Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

We are concerned with the interaction and integration between demand forecasting and
inventory control, in the context of supply chain operations. The majority of the literature is …

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 …

We focus on the inventory management of critical spare parts that are used for service
maintenance. These parts are commonly characterised by a large variety, an intermittent …

Intermittent demand occurs commonly for spare parts in the heavy-duty vehicle industry.
Demand uncertainty and intermittency pose challenges to demand forecasting by …

Intermittent demand forecasting is an important challenge in the process of smart supply
chain transformation, and accurate demand forecasting can reduce costs and increase …

Intermittent demand forecasting has been widely researched in the context of spare parts
management. However, it is becoming increasingly relevant to many other areas, such as …

In this paper, new neural network (NN) methods are proposed to forecast intermittent
demand and we empirically study their performance as compared to parametric and non …

In this paper, an integrated model for the joint optimisation of preventive replacement time
and spare parts ordering policy is proposed for systems with more than one identical items …

Spare parts are often associated with intermittent demand patterns that render their
forecasting a challenging task. Forecasting of spare parts demand has been researched …