With the rapid development of warehouse robots in logistics and other industries, research on their path planning has become increasingly important. Based analysis various conflicts that occur when robot travels, this study proposes a two-level vehicle model for multi-warehouse robots, which integrates static dynamic to improve operational efficiency reduce operating costs. In phase, blockage f...

Information integration is one of the most important aspects of a Data Warehouse. When data passes from the sources of the application-oriented operational environment to the Data Warehouse, possible inconsistencies and redundancies should be resolved, so that the warehouse is able to provide an integrated and reconciled view of data of the organization. We describe a novel approach to data int...

The development of a data warehouse system is based on a conceptual multidimensional model, which provides a high level of abstraction in the accurate and expressive description of real-world situations. Once this model has been designed, the corresponding logical representation must be obtained as the basis of the implementation of the data warehouse according to one specific technology. Howev...

This paper presents a method with a combination of diverse approaches for requirement elicitation of a Data Warehouse (DW) schema model. This method integrates five approaches: goal-driven, user-driven, process-driven, technology-driven, and data-driven. This method includes two approaches not usually used in the DW field: process-driven and technology-driven. The role of each approach is: goal...

Data warehouse is a powerful tool which makes decision faster and reliable in organizations where ‘information’ is the main asset of primary concern. It is very necessary to assure the information quality of the data warehouse. Information quality depends on multidimensional model quality of data warehouse. In the last few years’ different authors have suggested several approaches to access the...

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...

In this chapter, the two-warehouse inventory problem is considered for deteriorating items with constant demand rate and shortages under inflationary conditions. In today’s unstable global economy, the effects of inflation and time value of money cannot be ignored as it increases the cost of goods. To safeguard from the rising prices, during the inflation regime, the organization prefers to kee...

Healthcare organizations practicing evidence-based medicine strive to unite their data resources in order to achieve a wider knowledge base for sophisticated research and matured decision support service. The central point of such an integrated system is a data warehouse, to which all participants have access. In order to insure a better protection of highly sensitive healthcare data, the wareh...

Integration is one of the most important aspects of a Data Warehouse. When data passes from the sources of the application-oriented operational environment to the Data Warehouse, possible inconsistencies and redundancies should be resolved, so that the warehouse is able to provide an integrated and reconciled view of data of the organization. We describe a novel approach to data integration and...

Most work on data warehousing addresses aspects related to the internal operation of a data warehouse server, such as selection of views to materialise, maintenance of aggregate views and performance of OLAP queries. Issues related to data warehouse maintenance, i.e. how changes to autonomous sources should be detected and propagated to a warehouse, have been addressed in a fragmented manner. A...