Optimization and Analysis of Raw Material Supply Chain Based on Computational Intelligence

Abstract

With the rapid economic growth and increasingly fierce market competition, the traditional manufacturing advantages have become a thing of the past. There are problems such as inaccurate procurement plans, large quantities of inventory sold out, chaotic procurement processes, and unclear inventory policies. Optimizing the procurement of basic raw materials will help reduce raw material costs. This paper analyzes some raw material supply chain processes through the Delphi method, Plato principle, and trend-adjusted exponential smoothing method and finds that the important factors for improving raw material supply include economic and technological environment, the realization of purchasing department functions, price stability, technical level, system management awareness, product qualification rate, quality inspection and testing, and problem handling timeliness. Financial situation, procurement efficiency, and cooperation compatibility are important factors for improving the supply of raw materials. By using key indicators to select strategic suppliers and computational intelligence to obtain the forecast value of raw material supply, the forecast error rate is within 9%, indicating that the forecast data are reliable and can be used as an auxiliary tool for raw material supply, thereby reducing risks. Under the corresponding conditions, the waste of raw materials can be reduced and the raw materials can be stored more reasonably. Using the Delphi method, Plato principle, and trend adjustment exponential smoothing method to analyze part of the raw material supply chain process brings benefits to the enterprise and finally achieves the standardization of the procurement process, the optimization of supplier groups, the sharing of procurement information, the supervision of procurement process, the reduction of purchasing costs, improvement of procurement intelligence, division of labor and performance assessment, and achievement of a win-win situation with suppliers.