Pub Date : 1998-03-01DOI: 10.1108/13598539810196886
N. Tamimi
The quality management literature prescribes various critical quality improvement strategies. However, there have been few empirical studies that tested for the synergy or the relationships among these critical quality constructs. This study develops a second‐order factor model to test whether a set of critical quality management factors load on an overall construct that may be termed “Total quality management”. Using survey data collected from 173 manufacturing and service firms, the LISREL VII computer program is used to estimate and validate the proposed model. The results provide an initial empirical evidence of the importance of implementing the quality management strategies holistically rather than piecemeal.
{"title":"A second‐order factor analysis of critical TQM factors","authors":"N. Tamimi","doi":"10.1108/13598539810196886","DOIUrl":"https://doi.org/10.1108/13598539810196886","url":null,"abstract":"The quality management literature prescribes various critical quality improvement strategies. However, there have been few empirical studies that tested for the synergy or the relationships among these critical quality constructs. This study develops a second‐order factor model to test whether a set of critical quality management factors load on an overall construct that may be termed “Total quality management”. Using survey data collected from 173 manufacturing and service firms, the LISREL VII computer program is used to estimate and validate the proposed model. The results provide an initial empirical evidence of the importance of implementing the quality management strategies holistically rather than piecemeal.","PeriodicalId":376191,"journal":{"name":"International Journal of Quality Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1998-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127786623","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 : 1997-12-01DOI: 10.1108/13598539710192593
D. Samson
States that, although there has been considerable progress with the implementation of total quality management in Australia and New Zealand over the past 15 years since it was pioneered in the manufacturing sector, there is still not a widespread acceptance and implementation of it. As a result, while the best companies in these countries are achieving high levels of competitiveness, the bulk of companies are still reporting mediocre performance in critically important areas such as customer satisfaction. Details how some of Australia and New Zealand’s leading companies have implemented quality improvement initiatives. Reports on a large survey of companies showing that on average, self‐reported measures of employee morale, customer satisfaction and the extent of dissemination of customer requirements throughout a workforce are particular areas for improvement.
{"title":"Progress in total quality management: evidence from Australasia","authors":"D. Samson","doi":"10.1108/13598539710192593","DOIUrl":"https://doi.org/10.1108/13598539710192593","url":null,"abstract":"States that, although there has been considerable progress with the implementation of total quality management in Australia and New Zealand over the past 15 years since it was pioneered in the manufacturing sector, there is still not a widespread acceptance and implementation of it. As a result, while the best companies in these countries are achieving high levels of competitiveness, the bulk of companies are still reporting mediocre performance in critically important areas such as customer satisfaction. Details how some of Australia and New Zealand’s leading companies have implemented quality improvement initiatives. Reports on a large survey of companies showing that on average, self‐reported measures of employee morale, customer satisfaction and the extent of dissemination of customer requirements throughout a workforce are particular areas for improvement.","PeriodicalId":376191,"journal":{"name":"International Journal of Quality Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1997-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124027788","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 : 1997-12-01DOI: 10.1108/13598539710192610
M. Vonderembse, T. Raghunathan
Posits that advocates of quality function deployment (QFD) claim that it leads to better product designs, lower product costs, and shorter development times. Presents a study which aims to learn if organizations that apply QFD to product development achieve these benefits. Data from a survey of 80 QFD projects undertaken by 40 firms are used to examine these critical relationships. When leaders from these project teams were asked to compare results from product development efforts without QFD to results with QFD, they claimed that product designs and customer satisfaction improved significantly with QFD. Product costs and time‐to‐market showed only modest improvements. Benefits in time and costs may increase as QFD teams get better training and more experience. Describes the development and costing of a model of QFD implementation issues, product development outcomes, and customer satisfaction. Concludes that QFD’s implementation issues, specifically the organizational dimensions, have a significant impact on product design outcomes and resource consumption.
