The effective analysis and understanding of huge amount of mobility data have been a hot research topic in the last few years. In this paper, we introduce Mob-Warehouse, a Trajectory Data Warehouse which goes a step further to the state of the art on mobility analysis since it models trajectories enriched with semantics. The unit of movement is the (spatio-temporal) point endowed with several s...

This paper considers a two-echelon distribution inventory system with a central warehouse and a number of retailers. There is direct customer demand also at the warehouse. If this upstream demand requires a high service, it may be advantageous to give higher priority to customer orders compared to retailer replenishments. We suggest and evaluate two techniques for handling this situation. One t...

This paper presents a two-echelon non-repairable spare parts inventory system that consists of one warehouse and m identical retailers and implements the reorder point, order quantity (R, Q) inventory policy. We formulate the policy decision problem in order to minimize the total annual inventory investment subject to average annual ordering frequency and expected number of backorder constraint...

This paper examines the interactions between routing and inventory-management decisions in a two-level supply chain consisting of a cross-docking warehouse and N retailers. Retailer demand is stochastic; i.e., normally distributed and independent across retailers and over time. Travel times are fixed between pairs of system sites. Every m time periods, system inventory is replenished at the war...

We deal with a multi-echelon inventory system in which one warehouse supplies an item to multiple retailers. Customer demand arrives at each retailer at a constant rate. The retailers replenish their inventories from the warehouse which in turn orders from an outside supplier. It is assumed that shortages are not allowed and lead times are negligible. These distribution/inventory systems are en...

diseases management offers the benefits of lower disease occurrence, improved patient care, and lower healthcare costs. the key mechanism used to identify individuals at risk, stratify patients by risk level and track patients’ progress through the disease management is the data warehouse (dw). this review article describes operational systems, dw features and component and role of it in diseas...

In this paper, an inventory management framework and deterministic costs models within the context of this framework are structured for effective supply chain under deterministic and fuzzy environment. In this regard, we propose a bi-echelon multi-product supply chain in which a central manufacturing firm (lower echelon) with warehouse space limitation is fed through different suppliers (upper ...

We propose a nonparametric data-driven algorithm called DDM for the management of stochastic periodicreview multi-product inventory systems with a warehouse-capacity constraint. The demand distribution is not known a priori and the firm only has access to past sales data (often referred to as censored demand data). We measure performance of DDM through regret, the difference between the total e...

We propose a nonparametric data-driven algorithm called DDM for the management of stochastic periodicreview multi-product inventory systems with a warehouse-capacity constraint. The demand distribution is not known a priori and the firm only has access to past sales data (often referred to as censored demand data). We measure performance of DDM through regret, the difference between the total e...