An extensive review on warehouse operation planning problems is presented. The problems are classified according to the basic warehouse functions, i.e., receiving, storage, order picking, and shipping. The literature in each category is summarized with an emphasis on the characteristics of various decision support models and solution algorithms. The purpose is to provide a bridge between academ...

In Data Warehousing, Extraction-Transformation-Loading (ETL) are the key tasks that are responsible for the extraction of data from several sources, their cleansing, customization and insertion into data warehouse [10]. More specifically ETL tools are category of specialized tools with the task of dealing with data warehouse cleaning and loading problems. These task are very critical in every d...

Effective knowledge management (KM) enhances products, improves operational efficiency, speeds deployment, increases sales and profits, and creates customer satisfaction. Data warehousing provides an infrastructure that enables business to extract, and store vast amounts of corporate data. The purpose of data warehouse is to empower the knowledge workers with information that allows them to mak...

Today, automatic warehouse system gradually replaced manual labor, and played an important role in the production work, especially in the cargo handling work. It was important to research the timeconsuming and efficiency of stacker in the automated warehouse system. This paper researched the path of stacker in automated warehouse and calculated the operation time of stacker working path accordi...

Based on experience from applying the Common Warehouse Metamodel to metadata management at a large Swiss bank, the applicability of metadata reference models in complex application domains is analyzed. In order to explain the context of the case, the state-of-the-art of the Common Warehouse Metamodel and its application for data warehouse management are summarized. Based on the project experien...

Data warehouses tend to evolve, because of changes in data sources and business requirements of users. All these kinds of changes must be properly handled, therefore, data warehouse development is never-ending process. In this paper we propose the evolution-oriented user-centric data warehouse design, which on the one hand allows to manage data warehouse evolution automatically or semi-automati...

This article focuses on the development of a data warehouse to facilitate government decision-making on national human resources development and to provide public access to information. A set of key challenges was confronted in the development of the data warehouse including: the conceptualisation, design, implementation and management of the data warehouse system. The underlying questions that...

The integration of a Data Warehouse and a Decision Support System (DSS) can provide construction managers with sufficient information for decision making without interrupting daily work of an On-Line Transaction Processing system. In this paper, the concepts of the data warehouse, On-Line Analysis Processing and DSS are first reviewed. The method of creating a data warehouse is then shown, chan...

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...

This paper presents a mathematical model of inventory control problem for determining the minimum total cost of multi-item multi-objective inventory model with fuzzy estimated price dependent demand, fuzzy deterioration and possible constraints. Here, three constraints we have taken; they are warehouse space constraint, investment amount constraint and the third constraint is the percentage of ...