Ranking of Leagility Factors Based on Job Satisfaction through a Combinatory Model of Fuzzy TOPSIS and AHP (Case Study: M.R.I Hospital, Shiraz, Iran)

摘要

style="text-align:justify;"> The main purpose of this study is to identify and rank leagility factors based on job satisfaction in the M.R.I Hospital, Shiraz, Iran. From the purpose point of view, this research is an applied research. In this research two methods of fuzzy tops are the Analytical Hierarchy Process (AHP) to compute the inconsistency rate, and rank the job satisfaction criteria AHP is employed; afterwards the fuzzy TOPSIS is used to rank the lean-agile criterions. In all the committed pairwise comparisons the consistency rate has scored less than 0.1 and ranking has been carried out. Results obtained from this research indicate ranking of the criteria, and also reveal the importance of the organizational factors with the most weight (0.686), and then the environmental factors with a weight of 0.126 and finally factors associated with nature of work with a weight of 0.098. Moreover result of fuzzy TOPSIS demonstrates that, having the highest closeness coefficient, providing high quality services has the highest priority among the criteria. The importance of other criteria is as follows: on time services, competency, responsiveness, flexibility, speed, and waste reduction. It can be a benchmarking for researches and decision makers to apply the results of this research.