摘要：Supply chain management has become a critical problem for any company looking to meet targets in terms of economic competitiveness, time, and quality of service especially in an economic context marked by the globalization of trade and the speed of industrial cycles. Selecting the right suppliers and establishing proper ordering and shipping systems are important to reduce unnecessary resource loss and improve the core competitiveness of enterprises. However, most scenarios for supplier selection, order allocation, and transportation solution selection remain largely unknown, particularly in the context of big data. To overcome this problem, this study presents a two-level supply chain network. The ranking and selection of suppliers are achieved by constructing a supplier importance measurement index system and establishing an evaluation model with principal component analysis, while combining the greed idea to establish constraint equations for multiple indicators, order allocation to selected suppliers, and finally, the allocation of transportation solutions considering the loss rate of operators. Finally, a real-world example is employed to demonstrate the efficacy of the algorithm.
