The study investigates the practice of data warehouse system selection decisions for small and medium-sized enterprises (SMEs) and large enterprises (LEs) in Taiwan. The increasing number of companies looking for data warehousing solutions to gain a significant business advantage has created a need for systematic method for choosing appropriate data warehouse system. The aim of this study is to...

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...

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 presents a method of warehouse simulation model implementation using concepts of virtual reality (VR). The basic idea is to compare the "real process" controlled by operator with his/her heuristics to the "virtual process" represented by a simulation model, controlled by the optimization algorithm. The optimization algorithm is based on a SD model of the warehouse and decision suppor...

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...

Data warehouse technology transforms the operational data store to general and compositive information. It also provides effective way for analysis and statistic to the mass data, and helps to do the decision-making. The paper introduces the data warehouse and the online analysis process. According to the power management information system, the paper analyzes the power-oriented multidimensiona...

A warehouse is a data repository containing integrated information for eecient 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 ...

The work proposed herein presents an approach that differs from the existing ones for the ongoing assessment of distance learning using some of the aspects relating to those utilized in the above cited studies. This paper discusses the use of Data Warehouse and Data Mining resources to aid in the assessment of distance learning of students enrolled in distance courses. Information considered re...

The distributed data warehouse supports the decision makers by providing a single view of data even though that data is physically distributed across multiple data warehouses in multiple systems at different branches. This environment has changed the face of computing and offered quick and precise solutions for a variety of complex problems for different fields. This paper reviews distributed d...