Manufacturing service resource dynamic scheduling method and system based on random online algorithm

Abstract

The invention discloses a manufacturing service resource dynamic scheduling method and system based on a random online algorithm, and the method and system are applied to a server. The method comprises: storing the numbers of all manufacturer clients, the distances between which and purchaser clients are within a set range, in a container; receiving a production target and production resources submitted by a purchaser client connected with the server; storing the received production target and the production resource in a resource pool; receiving production state data submitted by a plurality of manufacturer clients connected with the server; traversing the production state data submitted by all manufacturer clients; storing the production state data of each manufacturer at each moment in a queue; and according to the production state data of each manufacturer at each moment, randomly selecting a manufacturer capable of realizing a production target, and pushing production resources in a production cycle to a corresponding manufacturer client.

Description

technical field [0001] This application relates to the technical field of large-scale network collaborative manufacturing, in particular to a method and system for dynamic scheduling of manufacturing service resources based on random online algorithms. Background technique [0002] The statements in this section merely mention the background art related to this application, and do not necessarily constitute the prior art. [0003] In recent years, emerging industries such as the Internet have continued to grow, bringing great convenience to human production and life, and at the same time promoting the rapid development of the national economy. Manufacturing, as a traditional pillar industry, still occupies an important position in the national economy despite the rapid development of high-tech and highly popularized information technology, and can reflect a country's technological development level and comprehensive competitiveness to a certain extent. In the process of lar...

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Problems solved by technology

[0006] The inventors found that at present, some relatively mature resource scheduling algorithms have been proposed, including elevator scheduling algorithms, high-priority priority scheduling algorithms, high response ratio priority scheduling algorithms, time slice-based round-robin scheduling algorithms, etc., in large-scale collaborative manufacturing During the production process, the above algorithms will be limited by practical factors such as time and space, and cannot realize personalized resource scheduling strategies according to the actual situation and characteristics of each manufacturer, let alone relieve system load pressure and reduce system operating costs

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