied on a total of 16 components of customer experience in online environment. The aim of this technique is to highlight the interrelationships among the components and to prioritize them. Further, the findings are strengthened by using MICMAC analysis. Results revealed that time distortion, skill, focused attention, interactivity, playfulness, start web, and involvement are found to have weak dependence powers but with strong driving powers. However, control, challenge, arousal, telepresence, flow, positive affect, and exploratory behavior were found to possess weak driving power and strong dependence power. The results of the present study carry implications for academicians and marketers handling online experience of their customers.

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