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    Forecasting Airline Demand by Using Hybric Bayesian Method and Time Series

    , M.Sc. Thesis Sharif University of Technology Shokouhi Seta, Hamid Reza (Author) ; Refie, Majid (Supervisor)
    Abstract
    Using revenue management in any industry can increase the profit. In aviation industries, due to the huge number of requests and travels for each airline, a revenue management system can lead to a good profit for the airlines. The first step in revenue management system is predicting the demand.In this article two models are developed using time series techniques, based on the information taken from one of the Iranian airlines in Tehran-Mashhad fly route.The first model is developed using ARIMA and seasonal-ARIMA models and the second one is based on the demand and price history, price in the day of prediction and the ARIMA model. The second model which is a combination of price, prior price... 

    Approximate Transportation Network Reliability Measures for Solving Transportation Network Improvement Problem

    , M.Sc. Thesis Sharif University of Technology Iranitalab, Amirfarrokh (Author) ; Poorzahedy, Hossain (Supervisor)
    Abstract
    Long-term effects of natural disasters, like earthquakes, in many cases have been reported high on transportation networks. Disruption in this lifeline network's performance imposes high social and economic costs upon the society. Undoubtedly, retrofitting the structures of all network links (or constructing new links) are practically impossible and economically infeasible. One solution to this problem is finding a method for determining the network's important links, and retrofitting their structures. Based on this concept, an optimization problem of network performance improvement under these stochastic events is introduced. In this problem, a link importance index for network links is...