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Equipment Spare Parts Demand Forecasting and Ordering Decision Based on Holt and MPG
Min Liu
306 - 312
10.3233/FAIA230824
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 373: Advances in Artificial Intelligence, Big Data and Algorithms
Abstract

By extracting the historical usage data of equipment spare parts in the equipment management platform, using Holt method to predict the demand of spare parts, and using MPG method, we can develop reasonable ordering strategy for the demand prediction of spare parts, and provide guarantee for the development of scientific spare parts reserve optimization strategy, and provide scientific decision basis for the improvement of equipment maintenance and guarantee effectiveness.

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