this paper deals with an i * corresponding author email address:   nventory system with one central warehouse and a number of identical retailers. we consider perishable-on-the-shelf items; that is, all items have a fixed shelf life and start to age on their arrival at the retailers. each retailer faces poisson demand and employs (1, t) inventory policy. although demand n...

This paper addresses a multiperiod integrated model that plans deliveries to customers based upon inventories (at warehouse and customer locations) and vehicle routes. The model determines replenishment quantities and intervals at the warehouse, and distribution lots and delivery routes at customer locations. We investigate coordination of customer and warehouse replenishment decisions and illu...

The bottleneck of a data warehouse implementation is the ETL (extraction, transformation, and load) process, which carries out the initial population of the data warehouse and its further (usually periodical) updates. There is a number of software products supporting the OLAP analysis. However, the ETL process implementation is not repeatable in a significant way. This paper reports on a resear...

Data warehouses are complex systems consisting of many components which store highlyaggregated data for decision support. Due to the role of the data warehouses in the daily business work of an enterprise, the requirements for the design and the implementation are dynamic and subjective. Therefore, data warehouse design is a continuous process which has to reflect the changing environment of a ...

Data warehouse [2,4,5,6] is an integrated repository derived from multiple source (operational and legacy) databases. The data warehouse is created by either replicating the different source data or transforming them to new representation. This process involves reading, cleaning, aggregating and storing the data in the warehouse model. The software tools are used to access the warehouse for str...

As a matter of fact, the capacity of any warehouse is limited, so a firm has to hire a warehouse called rented warehouse (RW) for storing the excess units over the fixed capacity W (say) of the own warehouse (OW). Practically the RW is assumed to offer better storing facilities than the OW, which results in a lower rate of deterioration and is supposed to charge higher holding cost than the OW....

Data Warehouse is frequently organized as collection of multidimensional data cubes, which represent data in the form of data values, called measures, associated with multiple dimensions and their multiple levels. However, some application areas need more expressive model for description its data. This paper presents the extension of classical multidimensional model to make Data Warehouse more ...

Data Warehouse design requires a to why dimensional modelling is preferred over E-R modelling when creating data warehouse. Radical rebuilding of tremendous measures of information, frequently of questionable or conflicting quality, drawn from various heterogeneous sources. Data Warehouse configuration assimilates business learning and innovation know-how. The outline of theData Warehouse requi...