{"title":"Quality function deployment’s impact on product development","authors":"M. Vonderembse, T. Raghunathan","doi":"10.1108/13598539710192610","DOIUrl":"https://doi.org/10.1108/13598539710192610","url":null,"abstract":"Posits that advocates of quality function deployment (QFD) claim that it leads to better product designs, lower product costs, and shorter development times. Presents a study which aims to learn if organizations that apply QFD to product development achieve these benefits. Data from a survey of 80 QFD projects undertaken by 40 firms are used to examine these critical relationships. When leaders from these project teams were asked to compare results from product development efforts without QFD to results with QFD, they claimed that product designs and customer satisfaction improved significantly with QFD. Product costs and time‐to‐market showed only modest improvements. Benefits in time and costs may increase as QFD teams get better training and more experience. Describes the development and costing of a model of QFD implementation issues, product development outcomes, and customer satisfaction. Concludes that QFD’s implementation issues, specifically the organizational dimensions, have a significant impact on product design outcomes and resource consumption.","PeriodicalId":376191,"journal":{"name":"International Journal of Quality Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1997-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121683298","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 : 1997-12-01DOI: 10.1108/13598539710192601
A. Wiele, B. Dale, A.R.T. Williams
Discusses the key actions which need to be taken by an organization if they wish to progress from ISO 9001 or ISO 9002 registration to a quality award prize winners status. There is a large gap between the ISO 9001 requirements and the European Foundation of Quality Management (EFQM) Model of Business Excellence or other award models. However, organizations wishing to develop to total quality management (TQM) from their ISO 9000 series registration would benefit from studying the award models. This would provide them with the necessary knowledge and understanding of what is involved in a process of continuous improvement. Recommends that having gained this insight that they use one of the traditional and well‐recognized methods to introduce the basics of TQM, before using self‐assessment methods in earnest. Also recommends this approach for those organizations whose development of TQM is immature. In this way self‐assessment would be employed to best advantage.
{"title":"ISO 9000 series registration to total quality management: the transformation journey","authors":"A. Wiele, B. Dale, A.R.T. Williams","doi":"10.1108/13598539710192601","DOIUrl":"https://doi.org/10.1108/13598539710192601","url":null,"abstract":"Discusses the key actions which need to be taken by an organization if they wish to progress from ISO 9001 or ISO 9002 registration to a quality award prize winners status. There is a large gap between the ISO 9001 requirements and the European Foundation of Quality Management (EFQM) Model of Business Excellence or other award models. However, organizations wishing to develop to total quality management (TQM) from their ISO 9000 series registration would benefit from studying the award models. This would provide them with the necessary knowledge and understanding of what is involved in a process of continuous improvement. Recommends that having gained this insight that they use one of the traditional and well‐recognized methods to introduce the basics of TQM, before using self‐assessment methods in earnest. Also recommends this approach for those organizations whose development of TQM is immature. In this way self‐assessment would be employed to best advantage.","PeriodicalId":376191,"journal":{"name":"International Journal of Quality Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1997-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124165623","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 : 1997-12-01DOI: 10.1108/13598539710192629
C. Madu
Explores the importance of quality management in achieving global competitiveness. Emphasizes the need for developing countries to revitalize their economies through quality management practice. Uses Deming principles of quality management and dialectical materialism inquiry system to demonstrate how the practice of quality can help developing countries to improve their national economies and, therefore, compete effectively in international markets.
