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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Advances in Industrial Engineering
- نوع مقاله: Journal Article
- کلمات کلیدی: TOPSIS,Flexible manufacturing systems,Linear assignment method,Multi-criteria Decision-making
- چکیده:
- چکیده انگلیسی: This paper introduces a new method for incorporating the performance of alternatives into their ultimate ranking in a linear assignment method. This method is one of multi-criteria decision-making methods, in which the weight of criteria is incorporated in ranking the alternatives, and the distance between the performances of alternatives do not affect in ranking the alternatives. In order to modify the linear assignment method with the aim of incorporating the distance between the performances of the alternatives, some intervals are defined first, and each alternative is primarily ranked based on the interval that belongs to. In the ultimate ranking of the alternatives, the interval to which each alternative belongs to will be considered as the ranking criterion. Hence, not only the weight of the criteria, but also the distances between the performances of the alternatives has affected the ranking. The results of the modified method are compared to the TOPSIS method, as one of the most popular multi-criteria decision-making methods, and the outcome shows a better consistency between the modified model and TOPSIS.
- انتشار مقاله: 13-02-1394
- نویسندگان: Mohammad Ali Keramati,Mohammad Ehsanifar,Zahra Rezaei
- مشاهده
- جایگاه : پژوهشی
- مجله: Advances in Mathematical Finance and Application
- نوع مقاله: Journal Article
- کلمات کلیدی: Artificial Neural Network,Network data envelopment analysis,Dynamic network data envelopment analysis,Efficiency estimating,Bank
- چکیده:
- چکیده انگلیسی: Network data envelopment analysis models assess efficiency of decision-making unit and its sections using historical data but fail to measure efficiency of its units and their internal stages in the future. In this paper we aim to measure efficiency of stages of bank branches and obtain efficiency trend of stages during the time, then to estimate their efficiency in the future therefore we can be aware of stages inefficiency before occurrence and prevent them. First, a two-stage structure including deposit collection and loan giving was designed for bank branches using literature review and comments of experts. Human forces and fixed assets were considered as input variables of the first stage, deposit as mediator variable, delayed claims as interim variable, and loan amount as output variable of the second stage. Then, a dynamic network data envelopment analysis model was formulated and stages efficiency were obtained for 16 consecutive periods. Therefore, efficiency trend of stages was obtained during the time. In the following, efficiency of various stages of branches were estimated using artificial neural network and some recommendations are provided according to obtained amounts in order to prevent inefficiency before occurrence.
- انتشار مقاله: 05-12-1397
- نویسندگان: Javad Niknafs,Mohammad Ali Keramati,Jalal Haghighatmonfared
- مشاهده