This paper presents architecture for health care data warehouse specific to cancer diseases which could be used by executive managers, doctors, physicians and other health professionals to support the healthcare process. The data today existing in multi sources with different formats makes it necessary to have some techniques for data integration. Executive managers need access to Information s...

It is widely accepted that a data warehouse is the central place of a Business Intelligence system. It stores all data that is relevant for the company, data that is acquired both from internal and external sources. Such a repository stores data from more years than a transactional system can do, and offer valuable information to its users to make the best decisions, based on accurate and relia...

We consider a distribution system with a central warehouse and multiple retailers. The warehouse orders from an outside supplier and replenishes the retailers which in turn satisfy customer demand. The retailers are nonidentical, and their demand processes are independent compound Poisson. There are economies of scale in inventory replenishment, which is controlled by an echelon-stock, batch-tr...

This study initially employs multiple criteria decision making (MCDM) to evaluate and prioritise technological alternatives with the potential to fulfil the vision and objectives of one of the largest banks in Thailand. The study results reveal that the predominant preferred technology is data warehouse (i.e. a central source of data that has been extracted, standardised and integrated from var...

 In this paper, optimum procurement policy is worked out when trade credit is offered to the retailer by the supplier and demand is stock-dependent. The own warehouse (OW) capacity is limited and excess inventory is stored in rented warehouse (RW). The rented warehouse has modern infra-structure facility. Hence, the unit holding cost in rented warehouse is assumed to be higher than that in the...

Data Warehouse systems aim at integrating data from multiple heterogeneous, distributed, autonomous data sources. Due to changing business needs the data warehouse systems are never meant to be static. Changes in the data source structure or business requirements would result in the evolution of data warehouse schema structure. When data warehouse schema evolves the dependent modules such as it...

3 The need for more flexible, adaptable and customer-oriented warehouse operations has been increasingly identified as an important issue by today’s warehouse companies due to the rapidly changing preferences of the customers that use their services. Motivated by manufacturing and other logistics operations, in this paper we argue on the potential application of product intelligence in warehous...

Data warehousing is a collection of concepts and tools which aim at providing and maintaining a set of integrated data (the data warehouse) for business decision support within an organization. They extract data from different operational data sources, and after some cleansing and transformation procedures data are integrated and loaded into a central repository to enable analysis and mining. D...

Nowadays, there are an emergence of spatial or geographic data stored in several and heterogeneous databases, mostly in Geographic Information Systems (GIS). The diversity of GIS and the increasing accumulation of non-spatial (simple attributes) and spatial (geometric shapes) data make it difficult to apply conventional OLAP and data mining tools. Thus, the need to build a spatial data warehous...