Intelligent manufacturing scheduling method based on market collaboration mechanism

Abstract

One embodiment of the invention discloses an intelligent manufacturing scheduling method based on a market cooperation mechanism. The method comprises the steps: S10, building virtual dispatcher agents conforming to rational human hypothesis for an order task of each manufacturing system, wherein the virtual dispatcher agent is responsible for the decomposition, coordination and tracking of the order task; S12, respectively establishing resource broker agents conforming to rational human hypotheses for various human, machine and object manufacturing resources, wherein the resource broker agents are responsible for undertaking, tracking and coordination of order decomposition tasks; S14, according to the importance and urgency of the order task, allocating virtual currency to the virtual dispatcher agents, wherein the virtual dispatcher agents utilize the virtual currency to purchase a resource use time period from the resource broker agent in a bidding mode, so that the order task is scheduled; and S16, when disturbance occurs, enabling the virtual dispatcher agent and the resource broker agent to negotiate, and carrying out scheduling adjustment through a comprehensive means of adding virtual currency and carrying out reward and punishment on performance conditions.

Description

technical field [0001] The invention relates to the field of manufacturing scheduling of manufacturing systems. More specifically, it relates to an intelligent manufacturing scheduling method based on a market collaboration mechanism. Background technique [0002] Manufacturing scheduling is the core function of the current manufacturing system, and the corresponding technical characteristics can be divided according to the following three dimensions: (1) According to the type of production mode organized by the enterprise, including make-to-stock (Make To Stock, MTS for short), make-to-order Assembly (Assemble To Order, ATO for short), Make To Order (MTO for short), Engineer To Order (ETO for short), Continuous production (Continuous), etc. (2) According to the type of manufacturing business process, including forward manufacturing process (such as research and development, production, procurement, sales, service), remanufacturing process (such as dismantling, reprocessing...

AI Technical Summary

Problems solved by technology

The plan itself is difficult to execute accurately, and the disturbance of the planned task will bring greater uncertainty to the plan execution

(2) Uncertainty caused by process route disturbance

On the one hand, the execution deviation affects the successor subtasks of the task where the deviation occurs, and on the other hand, it affects the tasks waiting in line at the place where the deviation occurs. The scope of influence is difficult to determine

(5) Uncertainty caused by equipment failure disturbance

The maintenance and repair of equipment will affect the already formed production rhythm and produce unpredictable production bottlenecks

[0005] However, due to their own limitations, the existing plan scheduling and pull scheduling cannot adapt to the aforementioned unce

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