Uncertain Programming Model for Location Problem of Multi-product Logistics Distribution Centers

This paper mainly investigates the location problem of multi-product logistics distribution centers in uncertain environment. Based on the assumption that the customers’ demands and the transportation times are uncertain variables, an uncertain programming model is constructed. On the precondition of satisfying the capacity constraint and time window constraint, the objective of the model is to minimize the mean yearly total cost which includes construction cost, management cost, inventory cost and transportation cost. At last, a numerical example is given to verify the feasibility of the proposed model, and Lingo software is employed to find the optimal solution.