AGV-containing personalized customization flexible job shop scheduling method

Abstract

The invention relates to an AGV-containing personalized customization flexible job shop scheduling method. The method comprises the steps that: an AGV-containing personalized customization flexible job shop industrial Internet of Things framework is established; a scheduling target and parameters are set; in the production process, a workpiece produced by a workshop sends a logistics demand instruction to a cloud computing platform, and an AGV receives the logistics demand instruction forwarded by the cloud computing platform, selects the logistics demand instruction with the highest priorityaccording to a priority rule, and plans a production plan corresponding to the workpiece; and a machining unit carries out workpiece machining according to the production plan, the machined workpieceis placed in a workpiece buffer area, and the AGV extracts the workpiece from the buffer area according to the plan. According to the invention, construction of an unmanned intelligent factory is facilitated; an efficient cooperation method of production equipment and logistics equipment is realized; AGV-containing personalized customization flexible job shop scheduling requirements can be met, and the AGV-containing personalized customization flexible job shop scheduling method has certain advantages in the aspects of advance / delay cost, equipment utilization rate and energy consumption compared with a traditional scheduling rule.

Description

technical field [0001] The present invention relates to the technical field of the Internet of Things, and more specifically, relates to a personalized customized flexible job shop scheduling method including an AGV. Background technique [0002] With the advent of the Industry 4.0 era, advanced information technologies such as 5G, cloud computing, edge computing, big data processing, and data twins have also been applied to manufacturing companies to help the manufacturing industry transform and upgrade from automation to intelligence. The help of new technologies enables enterprises to change the traditional mass production mode and pursue an order-driven production mode. This order-driven production is to better adapt to the needs of the current market for personalized customization of multiple varieties and small batches, that is, the personalized customized production mode. [0003] Flexible Job Shop Scheduling (Flexible Job Shop Scheduling) is an NP-hard problem. It h...

AI Technical Summary

Problems solved by technology

[0006] (1) Each processing unit and AGV can only process or carry one workpiece at a time;

[0007] (2) A workpiece can only be processed and transported by one processing unit or AGV at a time;

Obviously, the large-scale dynamic flexible job shop scene is based on high complexity, which is a relatively difficult problem in itself. If AGV logistics factors are taken into consideration, it will be more complicated

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