Interactive Fuzzy Programming Model for Optimization of Extended Hub-and-spoke Regional Transportation Networks

In order to optimize extended hub-and-spoke regional transportation network,interactive fuzzy programming model was introduced.The imprecise natures of the input data or the parameters,such as demand,transportation capacity,unit transportation cost(time) and unit cargo handling cost(time) were considerd in the proposed model which aimed at jointly minimizing the total costs including the transportation cost and the handling cost as well as the total transit times consisting of transportation time and handling time.Meanwhile,the following factors including the transportation route choice among spots or stations,the transportation quantities via a hub port from an original port to a destination port,the transportation quantities directly from an original port to a destination port,were optimized.The solution procedure to the proposed model was then presented.Based on it,the effective solution of the model which was verified by numerical example was proposed.Results show that the model and its solution process are effective.