Cost Optimization Control of Logistics Service Supply Chain Based on Cloud Genetic Algorithm

Abstract

As a kind of service supply chain, logistics service supply chain is an important trend in the development of logistics industry. Compared with developed countries in foreign countries, the level of logistics development in China is lagging behind. Facing the unprecedented competition pressure from foreign logistics enterprises, how to realize the construction and operation with high quality and low cost in logistics service supply chain is one of the key problems at present. Quality cost is the cross field of quality management and cost control, and its function has been widely verified at home and abroad. Therefore, through the research and analysis of the quality cost, the construction and cost optimization method of logistics service supply chain based on cloud genetic algorithm is proposed. The quality cost theory is applied to the related research of logistics service supply chain to realize the integration between integrated logistics service providers and functional logistics service providers with high quality and low cost. At the same time, it can provide the basis and means for quality management and cost control in the long-term operation of logistics service supply chain. Finally, the effectiveness of quality cost in the construction and operation optimization of logistics service supply chain is verified through the case of S Company.