Pub Date : 2022-01-01DOI: 10.1504/ijqet.2022.10048202
A. Salmasnia, Maryam Kaveie
{"title":"Joint optimisation of production run length and maintenance policy for an imperfect process with multiple correlated quality characteristics","authors":"A. Salmasnia, Maryam Kaveie","doi":"10.1504/ijqet.2022.10048202","DOIUrl":"https://doi.org/10.1504/ijqet.2022.10048202","url":null,"abstract":"","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66693038","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 : 2022-01-01DOI: 10.1504/ijqet.2022.123500
A. Badiru
{"title":"Quality insight: quality integration using engineering systems methodology","authors":"A. Badiru","doi":"10.1504/ijqet.2022.123500","DOIUrl":"https://doi.org/10.1504/ijqet.2022.123500","url":null,"abstract":"","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66693130","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 : 2022-01-01DOI: 10.1504/ijqet.2022.10048211
R. Jain, A.R. Singh, Pramod Kinker, V. Swarnakar
{"title":"A fuzzy Kano-QFD approach for prioritising NBA quality parameters for service quality enhancement: a case of Indian PEIs","authors":"R. Jain, A.R. Singh, Pramod Kinker, V. Swarnakar","doi":"10.1504/ijqet.2022.10048211","DOIUrl":"https://doi.org/10.1504/ijqet.2022.10048211","url":null,"abstract":"","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66693115","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 : 2021-07-27DOI: 10.1504/ijqet.2021.10039908
V. B. Bokov
For the exploratory runs of steepest ascent the use of response predictions is proposed. The factors for these runs are estimated on the data of initial experiment and by finding conditional extremum. Parameter estimates are employed to obtain estimated response functions on which the response of exploratory runs is predicted. Response prediction intervals for these runs are found by using the parameter estimates of linear models, factor estimates for exploratory runs, and linear models for response predictions. This allows to identify those response observations that go beyond the bounds of response prediction intervals and to find factor values under which exploratory run response at hand is still in its prediction interval. The comparison of two linear models reveals that the model with coded factors and response variables allows to obtain the smaller intervals of response predictions. This permits to identify more accurately the last run of steepest ascent and factor levels for design centre of the next initial experiment.
{"title":"Steepest ascent improvement by response predictions implementation","authors":"V. B. Bokov","doi":"10.1504/ijqet.2021.10039908","DOIUrl":"https://doi.org/10.1504/ijqet.2021.10039908","url":null,"abstract":"For the exploratory runs of steepest ascent the use of response predictions is proposed. The factors for these runs are estimated on the data of initial experiment and by finding conditional extremum. Parameter estimates are employed to obtain estimated response functions on which the response of exploratory runs is predicted. Response prediction intervals for these runs are found by using the parameter estimates of linear models, factor estimates for exploratory runs, and linear models for response predictions. This allows to identify those response observations that go beyond the bounds of response prediction intervals and to find factor values under which exploratory run response at hand is still in its prediction interval. The comparison of two linear models reveals that the model with coded factors and response variables allows to obtain the smaller intervals of response predictions. This permits to identify more accurately the last run of steepest ascent and factor levels for design centre of the next initial experiment.","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43535061","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 : 2021-07-27DOI: 10.1504/ijqet.2021.10039909
M. Kovářík, Petr Briš
Chemical processes as well as many non-industrial processes exhibit autocorrelation, for which the above-mentioned control procedures are not suitable. This paper considers the problem of monitoring a process in which the observations can be represented as a first-order autoregressive model following a heavy tailed distribution. It also presents practical usage of time series control charts on the chemical process of monitoring concentrations. The second part discusses the effect of autocorrelation on the process capability analysis when the observations are made by an autoregressive model of the first order. The process capability indices provide a measure of how a process fits within the specification limits. When calculating indices, it is usual to assume that the process data are independent. The simulation study in this part discusses the effect of a higher autocorrelation order on process capability indices.
{"title":"The effect of autocorrelation on control charts performance and process capability indices calculation","authors":"M. Kovářík, Petr Briš","doi":"10.1504/ijqet.2021.10039909","DOIUrl":"https://doi.org/10.1504/ijqet.2021.10039909","url":null,"abstract":"Chemical processes as well as many non-industrial processes exhibit autocorrelation, for which the above-mentioned control procedures are not suitable. This paper considers the problem of monitoring a process in which the observations can be represented as a first-order autoregressive model following a heavy tailed distribution. It also presents practical usage of time series control charts on the chemical process of monitoring concentrations. The second part discusses the effect of autocorrelation on the process capability analysis when the observations are made by an autoregressive model of the first order. The process capability indices provide a measure of how a process fits within the specification limits. When calculating indices, it is usual to assume that the process data are independent. The simulation study in this part discusses the effect of a higher autocorrelation order on process capability indices.","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43860318","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 : 2021-07-27DOI: 10.1504/ijqet.2021.10039910
A. Salmasnia, Maryam Baratian, M. Ghazanfari, Hossein Fallah-Ghadi
An appropriate warranty period plays an essential role in consumer satisfaction and manufacturer costs. Manufacturer and consumer are two critical parts of any transaction; therefore, inattention to each of them causes dissatisfaction and financial loss. Therefore, this research proposes a model to determine an optimal two-dimensional warranty period to minimise both manufacturer's warranty servicing cost and consumer's post-warranty cost. Furthermore, to reduce the frequency of product failures, a preventive maintenance program is implemented during the warranty and post-warranty periods, respectively, by the manufacturer and the consumer. Finally, two comparisons are made to show the model effectiveness. The first one shows the superiority of the joint minimisation of the manufacturer's warranty cost and the consumer's post-warranty cost over the single minimisation. The second one shows that a proper preventive maintenance program can effectively reduce the costs of both the manufacturer and the consumer.
