Duties and performance of academic advisors from the view of students of Tabriz School of Nursing and Midwifery in 2010

Introduction: Support , advice and guidance of students during of study are one of the most important responsibilities of universities. They are responsible to solve students' problem about this matter. Thus, this study has been designed to determine the students' view about of the Duties and Performance of Academic advisors. Methods: This study which is a descriptive- analytical study. Is performed on 250 nursing and midwifery and operation room students selected using by census method. In order to analysis of finding, Questionnaire has been used to determine the students' view of the duties and performance of academic advisors. SPSS 1 7 software and descriptive - inferential statistic has been used to analysis of finding. Results : The findings showed that, more than half of students were agree with academic advisors duties. From students' view "offering advice in terms of job and education" and "assessing the current academic status of students" were as main tasks of academic advisors. "Advisor' consult with other experts about the current problems" and the "introduction of relevant units to meet the needs of students" were the weakest cases of performance of academic advisors. And performance of academic advisors was good in students’ view about 31.6 percent. Conclusion: In this study views of students are well suited to the tasks of academic advisors. This issue indicated that, there is an appropriate potential to promote students consulting. According to the results on the performance of academic advisors need to make fundamental changes in the process of Supervisors is academic counselin

An integrated fuzzy algorithm approach to factory floor design incorporating environmental quality and health impact

This paper presents an integrated algorithm based on fuzzy simulation, fuzzy linear programming (FLP), and fuzzy data envelopment analysis (FDEA) to cope with a special case of workshop facility layout design problem with ambiguous environmental and health indicators. First a software package is used for generating feasible layout alternatives and then quantitative performance indicators are calculated. Weights are estimated by LP for pairwise comparisons (by linguistic terms) in evaluating certain qualitative performance indicators. Fuzzy simulation is then employed for modeling different layout alternatives with uncertain parameters. Next, the impacts of environment and health indicators are retrieved from a standard questionnaire. Finally, FDEA is used for ranking the alternatives and consequently finding the optimal layout design alternatives. A possibilistic programming approach is used to modify the fuzzy DEA model to an equivalent crisp one. Moreover, fuzzy principal component analysis method is used to validate the results of FDEA model at various α-cut levels by Spearman correlation experiment. This is the first study that presents an integrated algorithm for optimization of facility layout with environmental and health indicators