The main objective of this paper is to develop a two-warehouse inventory model with partial backordering and Weibull distribution deterioration. We consider inflation and apply the discounted cash flow in problem analysis. The discounted cash flow DCF and optimization framework are presented to derive the optimal replenishment policy that minimizes the total present value cost per unit time. Wh...

A two warehouse production inventory model for deteriorating items is explored in an inflation induced demand and partial backlogging under the effect of learning on set-up cost. Holding cost is treated as a linear function of time and production rate is taken as a linear combination of demand and on-hand inventory. A finite planning horizon inventory problem having two separate warehouses, one...

Although the importance of locating in manufacturing and service companies is not a new issue, one of significance applications is to determine the appropriate location for warehouses in manufacturing workshops warehouses to the maintenance of materials or products. In any organizations, Finding the suitable site for warehouses establishments to increase customer service and efficiency is one o...

In this paper a data warehouse framework that supports data warehouse evolution is presented. The framework is able to handle not only changes in data sources, but also direct changes in a data warehouse schema. In the framework the data warehouse versions are supported in the development environment as well as in reports in the user environment.

Data warehouse is considered as the core component of the modern decision support systems. Due to the major support of data warehouse in the daily transaction of an enterprise, the requirements for the design and the implementation of DW are dynamic and subjective. This dynamic nature of the data warehouse may reflect the evolution in the data warehouse. Data warehouse evolution may be focused ...

A Data warehouse has its own set of challenges for security. Organizational data warehouse are often very large systems. Once we have extracted and loaded the data from heterogeneous sources we need to integrated the data as it seems to similar but coming from the different sources. Validation is required at all the design phases of the development of the data warehouse. With the rapid developm...

Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analytical Processing (OLAP) operators such as drill-down and roll-up. The granularity levels which compose a dimension hierarchy are usually fixed during the design step of the data warehouse, according to the identified an...

Integration of multiple data sources is becoming increasingly important for enterprises that cooperate closely with their partners for e-commerce. OLAP enables analysts and decision makers fast access to various materialized views from data warehouses. However, many corporations have internal business applications deployed on different platforms. No standard solution for integration exists, exc...

In recent years, various researchers have discussed a two warehouse inventory system. This kind of system was first discussed by Hartely (1976) [10]. Hartely presented a basic two-warehouse model, in which the cost of transporting a unit from rented warehouse (RW) to own warehouse (OW) was not considered. Sarma (1983)[20] developed a deterministic inventory model with infinite replenishment rat...