Portfolio Optimization of Material Purchasing Considering Supply Risk

In order to better cope with the problem of material procurement, this paper establishes a multi-objective optimization model in a systematic analysis framework for material procurement considering supply risk. This paper firstly combs and identifies the influencing factors of supply risk, and constructs a supply risk evaluation system from the dimensions of quality, price, delivery, service and technology. Secondly, based on the linguistic scale and fuzzy theory, this paper measures the supply risk of the candidate suppliers, and estimates the relevant parameters of the multi-objective optimization model by using the triangular fuzzy numbers. In addition, traditional intelligent algorithms are easily falling into a local optimal solution when solving programming problems. Through numerical simulation experiments, it is verified that the optimization model established in this paper can effectively simulate the operation of the enterprise in actual business. At the same time, the proposed model is feasible and useful for the selection of candidate suppliers and the portfolio optimization of material procurement.