Distributed logistics inventory optimization method based on cloud calculation environment

Abstract

The invention discloses a distributed logistics inventory optimization method based on a cloud calculation environment. The method includes the steps of S1, building the algebraic model and constraintcondition function of an evaluation function f(U); S2, calculating the value of each component, and building the optimal equation matrix HM of harmony inventory; S3, using probability P(Xi) to replace harmony memory considering rate HMCR, and generating a new solution vector according to a harmony searching algorithm; S4, calculating the target function value f(Ub) of the new solution vector according to the evaluation function f(U), comparing the target function value f(Ub) of the new solution vector with the target function value f(Ub) of an original solution vector, and updating the inventory; S5, repeating the steps from S2 to S4, stopping until preset maximum iteration times are reached, and outputting optimal solution. By the method which is fast in response and optimization speed and high in multi-target optimization calculation efficiency, distributed logistics inventory pre-warning and cost optimization under the cloud calculation environment are achieved, and the dynamic management of the distributed logistics inventory is achieved.

Description

technical field [0001] The invention relates to the technical fields of cloud computing, intelligent logistics and distributed database. More specifically, the present invention relates to a distributed logistics inventory optimization method based on cloud computing environment. Background technique [0002] The high inventory cost seriously restricts the benefit and development of logistics enterprises. Inventory management and optimization is a key problem faced by logistics enterprises and must be solved. With the wide application of high-tech such as the Internet, cloud computing, Internet of Things, GPS / BeiDou navigation, e-commerce logistics is expanding rapidly, especially the rapid development of cross-border e-commerce and rural e-commerce, and the warehouse layout of e-commerce logistics companies is becoming more and more More and more, the requirements for inventory management are getting higher and higher. Optimizing distributed logistics inventory management ...

AI Technical Summary

Problems solved by technology

However, the above-mentioned distributed inventory management model and optimization method have slow response and optimization speed, and low efficiency of multi-objective optimization calculation.

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