{"title":"Quality management in developing economies","authors":"C. Madu","doi":"10.1108/13598539710192629","DOIUrl":"https://doi.org/10.1108/13598539710192629","url":null,"abstract":"Explores the importance of quality management in achieving global competitiveness. Emphasizes the need for developing countries to revitalize their economies through quality management practice. Uses Deming principles of quality management and dialectical materialism inquiry system to demonstrate how the practice of quality can help developing countries to improve their national economies and, therefore, compete effectively in international markets.","PeriodicalId":376191,"journal":{"name":"International Journal of Quality Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1997-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116994974","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 : 1997-09-01DOI: 10.1108/13598539710170803
J. Masounave, Youssef A. Youssef, Y. Beauchamp, M. Thomas
Investigates the effects of the most influential cutting parameters (cutting speed, feed rate, depth of cut, tool nose radius, tool length and work piece length) on surface roughness quality and on the formation of built‐up edge in a lathe dry turning process of mild carbon steel samples. A full factorial design (384 experiments), taking into account the three‐level interactions between the independent variables has been conducted. The results show that the following three‐level interactions: feed rate × cutting speed × depth of cut, feed rate × cutting speed × tool nose radius and tool nose radius × depth of cut × tool length have significant effects on surface roughness in this type of machining operation. Shows that the analysis of main effects alone and even two‐level interactions could lead to a false interpretation of the results. The analysis of variance revealed that the best surface roughness is achieved with a low feed rate, a large tool nose radius and a high cutting speed. The results also show that the depth of cut has no significant effect on surface roughness when operating at cutting speeds higher than 160m/min. Furthermore, it is shown that built‐up edge formation deteriorates surface roughness when machining mild carbon steel at specific feed rate, tool nose radius and cutting speed levels. Proposes a new model for evaluating the limiting cutting speed to avoid the built‐up edge formation. Finally, shows through experimentation that an increase in depth of cut would lead to improved surface roughness when tool vibration is increased.
{"title":"An experimental design for surface roughness and built‐up edge formation in lathe dry turning","authors":"J. Masounave, Youssef A. Youssef, Y. Beauchamp, M. Thomas","doi":"10.1108/13598539710170803","DOIUrl":"https://doi.org/10.1108/13598539710170803","url":null,"abstract":"Investigates the effects of the most influential cutting parameters (cutting speed, feed rate, depth of cut, tool nose radius, tool length and work piece length) on surface roughness quality and on the formation of built‐up edge in a lathe dry turning process of mild carbon steel samples. A full factorial design (384 experiments), taking into account the three‐level interactions between the independent variables has been conducted. The results show that the following three‐level interactions: feed rate × cutting speed × depth of cut, feed rate × cutting speed × tool nose radius and tool nose radius × depth of cut × tool length have significant effects on surface roughness in this type of machining operation. Shows that the analysis of main effects alone and even two‐level interactions could lead to a false interpretation of the results. The analysis of variance revealed that the best surface roughness is achieved with a low feed rate, a large tool nose radius and a high cutting speed. The results also show that the depth of cut has no significant effect on surface roughness when operating at cutting speeds higher than 160m/min. Furthermore, it is shown that built‐up edge formation deteriorates surface roughness when machining mild carbon steel at specific feed rate, tool nose radius and cutting speed levels. Proposes a new model for evaluating the limiting cutting speed to avoid the built‐up edge formation. Finally, shows through experimentation that an increase in depth of cut would lead to improved surface roughness when tool vibration is increased.","PeriodicalId":376191,"journal":{"name":"International Journal of Quality Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1997-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131525262","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 : 1997-06-01DOI: 10.1108/13598539710167104
C. Kuei, C. Madu, Chinho Lin, M. Lu
Assesses the relationship between quality management practices and organizational climate. This study uses two well‐developed instruments to assess the relationship. A total of 386 questionnaires were mailed to managers drawn from a list of Taiwan’s top 500 manufacturing corporations. A total of 86 middle line managers returned the questionnaires for this study. Discriminant analysis was used to examine the relationship between quality management practices and organizational climate. The result indicates that high quality‐tendency groups perceive a loose organizational structure, while medium quality‐tendency groups perceive a more bureaucratic organizational structure. Regarding people orientation, finds that medium quality‐tendency groups tend to emphasize that more, followed by high quality‐tendency groups and then low quality‐tendency groups. Also identifies the organizational climate indicators that separate high, medium, and low quality‐tendency organizations.
