Solving Robust Inventory Problems In this work we consider setting the optimal inventory control policies for a single buffer when demand is uncertain, in a robust framework. Unlike traditional inventory models we do not assume that the demand is random with a known distribution. Instead, demand can take values from a given uncertainty set. Our objective is to find the policy that minimize the ...

The common belief is that using Reinforcement Learning methods (RL) with bootstrapping gives better results than without. However, inclusion of bootstrapping increases the complexity of the RL implementation and requires significant effort. This study investigates whether inclusion of bootstrapping is worth the effort when applying RL to inventory problems. Specifically, we investigate bootstra...

A significant amount of work has investigated inventory control problems associated with fresh produce. Much of this work has considered deteriorating inventory control with many models having been proposed for the various situations that exist. However, no researchers have specifically studied fresh produce which has its own special characteristics. Most research categorise fresh produce into ...

Traditional computerised inventory control systems usually rely on exponential smoothing to forecast the demand for fast moving inventories. Practices in relation to slow moving inventories are more varied, but the Croston method is often used. It is an adaptation of exponential smoothing that 1) incorporates a Bernoulli process to capture the sporadic nature of demand and 2) allows the average...

background: during recent years, there have been many advances in different types of pharmacological and non‑pharmacological tobacco control treatments. in this study, we aimed to identify the most effective smoking cessation methods used in quit based upon a review of the literature. methods: we did a search of pubmed, limited to english publications from 2000 to 2012. two trained reviewers in...

Ensuring availability of spare parts is essential for original equipment manufacturers (OEMs) to support after-sales maintenance and repair services their products. Previous studies have pointed out shortcomings literature in supporting practitioners with guidelines on development effective management systems. This paper assesses the extent which recent research advances address these shortcomi...