Pub Date : 2014-01-01DOI: 10.5923/J.STATISTICS.20140405.03
R. Avuglah, K. A. Adu-Poku, E. Harris
Road traffic accident cases in Ghana are increasing at a fast rate and this has raised major concerns. The World Health Organization (WHO, 2001) report indicates that about 50 million people are injured on the roads and 1.2 million people are killed each year. This paper applies the Autoregressive Integrated Moving Average (ARIMA) time series model to study the trends and patterns of road traffic accident cases in Ghana as well as makes a five- year forecast. An Annual accident data from 1991 to 2011 was obtained from the National Road Safety Commission and the Building and Road Research Institute in Ghana. The results showed that road traffic accident cases are increasing in Ghana. Models were subsequently developed for accident cases and ARIMA (0,2,1) was identified as the best model. A Five- year forecast was made using the best model and it showed that road traffic accident cases would continue to increase in Ghana.
{"title":"Application of ARIMA Models to Road Traffic Accident Cases in Ghana","authors":"R. Avuglah, K. A. Adu-Poku, E. Harris","doi":"10.5923/J.STATISTICS.20140405.03","DOIUrl":"https://doi.org/10.5923/J.STATISTICS.20140405.03","url":null,"abstract":"Road traffic accident cases in Ghana are increasing at a fast rate and this has raised major concerns. The World Health Organization (WHO, 2001) report indicates that about 50 million people are injured on the roads and 1.2 million people are killed each year. This paper applies the Autoregressive Integrated Moving Average (ARIMA) time series model to study the trends and patterns of road traffic accident cases in Ghana as well as makes a five- year forecast. An Annual accident data from 1991 to 2011 was obtained from the National Road Safety Commission and the Building and Road Research Institute in Ghana. The results showed that road traffic accident cases are increasing in Ghana. Models were subsequently developed for accident cases and ARIMA (0,2,1) was identified as the best model. A Five- year forecast was made using the best model and it showed that road traffic accident cases would continue to increase in Ghana.","PeriodicalId":91518,"journal":{"name":"International journal of statistics and applications","volume":"58 1","pages":"233-239"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80234887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.5923/J.STATISTICS.20130305.02
D. C. D. Souza, S. L. M. R. Filho, A. L. C. D. Carvalho, N. Silva, S. Barcelos, A. Christoforo
The study of the structural components of an aircraft such as landing gear, wheel and triquilha are elements that undergo constant changes, depending on the project requirement and efforts. A mong these mechanisms stands the wheel, because it is the element that makes the connection between aircraft and ground. Designed to withstand small di splacements and strains without losing its characteristics, is an element in wh ich studies with software using the Fin ite Element Method are present and important to better design component. The development of an Aeronautical Design, since its inception, detailed design and construction is a major challenge to the designer by the intense comp lexity of aerodynamic factors and dimensional parameters, integrated to a large mu ltid isciplinary. The present study aimed to use topological optimization processes present in Ansys ® software coupled with genetic algorith ms and statistical methods, software ModeFrontier®, analyze and get an optimal fo rm for the wheels used in aircraft cargo to Aerodesign SA E co mpetit ions. Bound methods allo wed a reduction of 40% co mpared to previous projects and found that the structural parameter Lane Width is that present the most influence on the mechanical performance of the aircraft.
