Order-oriented flexible production dynamic scheduling system based on multi-agent

Abstract

The invention provides an order-oriented flexible production dynamic scheduling system based on multi-agent. The system includes a process agent, a monitoring agent, a management agent, a resource module and an algorithm agent; the process agent is responsible for managing the product process information of the system and provides data query services for other agents; the monitoring agent is responsible for collecting equipment working status information and performing fault analysis; management Agent is the message transfer station of the system and is responsible for managing all agents; the resource module consists of workshop agent and equipment agent. The equipment agent is responsible for simulating the work progress of the equipment, and the workshop agent is responsible for managing the equipment agents under it; the scheduling of the algorithm agent encapsulation system method and rescheduling method to provide computing services for other agents. The scheduling system and method can improve the utilization rate and management level of manufacturing resources in the manufacturing industry, and can quickly respond to abnormal factors to ensure the continuous stability and high efficiency of the manufacturing process.

Description

technical field [0001] The invention belongs to the technical field of workshop scheduling control, in particular to an order-oriented flexible production dynamic scheduling system based on multiple agents. Background technique [0002] Modern manufacturing is facing an increasingly complex manufacturing environment, mainly reflected in the following points: [0003] (1) With the improvement of living standards, people pay more attention to personalized and diversified commodities, and customer demands are more dynamic and changeable. Manufacturing problems such as random orders and a wide variety of products need to be solved. [0004] (2) The manufacturing resources of enterprises are distributed. An enterprise may have several factories, which are located in different geographical locations, and the workshop structure and equipment configuration of each factory may be different. When determining the production scheduling plan, it is necessary to comprehensively conside...

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Problems solved by technology

[0006] (4) The manufacturing environment is full of uncertainties, such as rework and repair of parts that fail the test, equipment failure, shortage of raw materials, order changes, etc.

This agent group can be used as a general scheduling system, but due to the small number of agents (Agents), the division of labor is not clear, and the functions are too concentrated, which reduces the overall flexibility. Reschedules corresponding to type and impact, so less useful

[0011] To sum up, my country's current workshop scheduling system combined with various scheduling algorithms can generally generate efficient scheduling schemes, but these scheduling schemes have the following problems: (1) The resource utilization rate is not high, basically only for manufacturing enterprises with centralized production control, Did not take into account the joint manufacturing resources of factory workshops distributed in various places to carry out the decomposition and distribution of order tasks

(2) The level of information management is not high, ignoring the formal representation of production equipment and product process information, so the response to addition, deletion, checking and modification of information is not timely and flexible enough

(3) The impact of the fault on the original scheduling plan is not considered, or the type and impact of the fault cannot be fully considered to adopt a corresponding re-scheduling strategy

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