Spare Parts Consumption Forecasting Using a Hierarchical Bayesian Model
Marcello Dantas Gomes Júnior,
Pauli Adriano de Almada Garcia
Abstract:One of industrial companies' challenges, especially for intensive-use plants and other assets, is the proper sizing of the stock of strategic spare parts, items that have a history of low consumption, but whose lack can cause delays in repair and maintenance services, at the extreme leading to operational shutdowns. Effects can be from small to large scales. While on one hand, having a large stock of strategic items can provide a greater guarantee of operational availability, on the other hand, it brings addit… Show more
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