Seyedeh Ladan Fadaei Foroutan; Shahrooz Bamdad
Abstract
Railways are considered the efficient transport system that provides the possibility of transportation through a rail network. Railway stations are the major part of the rail transport system and evaluating its performance is of particular importance, since various activities such as passenger transport, ...
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Railways are considered the efficient transport system that provides the possibility of transportation through a rail network. Railway stations are the major part of the rail transport system and evaluating its performance is of particular importance, since various activities such as passenger transport, and welfare and commercial services are provided in this part of the system. In this research, the efficiency of Iranian railway stations in 19 zones is measured by data envelopment analysis (DEA), and the efficient centers and reference units for inefficient centers have been identified by analyzing the efficiency of stations. Railway stations are analyzed using an output-oriented slack-based measure (SBM) model with a constant returns to scale. The performance of station was evaluated by the input index of total station area, number of platforms, number of staff, number of available seats, total cost of station, output index of number of passengers transported, number of trains stopped, and total revenue of the station. The ranking results showed that Tehran, Mashhad, Shahroud, Zanjan, Qom, and Kerman stations had the highest level of efficiency. Finally, for inefficient stations, the surplus values of inputs and slack values of outputs were provided to improve the efficiency.
Naser Ghasemi; Esmaeil Najafi; Farhad Hosseinzadeh Lotfi; Farzad Movahedi Sobhani
Abstract
Most organizations and companies have hierarchical structures, and appropriate models are required to measure the efficiency of this kind of network systems. Data envelopment analysis (DEA) is a well-known method introduced for measuring the relative efficiency of a set of decision-making units (DMUs) ...
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Most organizations and companies have hierarchical structures, and appropriate models are required to measure the efficiency of this kind of network systems. Data envelopment analysis (DEA) is a well-known method introduced for measuring the relative efficiency of a set of decision-making units (DMUs) that use multiple inputs to produce multiple outputs. Conventional DEA models usually generate misleading results while evaluating the performance of network systems. The present study aims at developing suitable models for measuring the efficiency of hierarchical structures using the centralized and non-cooperative leader-follower game models. In the proposed method, the divisional efficiencies (within an organization) and the overall efficiency of the organization are calculated. The proposed models are applied to assess the performance of 20 schools in Iran. The results of the two proposed models show that none of the schools are efficient, suggesting that these schools do not optimally utilize their resources. The application of the results of the proposed models enables managers to identify inefficient sub-units and develop strategies to improve their performance.