{"title":"Topological Optimization and Genetic Algorithms Used in a Wheel Project for a Drone","authors":"D. C. D. Souza, S. L. M. R. Filho, A. L. C. D. Carvalho, N. Silva, S. Barcelos, A. Christoforo","doi":"10.5923/J.STATISTICS.20130305.02","DOIUrl":"https://doi.org/10.5923/J.STATISTICS.20130305.02","url":null,"abstract":"The study of the structural components of an aircraft such as landing gear, wheel and triquilha are elements that undergo constant changes, depending on the project requirement and efforts. A mong these mechanisms stands the wheel, because it is the element that makes the connection between aircraft and ground. Designed to withstand small di splacements and strains without losing its characteristics, is an element in wh ich studies with software using the Fin ite Element Method are present and important to better design component. The development of an Aeronautical Design, since its inception, detailed design and construction is a major challenge to the designer by the intense comp lexity of aerodynamic factors and dimensional parameters, integrated to a large mu ltid isciplinary. The present study aimed to use topological optimization processes present in Ansys ® software coupled with genetic algorith ms and statistical methods, software ModeFrontier®, analyze and get an optimal fo rm for the wheels used in aircraft cargo to Aerodesign SA E co mpetit ions. Bound methods allo wed a reduction of 40% co mpared to previous projects and found that the structural parameter Lane Width is that present the most influence on the mechanical performance of the aircraft.","PeriodicalId":91518,"journal":{"name":"International journal of statistics and applications","volume":"78 1","pages":"155-161"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84028407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-06-01DOI: 10.5923/J.STATISTICS.20130303.04
D. Amorim, C. D. Souza, A. Luis, Sergio Luiz Moni, Ribeiro Filho, F. Lahr, A. Christoforo
This paper presents a study of aircraft configuration TKV2012 that is more optimized as possible in all aspects of stage length, questions and restrictions established by the SAE Co mpetit ion BRAZIL Aero Design 2012. The analytical method for estimation of the aircraft aerodynamic coefficients was performed using the linear appro ximation to the theory of Multhopp. Design of Experiments (DOE) was used integrated into the genetic algorith m through the interface ModeFRONTIER®, version 4.3, the company Esteco®. We used the algorithm and Planning SOBOL MOGA II, with about 28 input variables, given the requirements: project report (containing plants and forecast payload), oral presentation, maximu m loaded weight, high structural efficiency, "accuracy" Predict ion Weight Loaded (Accuracy Project) and bonuses. The primary outcome variab le was the total score, since the goal was to maximize their. The results allowed to identify and optimize the d imensional parameters of the aircraft, as well as signaling the main factors that influence the total score, helping to define the configuration of the aircraft 2012.
{"title":"Evaluation of Dimensional and Aerodynamic Parameters for an Aircraft Radio Controlled through Genetic Algorithms and Design of Experiments","authors":"D. Amorim, C. D. Souza, A. Luis, Sergio Luiz Moni, Ribeiro Filho, F. Lahr, A. Christoforo","doi":"10.5923/J.STATISTICS.20130303.04","DOIUrl":"https://doi.org/10.5923/J.STATISTICS.20130303.04","url":null,"abstract":"This paper presents a study of aircraft configuration TKV2012 that is more optimized as possible in all aspects of stage length, questions and restrictions established by the SAE Co mpetit ion BRAZIL Aero Design 2012. The analytical method for estimation of the aircraft aerodynamic coefficients was performed using the linear appro ximation to the theory of Multhopp. Design of Experiments (DOE) was used integrated into the genetic algorith m through the interface ModeFRONTIER®, version 4.3, the company Esteco®. We used the algorithm and Planning SOBOL MOGA II, with about 28 input variables, given the requirements: project report (containing plants and forecast payload), oral presentation, maximu m loaded weight, high structural efficiency, \"accuracy\" Predict ion Weight Loaded (Accuracy Project) and bonuses. The primary outcome variab le was the total score, since the goal was to maximize their. The results allowed to identify and optimize the d imensional parameters of the aircraft, as well as signaling the main factors that influence the total score, helping to define the configuration of the aircraft 2012.","PeriodicalId":91518,"journal":{"name":"International journal of statistics and applications","volume":"7 1","pages":"59-63"},"PeriodicalIF":0.0,"publicationDate":"2013-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79281681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-01-07DOI: 10.5923/J.STATISTICS.20120206.02
J. Subramani, G. Kumarapandiyan
In the past, a number of modified ratio estimators are suggested for estimation of the population mean of the study variable using Co-efficient of Variation, Co-efficient of Kurtosis, Co-efficient of Skewness, Population Correlation Coefficient, Median, Quartile and their linear combinations of the auxiliary variable. However no attempt is made to use the deciles, which are more generalized version of quartiles and Median. Hence an attempt is made in this paper to use the deciles in the modified ratio estimators for estimation of population mean of the study variable when the population deciles of the auxiliary variable are known. The biases and the mean squared errors of the proposed estimators are derived and are compared with that of existing modified ratio estimators for certain known populations. Further we have also derived the conditions for which the proposed estimators perform better than the existing modified ratio estimators. From the numerical study it is observed that the proposed modified ratio estimators perform better than the existing modified ratio estimators.
