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International Journal of Quality Engineering and Technology最新文献

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Designing of CUSUM chart with transformed Rayleigh distributed data 转换后的瑞利分布数据的CUSUM图设计
International Journal of Quality Engineering and Technology Pub Date : 2016-01-01 DOI: 10.1504/IJQET.2016.081641
Dushyant Tyagi, B. Singh
{"title":"Designing of CUSUM chart with transformed Rayleigh distributed data","authors":"Dushyant Tyagi, B. Singh","doi":"10.1504/IJQET.2016.081641","DOIUrl":"https://doi.org/10.1504/IJQET.2016.081641","url":null,"abstract":"In this paper, the CUSUM chart has been proposed to monitor the small shift in production process when the quality characteristic follows Rayleigh distribution. To achieve approximate normality of the Rayleigh distributed data, Nelson transformation method is used. The efficiency of CUSUM chart in detecting small shift in the process as compared to traditional Shewhart chart is demonstrated through a simulated study. Parameters for proposed chart has been determined for varying true mean at fix 'in control mean' and 'in control ARL'. Table of k and h values are provided to assist quality control engineers for designing an optimal CUSUM chart to detect δσ shift.","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":"8 1","pages":"82"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJQET.2016.081641","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66692670","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}
引用次数: 0
Identifying factors for evaluating software project proposals 确定评估软件项目建议的因素
International Journal of Quality Engineering and Technology Pub Date : 2016-01-01 DOI: 10.1504/IJQET.2016.081615
F. Uzoka, B. Akinnuwesi, Oluwole Adegoke Nuga, A. F. Adekoya, Oluwadamilola Y. Egbekunle
{"title":"Identifying factors for evaluating software project proposals","authors":"F. Uzoka, B. Akinnuwesi, Oluwole Adegoke Nuga, A. F. Adekoya, Oluwadamilola Y. Egbekunle","doi":"10.1504/IJQET.2016.081615","DOIUrl":"https://doi.org/10.1504/IJQET.2016.081615","url":null,"abstract":"One vital aspect of software project management is the initial evaluation of project proposals. Many authors have proposed varying sets of criteria for information technology (IT) software project evaluation. There is the need to develop a common framework for evaluating software projects, based on a manageable set of criteria. In this paper, we identified 83 software project proposal evaluation variables from literature and direct interviews with project evaluators; 31 variables were extracted under ten constructs using exploratory factor analysis. Product characteristics, user characteristics and vendor experience were found to be very crucial in software project proposal evaluation. The parameters identified in this work could serve as a basis for the development of a software system for evaluating software project proposals.","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":"6 1","pages":"93"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJQET.2016.081615","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66692491","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}
引用次数: 6
Multivariate exponentially weighted moving sample covariance control chart for monitoring covariance matrix 多变量指数加权移动样本协方差控制图监测协方差矩阵
International Journal of Quality Engineering and Technology Pub Date : 2016-01-01 DOI: 10.1504/IJQET.2016.081627
S. A. Vaghefi, A. Amiri
{"title":"Multivariate exponentially weighted moving sample covariance control chart for monitoring covariance matrix","authors":"S. A. Vaghefi, A. Amiri","doi":"10.1504/IJQET.2016.081627","DOIUrl":"https://doi.org/10.1504/IJQET.2016.081627","url":null,"abstract":"In this paper, a control chart is proposed to detect changes in the covariance matrix of a multivariate normal process, when sample size is one. The proposed chart statistic is constructed based on the exponentially weighted form of sample covariance matrix given by individual observation over time. Distance between the values of variance and covariance components in this multivariate exponentially weighted moving sample covariance matrix and, the in-control corresponding elements of process variance-covariance matrix provides a basis for process variability monitoring. The statistical performance of the proposed method is evaluated through the use of a Monte Carlo simulation. The results show the superiority of the proposed control chart performance especially in the case of incremental changes in covariance matrix.","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":"6 1","pages":"20"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJQET.2016.081627","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66692557","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}
引用次数: 1
Decreasing the effect of measurement errors on detecting and diagnosing performance of MAX-EWMAMS control chart in Phase II 降低测量误差对二期MAX-EWMAMS控制图检测诊断性能的影响
International Journal of Quality Engineering and Technology Pub Date : 2016-01-01 DOI: 10.1504/IJQET.2016.081636
M. Maleki, F. Maleki, Adel Khati Dizabadi
