Multi-stage redundancy collection control method for spare part supply

Abstract

The invention belongs to the technical field of data processing, and particularly relates to a spare part supply-oriented multi-level redundancy collection control method, which specifically comprises the following steps of: calculating the actual purchase quantity of an order set of spare parts to be processed according to order data in a preset time period in combination with an order change acceptance rate; the actual purchase quantity of the order set is obtained through the product of the purchase quantity in the order and the order change acceptance rate; obtaining redundancy data of the spare parts to be processed, wherein the redundancy data comprises in-transit redundancy, risk redundancy and/or cost balance redundancy; obtaining a final purchase quantity according to the sum of the actual purchase quantity and the redundancy data; according to the method, multi-level redundancy processing is adopted when a large amount of uncertain purchase demand fluctuation occurs, through multi-level superposition, the purchase amount is gradually made to be close to the actual usage amount, and compared with a traditional method for determining the purchase amount through manual experience, the method has higher practicability and a higher guiding effect, and is especially suitable for new purchase platforms or enterprises.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a multi-level redundant centralized acquisition control method for spare parts supply. Background technique [0002] In the supply chain procurement scenario of important components for large institutions or institutional groups, companies are gradually adopting the model of shared parts or centralized parts supply in order to reduce inventory or squeeze costs. That is, a separate enterprise or business department is responsible for the procurement and supply of parts for multiple demanders. This shifts the pressure of procurement and supply to the enterprises or departments that implement centralized procurement. This transformation puts forward higher requirements for the work planning and implementation of the procurement department. [0003] In the face of the scenario of multi-party shared needs, the procurement department needs to reasonably formulate p...

AI Technical Summary

Problems solved by technology

On the one hand, this type of method has many practical constraints, high accuracy of historical data, and large requirements for data volume; on the other hand, the single calculation basis makes the procurement decision-making risk higher

These characteristics make it difficult for newly-built centralized purchasing enterprises or departments to apply

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