This paper presents a systematic review of studies related to artificial intelligence (AI)
applications in supply chain management (SCM). Our systematic search of the related …

Abstract Supply Chain Forecasting (SCF) goes beyond the operational task of extrapolating
demand requirements at one echelon. It involves complex issues such as supply chain …

Spare parts demand forecasting has received considerable attention over the last fifty years
as it is a challenging problem for many companies. This paper provides a critical review and …

Spare parts are held to reduce the consequences of equipment downtime, playing an
important role in achieving the desired equipment availability at a minimum economic cost …

Daily SKU demand forecasting is a challenging task as it usually involves predicting
irregular series that are characterized by intermittency and erraticness. This is particularly …

This paper investigates the gap between research and practice in spare parts management,
with specific reference to durable goods addressed to private or professional customers. The …

Due to the main peculiarities of spare parts, ie intermittent demands, long procurement lead
times and high downtime costs when the parts are not available on time, it is often difficult to …

Demand forecasts are the lifeblood of supply chains. Academic literature and common
industry practices indicate that demand forecasts are often subject to human interventions …

Product forecasts are a critical input into sourcing, procurement, production, inventory,
logistics, finance and marketing decisions. Numerous quantitative models have been …

Spare parts are held as inventory to support product maintenance in order to reduce
downtime and extend the lifetime of products. Recently, spare parts inventory management …