Optimizing Raw Materials Procurement Planning by Fuzzy Programming with Recourse

Raw materials procurement is very important to most companies, optimizing raw materials procurement planning can reduce a large number of total operating costs, so it is very important to study raw materials procurement planning. Based on credibility theory, this paper reports on the application of fuzzy programming with recourse to strategic planning regarding raw materials procurement problem. To solve the two-stage fuzzy programming problem, a hybrid algorithm which combines approximation approach (AA), neural network (NN) and particle swarm optimization (PSO), is designed. We provide a numerical example to illustrate the feasibility and effectiveness of the designed algorithm.