{"title":"Decreasing the effect of measurement errors on detecting and diagnosing performance of MAX-EWMAMS control chart in Phase II","authors":"M. Maleki, F. Maleki, Adel Khati Dizabadi","doi":"10.1504/IJQET.2016.081636","DOIUrl":"https://doi.org/10.1504/IJQET.2016.081636","url":null,"abstract":"In recent years, the quality practitioners have concentrated on exploring the effect of measurement errors on the performance of control charts. To the best of our knowledge, the effect of measurement errors on simultaneous monitoring of the process mean and the process variability is neglected in the literature. In this paper, the effect of measurement errors on detecting and diagnosing performance of one of the most common simultaneous monitoring approaches in the literature is investigated. Two approaches namely multiple measurement approach as well as increasing sample size are suggested for compensating for the effect of measurement errors. The results of simulation study show that the measurement errors can adversely affect the detecting performance of maximum exponentially weighted moving average and mean squared deviation (MAX-EWMAMS) control chart while the effect of measurement errors on diagnosing performance of this control chart is negligible. The results also represent that both tasking multiple measurement on each sample point and increasing sample size can adequately compensate for the measurement errors effect.","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":"6 1","pages":"54"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJQET.2016.081636","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66692622","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}
引用次数: 1
Quality Insights: Impact of cognitive load on the manufacturing cost of quality 质量洞察:认知负荷对制造质量成本的影响
International Journal of Quality Engineering and Technology Pub Date : 2016-01-01 DOI: 10.1504/IJQET.2016.081647
S. Bommer, A. Badiru
{"title":"Quality Insights: Impact of cognitive load on the manufacturing cost of quality","authors":"S. Bommer, A. Badiru","doi":"10.1504/IJQET.2016.081647","DOIUrl":"https://doi.org/10.1504/IJQET.2016.081647","url":null,"abstract":"Quality is a multidimensional characteristic of a product. As such, the various factors that impinge on quality must be taken into account when designing new products or managing the production of an existing product. The cost of quality is a tangible and noticeable testament to the upfront investments that an organisation has committed to a product. The cost of achieving and sustaining an acceptable level of product quality must, therefore, be recognised as the cornerstone of manufacturing operations. Of the many factors of importance in the pursuit of better product quality, cognitive loading is the one that is most often ignored or not recognised. In this paper, we present a methodology of assessing the impact of cognitive loading on the manufacturing cost of quality.","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":"6 1","pages":"115"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJQET.2016.081647","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66692683","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}
引用次数: 0
Quality Insights: Measurement and quality rationing: an analytical approach 质量洞察:测量和质量配给:一种分析方法
International Journal of Quality Engineering and Technology Pub Date : 2015-09-11 DOI: 10.1504/ijqet.2015.071657
A. Badiru, Anna E. Maloney
{"title":"Quality Insights: Measurement and quality rationing: an analytical approach","authors":"A. Badiru, Anna E. Maloney","doi":"10.1504/ijqet.2015.071657","DOIUrl":"https://doi.org/10.1504/ijqet.2015.071657","url":null,"abstract":"Measurement is as important in quality management as it is in many aspects of human endeavours. Take, for example, a business that is attempting to formulate a yearly budget. This business cannot create a budget out of thin air; it must use qualitative and quantitative assessments based on interpretations and equations. The exact methods businesses use to formulate their budgets may vary, but they should all include statistical analysis in order to achieve accuracy and precision. Budget management and quality management are analogous with respect to the application of analytical techniques to make decisions. This paper capitalises on that relationship to apply budget allocation and rationing techniques to quality. This paper presents an analytical approach to measurement and quality rationing in order to meet quality goals. Quality on a scale of measurement is the premise of this paper.","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijqet.2015.071657","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66692778","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}
引用次数: 0
Evaluating multi-objective economic-statistical design of attribute C control charts for monitoring the number of non-conformities 评价属性C控制图的多目标经济统计设计，以监测不合格数量
International Journal of Quality Engineering and Technology Pub Date : 2015-09-11 DOI: 10.1504/ijqet.2015.071653
A. Amiri, samrad Jafarian-Namin
{"title":"Evaluating multi-objective economic-statistical design of attribute C control charts for monitoring the number of non-conformities","authors":"A. Amiri, samrad Jafarian-Namin","doi":"10.1504/ijqet.2015.071653","DOIUrl":"https://doi.org/10.1504/ijqet.2015.071653","url":null,"abstract":"The C control chart is mostly used to monitor the number of non-conformities per inspection unit of constant size. It is known that the classic C-chart control limits often experience a high false alarm rate and thus lead to the increase of unnecessary costs of inspection. Among many works performed to improve C-charts, this paper presents the optimised control limits approach to the C-chart. In addition, different C-charts are evaluated through factors related to the design of the control chart. Optimally selecting design parameters depends on several process parameters from statistical and/or economic aspects in the literature. This study presents multi-objective economic-statistical design of different C control charts under single assignable cause. An algorithm using the data envelopment analysis (DEA) is employed to solve the models. A numerical example is used to illustrate the algorithm procedure and to evaluate the performances of different designs.","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijqet.2015.071653","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66692026","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}
引用次数: 5
Monitoring Allan variance nonlinear profile using artificial neural network approach 用人工神经网络方法监测Allan方差非线性轮廓
