Fastener supply chain management system and control method thereof

Abstract

The invention provides a fastener supply chain management system which is characterized by comprising an image acquisition device, a worker behavior database, a mode recognizer, a graph network generator, a graph network analyzer, a data preprocessor and a production decision subsystem. The production model of equipment capacity of each link of the entire supply chain is acquired by a working condition predictor. A a mode recognizer is combined to obtain an estimated personnel productivity production model, so that the existing production plan and period, the residual neutral gear and the residual productivity and the sustainable working state of the whole worker are displayed, and the productivity and the production model are dynamically adjusted according to the production model of the equipment productivity and the personnel productivity. A a decision basis is provided for a decision maker whether to add a task or add personnel to complete the task, so that the initiative of the plan and delivery time of fastener production is realized, and flexible adjustment can be realized.

Description

technical field [0001] The invention relates to the field of fastener supply chains, in particular to a fastener supply chain management system and a control method thereof. Background technique [0002] Fasteners are a type of mechanical parts that are used for fastening connections and are widely used. There are many varieties and specifications, different performances and uses, and the degree of standardization, serialization, and generalization is also extremely high. At present, the assembly of industrial devices and components is mostly detected by various sensors, and then provided to the control system for analysis, judgment and decision-making. However, in practical applications, frequent detection by sensors can only realize the detection of the working conditions of the equipment. The production plan formulated ignores the human factor. The human factor is often the failure of the production planning cycle, which is the key to overdue delivery, especially when em...

AI Technical Summary

Problems solved by technology

At present, the assembly of industrial devices and components is mostly detected by various sensors, and then provided to the control system for analysis, judgment and decision-making. However, in practical applications, frequent detection by sensors can only realize the detection of the working conditions of the equipment. The production plan made ignores the human factor

The human factor is often the failure of the production planning cycle, which is the key to overdue delivery, especially when employees cannot overload the workload due to various reasons, the above-mentioned production planning cycle and delivery overdue are often prone to occur, so it is urgently needed A fastener supply chain management system and its control method, so as to realize the initiative of fastener production planning and delivery time, and can be adjusted flexibly

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