Logistics risk cost control method based on improved sand dune cat swarm algorithm

• Main Authors: DING YIWEI, NAN JIANGLONG, HUANG ZHENDONG, HONG YIWEI, YI CHAO, ZHANG HAIXIA
• Format: Patent
• Language: Chinese; English
• Published: 06.02.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a logistics risk cost control method based on an improved sand dune cat swarm algorithm, which can comprehensively consider two key factors of transportation risk and cost, provide reference for a luxury enterprise to select a reasonable transportation path, help the luxury enterprise to control the supply chain risk, reduce the operation cost and improve the efficiency of the luxury enterprise. And the market competitiveness of enterprises is improved. According to the technical scheme, the method comprises the steps of 1, establishing a luxury logistics model; and 2, adopting an improved dune cat swarm algorithm, utilizing a reverse learning behavior mode, introducing greedy updating and an individual memory strategy to optimize a traditional dune cat swarm algorithm, taking the luxury logistics model established in the step 1 as a constraint condition, calculating an optimal scheme of luxury logistics, generating a global optimal path through a recovery planning algorithm, and perfo