{"title":"A Class of Modified Ratio Estimators Using Deciles of an Auxiliary Variable","authors":"J. Subramani, G. Kumarapandiyan","doi":"10.5923/J.STATISTICS.20120206.02","DOIUrl":"https://doi.org/10.5923/J.STATISTICS.20120206.02","url":null,"abstract":"In the past, a number of modified ratio estimators are suggested for estimation of the population mean of the study variable using Co-efficient of Variation, Co-efficient of Kurtosis, Co-efficient of Skewness, Population Correlation Coefficient, Median, Quartile and their linear combinations of the auxiliary variable. However no attempt is made to use the deciles, which are more generalized version of quartiles and Median. Hence an attempt is made in this paper to use the deciles in the modified ratio estimators for estimation of population mean of the study variable when the population deciles of the auxiliary variable are known. The biases and the mean squared errors of the proposed estimators are derived and are compared with that of existing modified ratio estimators for certain known populations. Further we have also derived the conditions for which the proposed estimators perform better than the existing modified ratio estimators. From the numerical study it is observed that the proposed modified ratio estimators perform better than the existing modified ratio estimators.","PeriodicalId":91518,"journal":{"name":"International journal of statistics and applications","volume":"12 1","pages":"101-107"},"PeriodicalIF":0.0,"publicationDate":"2013-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73869555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-01-07DOI: 10.5923/J.STATISTICS.20120206.06
Fareha Asim, M. Mahmood
The single step fixation process for reactive printing and crease resistant finishing of cotton fabric with four potential factors namely; concentrations of dye and crease resistant, fixation method and temperature has been statistically analysed in this work. The optimum conditions of factors and levels of simultaneous fixation have been explored. A single step process for reactive printing and crease resistant finishing of cotton fabric is described. Evaluations of the process were made with respect to K/S, dry and wet crease recovery, tensile and tear strength, fastness to washing, light & rubbing, resistance to abrasion and pilling. An Econtrol fixation at a temperature of 145℃ was proved to be efficient for imparting single-step reactive print fixation and crease resistant finishing to cotton fabric.
{"title":"Multi Response Optimization of Simultaneous Fixation of Reactive Printing and Crease Resistant Finishing Using Desirability Function","authors":"Fareha Asim, M. Mahmood","doi":"10.5923/J.STATISTICS.20120206.06","DOIUrl":"https://doi.org/10.5923/J.STATISTICS.20120206.06","url":null,"abstract":"The single step fixation process for reactive printing and crease resistant finishing of cotton fabric with four potential factors namely; concentrations of dye and crease resistant, fixation method and temperature has been statistically analysed in this work. The optimum conditions of factors and levels of simultaneous fixation have been explored. A single step process for reactive printing and crease resistant finishing of cotton fabric is described. Evaluations of the process were made with respect to K/S, dry and wet crease recovery, tensile and tear strength, fastness to washing, light & rubbing, resistance to abrasion and pilling. An Econtrol fixation at a temperature of 145℃ was proved to be efficient for imparting single-step reactive print fixation and crease resistant finishing to cotton fabric.","PeriodicalId":91518,"journal":{"name":"International journal of statistics and applications","volume":"128 1","pages":"126-131"},"PeriodicalIF":0.0,"publicationDate":"2013-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80402428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-01-07DOI: 10.5923/J.STATISTICS.20120206.04
G. Sagar
This paper discusses the estimation of reliability measures of two unit system with identical components in the presence of chance Common Cause Shock (CCS) failures as well as human errors. The Maximum likelihood (M L) approach has been followed for the present model. The M L estimates of system reliability measures like reliability function(R(t)), mean time between failures (MTBF) were developed. The estimates were derived for both series and parallel systems. We also developed the confidence interval for the present study. The empirical evidence was developed by using Monte-Carlo simulation for selected values of the failure and repair rates to establish the validity and precision of the M L estimates of the above said reliability measures.