{"title":"Optimisation of two-dimensional warranty region under preventive maintenance over product lifetime by considering both manufacture and consumer's point of views","authors":"A. Salmasnia, Maryam Baratian, M. Ghazanfari, Hossein Fallah-Ghadi","doi":"10.1504/ijqet.2021.10039910","DOIUrl":"https://doi.org/10.1504/ijqet.2021.10039910","url":null,"abstract":"An appropriate warranty period plays an essential role in consumer satisfaction and manufacturer costs. Manufacturer and consumer are two critical parts of any transaction; therefore, inattention to each of them causes dissatisfaction and financial loss. Therefore, this research proposes a model to determine an optimal two-dimensional warranty period to minimise both manufacturer's warranty servicing cost and consumer's post-warranty cost. Furthermore, to reduce the frequency of product failures, a preventive maintenance program is implemented during the warranty and post-warranty periods, respectively, by the manufacturer and the consumer. Finally, two comparisons are made to show the model effectiveness. The first one shows the superiority of the joint minimisation of the manufacturer's warranty cost and the consumer's post-warranty cost over the single minimisation. The second one shows that a proper preventive maintenance program can effectively reduce the costs of both the manufacturer and the consumer.","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48069196","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 : 2021-07-27DOI: 10.1504/ijqet.2021.116757
K. G. Khadse, R. L. Shinde
Multivariate process capability indices (MPCIs) MCp, MCpk and MCpm have been proposed in literature to measure multivariate process capability. From a practitioner's view, the intention of this paper is to propose a new probability-based MPCI MSpmk which takes into account process variability, departure of the process mean from target and proportion of conformity when assessing multivariate process performance. The MSpmk is the extension in multivariate setup of univariate process capability index Spmk. The Spmk is smooth version of widely used univariate process capability index Cpmk. The MSpmk is very easy to compute and combines the merits of MPCIs MCp, MCpk and MCpm. Proposed MPCI assumes that production process is multivariate normal and specification region is rectangular. Proposed MPCI is recommendable with respect to its performance in various scenarios and its natural estimator statistical properties for real world usage.
{"title":"A new probability-based multivariate process capability index","authors":"K. G. Khadse, R. L. Shinde","doi":"10.1504/ijqet.2021.116757","DOIUrl":"https://doi.org/10.1504/ijqet.2021.116757","url":null,"abstract":"Multivariate process capability indices (MPCIs) MCp, MCpk and MCpm have been proposed in literature to measure multivariate process capability. From a practitioner's view, the intention of this paper is to propose a new probability-based MPCI MSpmk which takes into account process variability, departure of the process mean from target and proportion of conformity when assessing multivariate process performance. The MSpmk is the extension in multivariate setup of univariate process capability index Spmk. The Spmk is smooth version of widely used univariate process capability index Cpmk. The MSpmk is very easy to compute and combines the merits of MPCIs MCp, MCpk and MCpm. Proposed MPCI assumes that production process is multivariate normal and specification region is rectangular. Proposed MPCI is recommendable with respect to its performance in various scenarios and its natural estimator statistical properties for real world usage.","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42332385","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 : 2021-07-27DOI: 10.1504/ijqet.2021.116755
Khalid Alkhaledi, D. Dalalah
Different viscometer techniques are used to measure the viscosity; however, the repeatability and reproducibility of these measurement systems have not been investigated. Literature suggests that viscometers exhibit measurement variations that can be categorised into variations due to the process, the gage, and the operators. To explore the sources of variations in viscometers, a Six-Sigma gage repeatability and reproducibility (GR&R) study is conducted. GR&R studies utilise two-way ANOVA to separate measurement variation into different components to find the precision-to-tolerance, signal-to-noise ratios and the true process capability index. A software is built to demonstrate the newly introduced measurement assessment chart that pinpoints the suggested but necessary corrective actions. The results of a real industrial data show that rotational viscometers are more reliable than orifice viscometers, however, with moderate capability due to their modest signal-to-noise ratio. The model, assessment chart and the software can be used to assess other gages.
