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 …

In classical inventory, a customer is served the demanded item immediately on his arrival,
provided at least one item is available. However, in inventory with positive service time, it …

Multi-criteria inventory classification groups inventory items into classes, each of which is
managed by a specific re-order policy according to its priority. However, the tasks of …

In today's economic context, production systems must be readily available and machinery
downtime kept to a minimum. Maintenance and spare parts inventory management play a …

Many problems in manufacturing systems can be formulated via Markov stochastic
modeling. This paper gives a review and classification of timed models of manufacturing …

This paper deals with a multi-period location-inventory optimization problem in a multi-
echelon supply chain network characterized by an uncertain demand and a multi-sourcing …

Despite the surge of literature on customer engagement (CE) in social media, few studies
shed light on how to leverage CE to improve firms' operational efficiency. This research …

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 …

Recently, there has been great interest in using additive manufacturing (AM) to produce
spare parts: allowing to produce spare parts with short lead times and close to the point of …

A detailed review on queueing inventory models with various cases like Single server
Queueing systems with Inventory, Queueing inventory system with stochastic environment …