Intelligent and comprehensive data warehouse systems are a powerful instrument for organizations to analyze their business. The implementation of such decision systems for an enterprise-wide management and decision support can be very different from traditional software implementations. Because data warehouse systems are strongly data-driven, the development process is highly dependent on its u...

Original scientific paper Warehouse management is one of the most important legs in supply chain operations and production management. To support that warehouse execution, a warehouse management system is required. Many warehouses have used various methods to handle this difficult and time consuming evaluation process. The purpose of this paper is to provide a decision support model to make a c...

In twenty-first century, automated stereoscopic warehouse has attracted many attentions of the enterprises because it has high working efficiency. The operation efficiency and management benefit of an automated stereoscopic warehouse are affected directly by the order picking efficient, it is an important symbol of service level about the automated stereoscopic warehouse. This paper from the pe...

Poor quality of data in a warehouse adversely impacts the usability of the warehouse and managing data quality in a warehouse is very important. In this article we describe a framework for managing data quality in a data warehouse. This framework is of interest to both academics and practitioners as it offers an intuitive approach for not just managing data quality in a data warehouse but also ...

The data warehouse is not a new practice in the IT world, all the domains which have data can make a decision system, data warehouse, to exploit well the generated knowledge we have to maintain the good conditions to have a good decision making. By the application of the best practice of ITIL, we limit the risks and the malfunction of a data warehouse, and by the addition of a layer which treat...

Solving data quality problems is important for data warehouse construction and operation. This paper is based on developing a web log warehouse. It proposes a data quality problem methodology for data preprocessing within the log warehouse. It provides a hierarchical data warehouse architecture that is suitable for resource saving and ad hoc requirements. The data preprocessing is completed usi...

Using ProModel simulation language, a universal warehouse storage simulation model has been developed. Applications of the model have been executed with success to analyze the storage capacity and rack efficiency of a medium volume, low stock-keeping unit (SKU) warehouse and a medium volume, large SKU warehouse. The model is scaleable and can be modified to simulate any warehouse configuration,...

Data warehouse projects bring together different communities of practice, with the primary objective of producing one body of information which is capable of comparative advantages in business analysis. Due to the number of involved communities and the complexity of their collaboration, data warehouse projects are costly. In this paper we give a closer look at communication problems on boundari...

We believe that, to manage Web data effectively, there is a need to build a data warehouse of Web data, i.e. a Web warehouse. In this paper, we focus on how to represent and store relevant hyperlinked Web documents effectively in a Web warehouse called WHOWEDA (WareHouse Of WEb DAta) for further querying and manipulation. We present a simple and general model for representing metadata, structur...