{"title":"An empirical investigation of the association between quality management practices and organizational climate","authors":"C. Kuei, C. Madu, Chinho Lin, M. Lu","doi":"10.1108/13598539710167104","DOIUrl":"https://doi.org/10.1108/13598539710167104","url":null,"abstract":"Assesses the relationship between quality management practices and organizational climate. This study uses two well‐developed instruments to assess the relationship. A total of 386 questionnaires were mailed to managers drawn from a list of Taiwan’s top 500 manufacturing corporations. A total of 86 middle line managers returned the questionnaires for this study. Discriminant analysis was used to examine the relationship between quality management practices and organizational climate. The result indicates that high quality‐tendency groups perceive a loose organizational structure, while medium quality‐tendency groups perceive a more bureaucratic organizational structure. Regarding people orientation, finds that medium quality‐tendency groups tend to emphasize that more, followed by high quality‐tendency groups and then low quality‐tendency groups. Also identifies the organizational climate indicators that separate high, medium, and low quality‐tendency organizations.","PeriodicalId":376191,"journal":{"name":"International Journal of Quality Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1997-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125598756","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 : 1997-06-01DOI: 10.1108/13598539710167087
Kerry D. Melton, J. English, G. Taylor
Suggests that there is justification for the use of a new methodology for process diagnosis which is simple to understand and realistic to implement. The control of quality of a process typically requires that multiple process variables be monitored simultaneously. Due to the multi‐dimensionality of the data collected, process diagnosis is complex and the data often are not efficiently integrated to capitalize on the wealth of available information. A two‐phased diagnostic approach for process diagnosis and identification of suspect causes for this multi‐dimensional problem is introduced in Krishnamurthi et al. (1993). Provides an in‐depth analysis of phase two of the statistical process control (SPC) diagnostic approach. Specifically, simulation is used to generate different cause and effect scenarios to determine the effectiveness of the SPC approach in correctly diagnosing a process disorder. The analysis utilizes analysis of variance to estimate the effect of various process variables, process steps, and associated out‐of‐control conditions on the performance of the SPC approach and its ability to diagnose correctly an out‐of‐control condition. As a result of these findings, the critical means are plotted and the findings are presented. Additionally, a comparison between the SPC approach and parsimonious covering theory (PCT) is made. Concludes that for the process scenarios considered, which are of practical size, the more simple approach of the SPC diagnostic approach is recommended.
{"title":"A statistical process control approach to process diagnosis in discrete manufacturing environments","authors":"Kerry D. Melton, J. English, G. Taylor","doi":"10.1108/13598539710167087","DOIUrl":"https://doi.org/10.1108/13598539710167087","url":null,"abstract":"Suggests that there is justification for the use of a new methodology for process diagnosis which is simple to understand and realistic to implement. The control of quality of a process typically requires that multiple process variables be monitored simultaneously. Due to the multi‐dimensionality of the data collected, process diagnosis is complex and the data often are not efficiently integrated to capitalize on the wealth of available information. A two‐phased diagnostic approach for process diagnosis and identification of suspect causes for this multi‐dimensional problem is introduced in Krishnamurthi et al. (1993). Provides an in‐depth analysis of phase two of the statistical process control (SPC) diagnostic approach. Specifically, simulation is used to generate different cause and effect scenarios to determine the effectiveness of the SPC approach in correctly diagnosing a process disorder. The analysis utilizes analysis of variance to estimate the effect of various process variables, process steps, and associated out‐of‐control conditions on the performance of the SPC approach and its ability to diagnose correctly an out‐of‐control condition. As a result of these findings, the critical means are plotted and the findings are presented. Additionally, a comparison between the SPC approach and parsimonious covering theory (PCT) is made. Concludes that for the process scenarios considered, which are of practical size, the more simple approach of the SPC diagnostic approach is recommended.","PeriodicalId":376191,"journal":{"name":"International Journal of Quality Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1997-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134208497","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 : 1997-06-01DOI: 10.1108/13598539710167078
M. Perry
Examines the Baldrige criteria and their use in New Zealand. Government development agencies and private industry groups have recently promoted models of best practice in business organization and strategy. Across these initiatives there is a remarkable unanimity in the version of best practice being advocated, reflecting the influence of the Baldrige Award criteria. Contrasts the types of workplace reorganization advocated in the Baldrige criteria with sociotechnical systems, German diversified quality production, flexible specialization. Argues that each of these systems offers a route to best practice in its related market and business environment. Discusses the limits of reducing workplace change to a single one of these options and managerial action alone. Presents evidence of the value of industry co‐ordinated change, including contrasting case studies from the meat and dairy processing sectors.
