فهرست مقالات emran mohammadi


  • مقاله

    1 - Efficiency evaluating and improvement by using the network SBM-DEA model with undesirable output: A case study of Iranian airlines
    International Journal of Data Envelopment Analysis , شماره 4 , سال 7 , تابستان 2019
    Measuring and improving the efficiency of organizations, as one of the most important parts of the organization's performance evaluation and a tool to control it, is a contemplative issue in order to survive and advance in the area of competition. Transportation is also چکیده کامل
    Measuring and improving the efficiency of organizations, as one of the most important parts of the organization's performance evaluation and a tool to control it, is a contemplative issue in order to survive and advance in the area of competition. Transportation is also a key element in the growth and development of countries that creates an unbreakable link among the various sections of the economy. Therefore, evaluating and improving the efficiency of the transportation industry, especially air transportation, as a fast and expensive method, is of particular importance in today's world. The purpose of this article was to evaluate and improve the efficiency of Iranian airlines, that for this purpose, the Data Envelopment Analysis (DEA) Method, as the most popular method of evaluating efficiency, has been selected. In recent years, network envelopment data analysis models have been developed, taking into account various parts of the organization's activity in computing efficiency. Also, undesirable outputs have been considered as the reality of the outside world in these models. In this article, the Slack-Based Measure (SBM) model as one of the newest data envelopment analysis models has been considered that simultaneously sought to increase outputs and reduce inputs, in a network form and associated with undesirable output as the basis of efficiency computations. The efficiency of 14 Iranian airlines was evaluated using the mentioned model. پرونده مقاله

  • مقاله

    2 - A Genetic-DEA Approach to Reveal Property Rights Priorities
    International Journal of Data Envelopment Analysis , شماره 1 , سال 5 , زمستان 2017
    In this paper we have applied Genetic-DEA modelling to help decision makers improve national economic performance through enhancing intellectual property rights indices. We categorized countries applying a novel classification approach and applied genetic algorithm and چکیده کامل
    In this paper we have applied Genetic-DEA modelling to help decision makers improve national economic performance through enhancing intellectual property rights indices. We categorized countries applying a novel classification approach and applied genetic algorithm and data envelopment analysis for modelling the relativity of property rights behavior of nations to their economic productivity. We also present a new concept as the uncertainty factor for priority suggestions to have a confidence factor tailored for each specific country for priority recommendations. The results of our research indicate that rich countries shall let people easy access to loans and fight copyright piracy afterwards. Middle income countries have to first enhance the independency of their judicial system and thenceforth respect intellectual property rights. Subsequently, they need to enhance their political stability. Countries that pay few respects to property rights shall boost judicial independence as the first priority and then advance the protection of physical property rights. Poor countries are advised to enhance registering properties and then focus on the rule of law. پرونده مقاله