Construction of an Artificial Intelligence Real-time Logistics Supply and Demand Co-ordination Mechanism Platform Based on a Three-dimensional Matrix Curve Model
The logistics industry is an important part of industry and commerce; it is slowly developing from automation to intelligence, which has become the new profit point for enterprises. This article builds a simple, shared, and easy-to-use platform for a real-time logistics supply and demand co-ordination mechanism to realize the collection, release, and intelligent matching of cargo transportation resources and transportation vehicle resource information, effectively solving many of the problems in the logistics market, improving the efficiency of logistics management operations, and reducing logistics. A distance matrix solution algorithm based on the road network layered model is proposed to quickly solve the distance matrix under the complex road network model. A comprehensive judgment method based on the membership function was used to quantify the cost of sorting the carriages. At the same time, a compound cost objective function model was established with a mathematical model of the vehicle
routing problem with return pickup. The membership function of uncertain vehicle speed is fitted with traffic flow data, and the membership function of shipment weight and volume is fitted with the business data of actual logistics enterprises. Aiming at the logistics scheduling problem, a rule-based genetic algorithm was proposed to achieve the purpose of optimizing the scheduling results and improving the operation efficiency. A method for optimizing cargo location based on an adaptive immune genetic algorithm was proposed, which significantly improved the intelligence of the warehouse and the operational efficiency of the warehouse.
Keywords: intelligent logistics, supply and demand coordination mechanism, genetic algorithm, adaptive immunity
Q. Fu, J. Li, L. Chun-jun, "Construction of an Artificial Intelligence Real-time Logistics Supply and Demand Co-ordination Mechanism Platform Based on a Three-dimensional Matrix Curve Model", Engineering Intelligent Systems, vol. 29 no. 4,
pp. 263-274, 2021.