{"title":"The Baldrige quality competition in New Zealand: a critical assessment","authors":"M. Perry","doi":"10.1108/13598539710167078","DOIUrl":"https://doi.org/10.1108/13598539710167078","url":null,"abstract":"Examines the Baldrige criteria and their use in New Zealand. Government development agencies and private industry groups have recently promoted models of best practice in business organization and strategy. Across these initiatives there is a remarkable unanimity in the version of best practice being advocated, reflecting the influence of the Baldrige Award criteria. Contrasts the types of workplace reorganization advocated in the Baldrige criteria with sociotechnical systems, German diversified quality production, flexible specialization. Argues that each of these systems offers a route to best practice in its related market and business environment. Discusses the limits of reducing workplace change to a single one of these options and managerial action alone. Presents evidence of the value of industry co‐ordinated change, including contrasting case studies from the meat and dairy processing sectors.","PeriodicalId":376191,"journal":{"name":"International Journal of Quality Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1997-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123858632","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 : 1997-06-01DOI: 10.1108/13598539710167096
Chih-Chou Chiu, C. Su, Gong‐Shung Yang, Jeng-Sheng Huang, S. Chen, N. Cheng
Describes how a statistical Taguchi approach and a backpropagation neural network model were devised to evaluate the effect of various parameters and identify the optimal parameter setup values in a gas‐assisted injection moulding process. In applying the Taguchi approach, an L18 orthogonal array was employed to collect the observations, and the same collected data sets, with two additional inputs, were utilized to construct a neural network model to ascertain whether utilizing such a neural network would provide an improved generalization capability over a statistical method. The effect of the learning rate and the number of hidden nodes on the efficiency of the neural network learning algorithm was extensively studied to identify what provides the best forecasting of performance measure. In addition, to verify the generalization capability of the neural model, eight different parameter setups, which had not been included in the full factorial design, were constructed for network testing. The results rev...
{"title":"Selection of optimal parameters in gas‐assisted injection moulding using a neural network model and the Taguchi method","authors":"Chih-Chou Chiu, C. Su, Gong‐Shung Yang, Jeng-Sheng Huang, S. Chen, N. Cheng","doi":"10.1108/13598539710167096","DOIUrl":"https://doi.org/10.1108/13598539710167096","url":null,"abstract":"Describes how a statistical Taguchi approach and a backpropagation neural network model were devised to evaluate the effect of various parameters and identify the optimal parameter setup values in a gas‐assisted injection moulding process. In applying the Taguchi approach, an L18 orthogonal array was employed to collect the observations, and the same collected data sets, with two additional inputs, were utilized to construct a neural network model to ascertain whether utilizing such a neural network would provide an improved generalization capability over a statistical method. The effect of the learning rate and the number of hidden nodes on the efficiency of the neural network learning algorithm was extensively studied to identify what provides the best forecasting of performance measure. In addition, to verify the generalization capability of the neural model, eight different parameter setups, which had not been included in the full factorial design, were constructed for network testing. The results rev...","PeriodicalId":376191,"journal":{"name":"International Journal of Quality Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1997-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114834104","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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