{"title":"Measurement system analysis of viscosity: a Six-Sigma gage repeatability and reproducibility analysis","authors":"Khalid Alkhaledi, D. Dalalah","doi":"10.1504/ijqet.2021.116755","DOIUrl":"https://doi.org/10.1504/ijqet.2021.116755","url":null,"abstract":"Different viscometer techniques are used to measure the viscosity; however, the repeatability and reproducibility of these measurement systems have not been investigated. Literature suggests that viscometers exhibit measurement variations that can be categorised into variations due to the process, the gage, and the operators. To explore the sources of variations in viscometers, a Six-Sigma gage repeatability and reproducibility (GR&R) study is conducted. GR&R studies utilise two-way ANOVA to separate measurement variation into different components to find the precision-to-tolerance, signal-to-noise ratios and the true process capability index. A software is built to demonstrate the newly introduced measurement assessment chart that pinpoints the suggested but necessary corrective actions. The results of a real industrial data show that rotational viscometers are more reliable than orifice viscometers, however, with moderate capability due to their modest signal-to-noise ratio. The model, assessment chart and the software can be used to assess other gages.","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48567615","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 : 2021-03-16DOI: 10.1504/IJQET.2021.10036431
Mahdi Ghasempour, R. Gholamnia, M. Jabbari, R. Saeedi
The reliability and effectiveness of safety systems in the isomerisation unit of Isfahan refinery complex were evaluated. The methodology consisted of two parts: 1) identification of hazardous scenarios, protection layers, and safety integrity level (SIL); 2) verification of SIL of the system using fault tree analysis (FTA). Out of the 22 identified hazardous scenarios, four scenarios had SIL 1, 17 scenarios had SIL 2, and 1 scenario had SIL 3. The scenario related to stop the outflow of fluid from the pumps with the consequent increase in reaction intensity, rise in temperature, and ultimately the reactor explosion had the most critical points of the production process and SIL 3. In all the scenarios, SIL of the system was in accordance with the required SIL (Target SIL). The results indicated that the intrinsic safe design and use of up-to-date equipment with high reliability led to an acceptable level of risk.
{"title":"Reliability assessment and verification of safety instrumented systems with the application of LOPA and FTA in the isomerisation unit of the Isfahan Oil Refinery","authors":"Mahdi Ghasempour, R. Gholamnia, M. Jabbari, R. Saeedi","doi":"10.1504/IJQET.2021.10036431","DOIUrl":"https://doi.org/10.1504/IJQET.2021.10036431","url":null,"abstract":"The reliability and effectiveness of safety systems in the isomerisation unit of Isfahan refinery complex were evaluated. The methodology consisted of two parts: 1) identification of hazardous scenarios, protection layers, and safety integrity level (SIL); 2) verification of SIL of the system using fault tree analysis (FTA). Out of the 22 identified hazardous scenarios, four scenarios had SIL 1, 17 scenarios had SIL 2, and 1 scenario had SIL 3. The scenario related to stop the outflow of fluid from the pumps with the consequent increase in reaction intensity, rise in temperature, and ultimately the reactor explosion had the most critical points of the production process and SIL 3. In all the scenarios, SIL of the system was in accordance with the required SIL (Target SIL). The results indicated that the intrinsic safe design and use of up-to-date equipment with high reliability led to an acceptable level of risk.","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66693411","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 : 2021-03-16DOI: 10.1504/IJQET.2021.10036435
M. Hadini, M. Ali, S. Rifai, Otmane Bouksour, A. Adri
The purpose of this article is to present a statistical approach using latent and manifest variables applied to measure the quality management system performance of a multinational energy company located in Casablanca, Kingdom of Morocco. The principal idea is to measure the impact of quality practices (which are divided into five segments: leadership, strategy and policy, human resources, partnerships and resources, and process management) on the total performance (which is divided into four perspectives: customer result perspective, financial result perspective, staff result perspective, society result perspective). For this, we use the SEM's resolution based on the partial least squares (PLS) method via the XL-STAT software on a sample of 120 questionnaires administered face-to-face with managers, technicians, engineers and directors of this company. The obtained results should be examined in order to plan the improvements and develop an action plan.
{"title":"Proposal of a causal model to measure the impact of quality management system on industrial performance: a case study of a multinational energy company located in Casablanca, Kingdom of Morocco","authors":"M. Hadini, M. Ali, S. Rifai, Otmane Bouksour, A. Adri","doi":"10.1504/IJQET.2021.10036435","DOIUrl":"https://doi.org/10.1504/IJQET.2021.10036435","url":null,"abstract":"The purpose of this article is to present a statistical approach using latent and manifest variables applied to measure the quality management system performance of a multinational energy company located in Casablanca, Kingdom of Morocco. The principal idea is to measure the impact of quality practices (which are divided into five segments: leadership, strategy and policy, human resources, partnerships and resources, and process management) on the total performance (which is divided into four perspectives: customer result perspective, financial result perspective, staff result perspective, society result perspective). For this, we use the SEM's resolution based on the partial least squares (PLS) method via the XL-STAT software on a sample of 120 questionnaires administered face-to-face with managers, technicians, engineers and directors of this company. The obtained results should be examined in order to plan the improvements and develop an action plan.","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43059951","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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