Does the provision of full day care improve the quality of life for children and their parents

This study sought to explore and examine if the provision of full day care improves the quality of life for children and their parents. Owing to the effects of the Celtic Tiger, life in Ireland has changed considerably over the past five to ten years. Because of the booming economy there are now 60.8% of women employed in the workforce. This means many changes for children, parents and families. Findings in the literature review are based on international studies. The researcher utilised both qualitative and quantitative research methodologies for the study. She interviewed 31 respondents; 27 childcare managers; 3 politicians and the chairperson of a childcare committee. Furthermore, 325 questionnaires were completed in a survey by working parents in the statutory and voluntary sectors in and around Sligo town and in two childcare facilities in Letterkenny, Co. Donegal. Babies as young as 4 months are being cared for in childcare facilities from 6.45am until 6.pm daily, 5 days per week. Some children are spending up to 11 hours per day in childcare facilities. The study has not categorically concluded that full day care is either positive or negative for children. Childcare facilities are providing good quality childcare encompassing various services; however, 25 out of 27 childcare managers reported to the researcher that they would not leave their child in full day care. Parents are finding it difficult to manage work life balance. Health dominated quality of life issues. Two hundred and thirty five (235) parents reported being stressed. The study also found that 315 working parents feel that the government is not doing enough to support working parents. On a positive note, 241 parents said they are happy in general with the quality of life for them, their family and their children. In addition, the researcher has identified a number of recommendations for future changes in policy and further study.

Application of multivariate statistical process control to fuel cell manufacturing

Univariate statistical control charts, such as the Shewhart chart, do not satisfy the requirements for process monitoring on a high volume automated fuel cell manufacturing line. This is because of the number of variables that require monitoring. The risk of elevated false alarms, due to the nature of the process being high volume, can present problems if univariate methods are used. Multivariate statistical methods are discussed as an alternative for process monitoring and control. The research presented is conducted on a manufacturing line which evaluates the performance of a fuel cell. It has three stages of production assembly that contribute to the final end product performance. The product performance is assessed by power and energy measurements, taken at various time points throughout the discharge testing of the fuel cell. The literature review performed on these multivariate techniques are evaluated using individual and batch observations. Modern techniques using multivariate control charts on Hotellings T2 are compared to other multivariate methods, such as Principal Components Analysis (PCA). The latter, PCA, was identified as the most suitable method. Control charts such as, scores, T2 and DModX charts, are constructed from the PCA model. Diagnostic procedures, using Contribution plots, for out of control points that are detected using these control charts, are also discussed. These plots enable the investigator to perform root cause analysis. Multivariate batch techniques are compared to individual observations typically seen on continuous processes. Recommendations, for the introduction of multivariate techniques that would be appropriate for most high volume processes, are also covered.