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Airlines brands are getting new identities in the electronic age. Because of growing new technologies like internet, there will be new strategic opportunities for airline companies to position their brand. On the other hand, Religious Tourism's Industry has a sustainable market in Iran, because of cultural issues. A lot of passengers prefer to do their religious travels with an airline company. Religious tourism, with its cultural nature provides airlines with strategic opportunities. E-Brand can play an important role in this regard. In this paper we review some these opportunities and challenges. This paper is a descriptive comparative that wrote by investigating a variety of books and papers. The results show if an airline company likes to survive in the changing world, it should change its brand identity toward an E-Brand. [ABSTRACT FROM AUTHOR]

Due to the competition among companies, evaluating the performance is one of the most important issues for managers. Data Envelopment Analysis (DEA) - Range Adjusted Measure model (RAM) is one of the non-radial models to evaluate the performance of companies. This paper presents a fully fuzzy network DEA-RAM model for evaluating airlines and extends the network DEA-RAM model in the fully fuzzy framework. First, a network structure is designed for airlines and then, a DEA-RAM model is presented for calculating efficiency scores. To handle uncertainty in data, fully fuzzy approach is considered and finally, a multi-objective network model is proposed to calculate airlines' efficiencies. To solve the proposed fully fuzzy DEA-RAM model, the lexicographic approach is used and the efficiency scores are reported as interval numbers. To illustrate the capability of the proposed fully fuzzy DEA-RAM model, the actual data of 14 Iranian airlines are gathered and the interval efficiencies of airlines are evaluated. Image 1 • The paper presents a network DEA-RAM developed as a novel fully fuzzy multi-objective model. • All inputs and outputs as well as the efficiency scores are considered as fuzzy numbers. • The proposed fully fuzzy network DEA-RAM model is applied to evaluate airlines in Iran. [ABSTRACT FROM AUTHOR]

Hub location problem is further used in transportation and telecommunication networks (airlines, post delivery services, etc.) so origin-destination pairs, receive or send commodities via special facilities called Hub. Hub median problem with multiple allocation is an NP-hard problem which includes both locating hub facilities and allocating non-hub nodes to hubs as minimizes total transportation and location costs. In this paper, the hub median problem is considered in an environment which network flow varies during the time periods and the capacities of hubs and arcs are unlimited. Also opening and closing hubs in different periods of planning horizon are permitted. The model and the proposed algorithm for this problem were considered to Iran airlines network using real passenger flows data. Computational results state that the dynamic network compared with static model has lower cost and whatever the number of time periods in dynamic case increases, the cost will be reduced as well. [ABSTRACT FROM AUTHOR]