Warehouse operational costs are heavily influenced by the efficiency in which workers are able to traverse the warehouse and gather items on orders around the warehouse that must be shipped to customers; this action accounts for over 50% of warehouse operations expenses. The act of traversing the warehouse is greatly optimized by following a designated pick path; however, algorithms for pick pa...

− Previous research has provided metadata models that enable the capturing of the static components of a data warehouse architecture, along with information on different quality factors over these components. This paper complements this work with the modeling of the dynamic parts of the data warehouse. The proposed metamodel of data warehouse operational processes is capable of modeling complex...

With the development of petroleum informatization and increase of drilling data, data storage, analysis and integration is attached to the key planning process. Therefore, a solution is needed which combines the data integration, management, analysis and decision support. Data warehouse is one of the hot topics in computer technology application, which has solved the problem of data using after...

The study of agricultural product's inventory is significant to lower its logistics cost, reduce the waste during the logistics courses and guarantee its quality. Deteriorating items can be studied by the way of literature review according to time varying of demand, inventory shortage and deteriorating rate while multi-warehouse according to the number of renting warehouse, capacity and demand ...

A warehouse is a data repository containing integrated information for e cient querying and analysis. Maintaining the consistency of warehouse data is challenging, especially if the data sources are autonomous and views of the data at the warehouse span multiple sources. Transactions containing multiple updates at one or more sources, e.g., batch updates, complicate the consistency problem. In ...

This paper deals with temporal and archive object-oriented data warehouse modelling and querying. In a first step, we define a data model describing warehouses as central repositories of complex and temporal data extracted from one information source. The model is based on the concepts of warehouse object and environment. A warehouse object is composed of one current state, several past states ...

A data warehouse is built by collecting data from external sources. Several changes on contents and structures can usually happen on these sources. Therefore, these changes have to be reflected in the data warehouse using schema updating or versioning. However a data warehouse has also to evolve according to new users’ analysis needs. In this case, the evolution is rather driven by knowledge th...

A stream warehouse is a Data Stream Management System (DSMS) that stores a very long history, e.g. years or decades; or equivalently a data warehouse that is continuously loaded. A stream warehouse enables queries that seamlessly range from realtime alerting and diagnostics to long-term data mining. However, continuously loading data from uncontrolled sources into a realtime stream warehouse in...

Information requirements analysis for data warehouse systems differs significantly from requirements analysis for conventional information systems. Existing data warehouse specific approaches are reviewed. A comprehensive methodology that supports the entire process of determining information requirements of data warehouse users, matching information requirements with actual information supply,...

Tanah Bumbu is one of the most endemic areas in Indonesia for patients diagnosed with malaria diseases. Currently, available malaria case data were stored in disparate sources. Hence, it is difficult for the public health department to quickly and easily gather the useful information for determining strategic actions in tackling these cases. The purpose of this research is to build a data wareh...