{"title":"Reliability Estimation and Confidence-interval for Two-unit System in the Presence of Common Cause Failures and Human Errors","authors":"G. Sagar","doi":"10.5923/J.STATISTICS.20120206.04","DOIUrl":"https://doi.org/10.5923/J.STATISTICS.20120206.04","url":null,"abstract":"This paper discusses the estimation of reliability measures of two unit system with identical components in the presence of chance Common Cause Shock (CCS) failures as well as human errors. The Maximum likelihood (M L) approach has been followed for the present model. The M L estimates of system reliability measures like reliability function(R(t)), mean time between failures (MTBF) were developed. The estimates were derived for both series and parallel systems. We also developed the confidence interval for the present study. The empirical evidence was developed by using Monte-Carlo simulation for selected values of the failure and repair rates to establish the validity and precision of the M L estimates of the above said reliability measures.","PeriodicalId":91518,"journal":{"name":"International journal of statistics and applications","volume":"2 1","pages":"114-119"},"PeriodicalIF":0.0,"publicationDate":"2013-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83676895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-01-07DOI: 10.5923/J.STATISTICS.20120206.05
S. Saxena, S. Zarrin, M. Kamal, Arif-ul-Islam
Accelerated testing is needed when testing even large sample sizes at use stress would yield few or no failures within a reasonable time. The step-stress accelerated life test is used to increase the stress levels at fixed times during the experiment. Th is paper deals with the problem of designing an optimu m step stress accelerated life test for Rayleigh distribution. The scale parameter of the distribution is assumed to be a log linear function of stress. The maximu m likelihood estimates of the parameters under consideration are obtained. Interval estimation that generates narrow intervals to the unknown parameters of the distribution with high probability is obtained. Optimizat ion criterion is also discussed and simu lation results are obtained to explain the techniques used in the paper.
{"title":"Optimum Step Stress Accelerated Life Testing For Rayleigh Distribution","authors":"S. Saxena, S. Zarrin, M. Kamal, Arif-ul-Islam","doi":"10.5923/J.STATISTICS.20120206.05","DOIUrl":"https://doi.org/10.5923/J.STATISTICS.20120206.05","url":null,"abstract":"Accelerated testing is needed when testing even large sample sizes at use stress would yield few or no failures within a reasonable time. The step-stress accelerated life test is used to increase the stress levels at fixed times during the experiment. Th is paper deals with the problem of designing an optimu m step stress accelerated life test for Rayleigh distribution. The scale parameter of the distribution is assumed to be a log linear function of stress. The maximu m likelihood estimates of the parameters under consideration are obtained. Interval estimation that generates narrow intervals to the unknown parameters of the distribution with high probability is obtained. Optimizat ion criterion is also discussed and simu lation results are obtained to explain the techniques used in the paper.","PeriodicalId":91518,"journal":{"name":"International journal of statistics and applications","volume":"3 1","pages":"120-125"},"PeriodicalIF":0.0,"publicationDate":"2013-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84694177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-01-07DOI: 10.5923/J.STATISTICS.20120206.03
R. Ogundeji, A. J. Adewara, T. Nurudeen
Bayesian methods provide more intuitive and meaningful inferences than likelihood-only based inferences. This is simply because Bayesian approach includes prior information as well as likelihood. In empirical Bayes (EB) methodology, we use data to help determine the prior through estimation of the so-called hyperparameters. In this paper, a Bayesian model called Beta-binomial conjugate model is employed using Bayesian sequential estimation method to estimate the proportion of different age groups attended to at the National Orthopaedic hospital, Igbobi, Nigeria. Over the years results show that the highest number of patients at the hospital is within the age group 15 to 44 years but with the smallest proportion of orthopaedic surgeries. Similarly, smallest the numbers of patients are among the age group less than one year and greater than 64 years but with highest proportion of orthopaedic surgeries. Also, overall EB proportion of patients admitted for orthopaedic surgeries in the hospital across the age groups increased steadily. Finally, the results of the comparative analysis of the sample and EB proportions show that the EB estimators are better estimators on the basis of efficiency and consistency.
