A deterministic inventory model with two levels of storage (own warehouse and rented warehouse) with non-instantaneous deteriorating items is studied. The supplier offers the retailer a trade credit period to settle the amount. Different scenarios based on the deterioration and the trade credit period have been considered. In this article, we have framed two models considering single warehouse ...

Data warehouse design is clearly dominated by the business perspective. Quite often, data warehouse administrators are lead to data models with little room for performance improvement. However, the increasing demands for interactive response time from the users make query performance one of the central problems of data warehousing today. In this paper we defend that data warehouse design must t...

Heterogene Data Warehouse-Landschaften sind durch eine Vielzahl verschiedener Softwarekomponenten gekennzeichnet, deren Integration zu einer funktionierenden Business Intelligence-Lösung eine besondere Herausforderung darstellt. Die Metadaten der beteiligten Komponenten stellen dabei einen viel versprechenden Ansatz der effektiven und effizienten Verknüpfung dar, die aber durch die proprietären...

Data warehouse is used to provide effective results from multidimensional data analysis. The accuracy and correctness of these results depend on the quality of the data. To improve data quality, data must be properly extracted, transformed and loaded into the data warehouse. This ETL process is the key to the success of a data warehouse. In this paper we propose a conceptual ETL framework for a...

This paper describes a decision support system (DSS) for use in allocating scarce resources associated with data quality efforts in the construction of a data warehouse. The DSS is populated with metadata from a data warehouse project, including tags that identify the quality at intersections of data field, data use, and data dimension. The resulting DSS can then be queried by novices on a data...

A data warehouse stores integrated information from multiple distributed data sources. In effect, the warehouse stores materialized views over the source data. The problem of ensuring data consistency at the warehouse can be divided into two components: ensuring that each view reflects a consistent state of the base data, and ensuring that multiple views are mutually consistent. In this paper w...

Thanks to Web 2.0 and socio-technical environments, we need to shift the paradigm in current conceptual framework for interactive systems from professionally dominated cultures to democratized design cultures. With this paradigm shift, it requires us to use better output filters. I have addressed the mechanisms to build effective output filters and the ways to increase the social creativity of ...

Data warehouse acting as a decision support systems, Data warehouses standardize the data across the organization so that there will be one view of information. Data warehouses can provide the information required by the decision makers. Developing a data warehouse for educational institute is the less focused area as educational institutes are non-profit and service oriented organizations. In ...

Typical Intelligent Decision Support System is 4-based, its design composes of Data Warehouse, Online Analytical Processing, Data Mining and Decision Supporting based on models, which is called Decision Support System Based on Data Warehouse (DSSBDW). This way takes ETL,OLAP and DM as its implementing means, and integrates traditional model-driving DSS and data-driving DSS into a whole. For thi...

Warehouse location selection is a multi-criteria decision problem including both quantitative and qualitative criteria and has a strategic importance for many companies. The conventional methods for warehouse location selection are inadequate for dealing with the imprecise or vague nature of linguistic assessment. To overcome this difficulty, fuzzy multi-criteria decision-making methods are pro...