In most of the literatures on two-warehouse inventory decision models, the last-in-first-out (LIFO) dispatching policy has always been assumed. This presumption, however, is not in line with the actual practice of most business entities. To enhance the freshness of merchandise or goods, businesses commonly follow the first-in-first-out procedure (FIFO). This inconsistency forms the base and mai...

BACKGROUND Research addressing value in healthcare requires a measure of cost. While there are many sources and types of cost data, each has strengths and weaknesses. Many researchers appear to create study-specific cost datasets, but the explanations of their costing methodologies are not always clear, causing their results to be difficult to interpret. Our solution, described in this paper, w...

In his paper a deterministic two warehouse Electronic component inventory model for deteriorating items, timedependent demand, variable holding cost and vector evaluated genetic algorithm has been developed under assumption that the Electronic component inventory cost including time-dependent demand, holding cost, vector evaluated genetic algorithm and deterioration cost in Rented Warehouse is ...

We develop a decision support system, based on the data warehousing approach. We define a conceptual object-oriented data warehouse model, which describes the data warehouse as a central repository of relevant, complex and temporal data. Our model integrates three concepts: warehouse object, environment and warehouse class. Each warehouse object representing a source entity, is composed of one ...

This paper brings together two research areas, i.e. “Data Warehouses” and “Temporal Databases”, involving representation of time. Looking at temporal aspects within a data warehouse, more similarities than differences between temporal databases and data warehouses have been found. The first closeness between these areas consists in the possibility of a data warehouse redefinition in terms of a ...

A new trend in Business Intelligence is the process of combining information from two or more different and heterogeneous Data Warehouses. Existing solutions rely mostly on the Extract-Transform-Load (ETL) approach, a costly and laborious process. The process of Data Warehouse integration can be greatly simplified by developing methods to semi-automatically discover semantic mappings among attr...

Data warehouses contain historic data providing information for analytical processing, decision making and data mining tools. However, several business intelligence applications nowadays require access to real-time data to make sound decisions. As a consequence, there is a great demand to incorporate new data from sources to the data warehouse as fast as possible. That motivates the constructio...