A STUDY ON MULTI STAGE MULTIOBJECTIVE TRANSPORTATION PROBLEM UNDER UNCERTAINTY ENVIRONMENT USING MAMDANI FUZZY INFERENCE SYSTEM

In present scenario due to high competition in market, there are lots of pressures on organizations involbs with transportation industry, to provide the service in a better and effective manner. The distribution of products among the customers in systematic manner is not an easy task. Transportation models provide an effective framework to meet these challenges. In an uncertainty environment, it is a too difficult to handle a multi-objective transportation problem with fixed parameters, rather it is easy to consider all related factors in terms of linguistic parameters. Different objectives of a multi-objective transportation problem are affected by multiple numbers of criteria like route of transportation, weather condition, vehicles used for transportation etc.