Abstract
Abstract In most of the transportation related decision making situations, the decision maker face difficulty in case of unbalanced supply–demand units, in particular when total number of supply units is less than total number of required units. Due to shortage of availability of products, it is not possible for the decision maker to fully specify the requirement of various requirement points, with the existing available amount. In these situations, multiple objectives are considered to handle the situation. The objectives, of a multi-objective model are in general conflicting in nature. The traditional transportation approaches are not able to address the problem but goal programming approach is a well suited approach to such transportation models. In this present study, fuzzy goal programming approach is presented for an unbalanced transportation model with multiple number of objectives, in which all supply and demand quantities are specified imprecisely. We have investigated the results by implementing this method to an unbalanced transportation problem with multiple numbers of equally important fuzzy goals. To illustrate the approach, a numerical example is considered and the result is discussed.
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