International Journal of Quality Engineering and Technology Pub Date : 2015-09-11 DOI: 10.1504/IJQET.2015.071656
Karim Atashgar, A. Amiri, Mahdi Keramatee Nejad
{"title":"Monitoring Allan variance nonlinear profile using artificial neural network approach","authors":"Karim Atashgar, A. Amiri, Mahdi Keramatee Nejad","doi":"10.1504/IJQET.2015.071656","DOIUrl":"https://doi.org/10.1504/IJQET.2015.071656","url":null,"abstract":"Profile monitoring is effectively used in a case where the response variable is measured along with the corresponding value of an explanatory variable(s). Profile monitoring allows quality engineers to monitor performance of a process statistically considering a functional relationship at a given time. Although several papers can be found in the literature approached nonlinear profile monitoring, to the best of the authors' knowledge, there is not any researches in monitoring Allan variance nonlinear profile approaching artificial neural network (ANN). ANN capabilities help quality engineers to monitor complex nonlinear profiles in real cases effectively. In this paper an ANN model is proposed to monitor the nonlinear profile of Allan variance. Allan variance is a measure of stability of tools such as oscillator and amplifier. The proposed ANN model not only is capable to identify an out-of-control condition, but also the model is capable to diagnose the parameter(s) responsible to the out-of-control condition. A numerical example is considered to evaluate the performance of the proposed ANN when the process experiences different shift sizes. The evaluation of the performance is investigated using average run length (ARL) and correct classification criteria.","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJQET.2015.071656","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66692040","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}
引用次数: 8
Enabling comprehensive failure analysis of complex physical system using cognitive map-based approach 利用基于认知地图的方法实现复杂物理系统的综合故障分析
International Journal of Quality Engineering and Technology Pub Date : 2015-09-11 DOI: 10.1504/IJQET.2015.071652
Shah M. Limon, O. Yadav, Bimal P. Nepal, L. Monplaisir
{"title":"Enabling comprehensive failure analysis of complex physical system using cognitive map-based approach","authors":"Shah M. Limon, O. Yadav, Bimal P. Nepal, L. Monplaisir","doi":"10.1504/IJQET.2015.071652","DOIUrl":"https://doi.org/10.1504/IJQET.2015.071652","url":null,"abstract":"The rapid evolution in technology is leading to complex engineering systems confounding the problems of failure analysis processes. Earlier efforts have concentrated on failure analysis of components but have proven insufficient for analysing the complex physical systems. In this paper, a cognitive map-based approach suggested by Augustine et al. (2012) for system interaction failure analysis is further improved to develop populated network structure considering structural variation. The numerical values to causal arcs are assigned considering qualitative linguistic variables to represent causal relationship between two nodes. The structural variability in cognitive maps due to input from experts or sources is addressed by effectively combining the cognitive map diagrams (networks) and related information received from several sources into single network diagram. A combined adjacency matrix is developed considering credibility weight assigned to each experts. The proposed approach is capable of capturing system interaction failures as well as component failures, which is useful at the early stage of design. A relatively complex physical engineering system of fuel injection is presented as an example to demonstrate the effectiveness of the proposed approach.","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":"5 1","pages":"114-144"},"PeriodicalIF":0.0,"publicationDate":"2015-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJQET.2015.071652","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66692477","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}
引用次数: 0
Phase II monitoring of polynomial and nonlinear profiles using a p-value approach 使用p值方法监测多项式和非线性剖面的第二阶段
International Journal of Quality Engineering and Technology Pub Date : 2015-09-11 DOI: 10.1504/IJQET.2015.071651
Azadeh Adibi, C. Borror, D. Montgomery
{"title":"Phase II monitoring of polynomial and nonlinear profiles using a p-value approach","authors":"Azadeh Adibi, C. Borror, D. Montgomery","doi":"10.1504/IJQET.2015.071651","DOIUrl":"https://doi.org/10.1504/IJQET.2015.071651","url":null,"abstract":"In this study, a p-value-based method for monitoring polynomial and nonlinear profiles in Phase II process monitoring is proposed. Performance of the proposed method is evaluated using the average run length criterion under different shifts in the model parameters. In this approach, the p-values are calculated for all subgroups within a sample. If any p-value is less than a prespecified threshold, the chart signals out of control. The main advantage of the proposed method is its ease of implementation in practice. Moreover, in this method, only one control chart is needed for routine monitoring of the model parameters. Only if an out-of-control signal is observed, then individual monitoring of the regression model parameters is needed. Performance of the proposed approach is compared to the T² method. Results of a simulation study on the proposed p-value approach are provided.","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":"5 1","pages":"101-113"},"PeriodicalIF":0.0,"publicationDate":"2015-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJQET.2015.071651","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66692466","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}
引用次数: 3
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