{"title":"Bayesian Sequential Estimation of Proportion of Orthopaedic Surgery Among Different Age Groups: A Case Study of National Orthopaedic Hospital, Igbobi-Nigeria","authors":"R. Ogundeji, A. J. Adewara, T. Nurudeen","doi":"10.5923/J.STATISTICS.20120206.03","DOIUrl":"https://doi.org/10.5923/J.STATISTICS.20120206.03","url":null,"abstract":"Bayesian methods provide more intuitive and meaningful inferences than likelihood-only based inferences. This is simply because Bayesian approach includes prior information as well as likelihood. In empirical Bayes (EB) methodology, we use data to help determine the prior through estimation of the so-called hyperparameters. In this paper, a Bayesian model called Beta-binomial conjugate model is employed using Bayesian sequential estimation method to estimate the proportion of different age groups attended to at the National Orthopaedic hospital, Igbobi, Nigeria. Over the years results show that the highest number of patients at the hospital is within the age group 15 to 44 years but with the smallest proportion of orthopaedic surgeries. Similarly, smallest the numbers of patients are among the age group less than one year and greater than 64 years but with highest proportion of orthopaedic surgeries. Also, overall EB proportion of patients admitted for orthopaedic surgeries in the hospital across the age groups increased steadily. Finally, the results of the comparative analysis of the sample and EB proportions show that the EB estimators are better estimators on the basis of efficiency and consistency.","PeriodicalId":91518,"journal":{"name":"International journal of statistics and applications","volume":"30 1","pages":"108-113"},"PeriodicalIF":0.0,"publicationDate":"2013-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76320592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-01-07DOI: 10.5923/J.STATISTICS.20120206.01
J. Diah, J. Ahmad, Mazidah Mukri
Generally, the main idea of this paper is attempt to give some idea for the researchers with different fields who want to make their own model based on the multiple regression of data transformation model. There is always being problems for researchers who want to perform their significant statistic analysis with different type of model equation (e.g. by using exponential, square root and etc.). Consequently, by following the steps of statistical methodology that given in this paper, the researcher should be able to create the calibration and validation model for their research purposed. Hence, the model developed can be use with sensitivity analysis with the appropriate variables that had been selected. Finally the chart, concept or theory can be further developed based on final multiple regression of data transformation model.
{"title":"The Methodology on Statistical Analysis of Data Transformation for Model Development","authors":"J. Diah, J. Ahmad, Mazidah Mukri","doi":"10.5923/J.STATISTICS.20120206.01","DOIUrl":"https://doi.org/10.5923/J.STATISTICS.20120206.01","url":null,"abstract":"Generally, the main idea of this paper is attempt to give some idea for the researchers with different fields who want to make their own model based on the multiple regression of data transformation model. There is always being problems for researchers who want to perform their significant statistic analysis with different type of model equation (e.g. by using exponential, square root and etc.). Consequently, by following the steps of statistical methodology that given in this paper, the researcher should be able to create the calibration and validation model for their research purposed. Hence, the model developed can be use with sensitivity analysis with the appropriate variables that had been selected. Finally the chart, concept or theory can be further developed based on final multiple regression of data transformation model.","PeriodicalId":91518,"journal":{"name":"International journal of statistics and applications","volume":"35 1","pages":"94-100"},"PeriodicalIF":0.0,"publicationDate":"2013-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82237441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-12-01DOI: 10.5923/J.STATISTICS.20120205.06
J. Subramani, S. Balamurali
Statistical process control tools and techniques are widely used in assessing and monitoring manufacturing process. Effective imp lementation of statistical process control tools will improve the productivity and quality; reduce the wastage and improve the business together with various other benefits. Process capability indices are very well used to assess the performance of the production process. However the problem is to keep the produced items in the inventory until to take a decision on the acceptance of the lots based on the outcome of the process capability analysis. An attempt has been made in this paper to overcome such difficulties. As a result we have presented a simple method to assess the process capability indices on line itself, wh ich helps the process as well as the quality engineers to take an instant decision on the manufacturing process whether the process has to be allowed further or to be modified. The method is explained with the help of illustrations.
{"title":"On Line Computation of Process Capability Indices","authors":"J. Subramani, S. Balamurali","doi":"10.5923/J.STATISTICS.20120205.06","DOIUrl":"https://doi.org/10.5923/J.STATISTICS.20120205.06","url":null,"abstract":"Statistical process control tools and techniques are widely used in assessing and monitoring manufacturing process. Effective imp lementation of statistical process control tools will improve the productivity and quality; reduce the wastage and improve the business together with various other benefits. Process capability indices are very well used to assess the performance of the production process. However the problem is to keep the produced items in the inventory until to take a decision on the acceptance of the lots based on the outcome of the process capability analysis. An attempt has been made in this paper to overcome such difficulties. As a result we have presented a simple method to assess the process capability indices on line itself, wh ich helps the process as well as the quality engineers to take an instant decision on the manufacturing process whether the process has to be allowed further or to be modified. The method is explained with the help of illustrations.","PeriodicalId":91518,"journal":{"name":"International journal of statistics and applications","volume":"179 1","pages":"80-93"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77010110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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