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The conventional approaches to temporary storage problem tend to be less effective in dealing with the imprecise or vagueness nature of the linguistic assessment. Under many situations, the values of qualitative criteria are often imprecisely defined for the decision makers. The aim of the paper is to solve temporary storage problems using MODM. In this paper, we use an applicable solution for selecting a temporary storage location among potential candidatesÂ¿ locations. There are two main steps in this study; first, locations are considered as alternatives which their weights are calculated by using fuzzy TOPSIS with considering flexible attributes. Then, in second steps, three objectives are defined as; 1) Maximizing alternatives weights summations; 2) minimizing alternatives distances summations to production departments; and 3) minimizing the quantity of temporary storage. Furthermore, quantitative and qualitative attributes are considered in this paper simultaneously. The proposed MODM is solved by using a goal programming (GP) approach. Empirical results show that the proposed method is viable approach in solving a temporary storage problem.