Managers at tactical and operational levels in many organizations frequently encounter similar decision problems. Decisions taken by different managers for a given problem in an organization vary due to differences in their decision making styles and/or subjectivity. Discovering classes or categories of decision makers with similar decision making styles can contribute towards organizational le...

In Business Intelligence systems, users interact with data warehouses by formulating OLAP queries aimed at exploring multidimensional data cubes. Being able to predict the most likely next queries would provide a way to recommend interesting queries to users on the one hand, and could improve the efficiency of OLAP sessions on the other. In particular, query recommendation would proactively gui...

Data warehouse store and provide access to large volume of historical data supporting the strategic decisions of organisations. Data warehouse is based on a multidimensional model which allow to express user’s needs for supporting the decision making process. Since it is estimated that 80% of data used for decision making has a spatial or location component [1, 2], spatial data have been widely...

Warehouse location is one of the most important logistics activities. The selection of the most effective warehousing mode has become a strategic study. This paper will introduce the factors influencing the decision process in selecting the warehouse locations based on gravity model approach and analytic hierarchy process. In the end, the author will summarize the methods and the results.

Large, longitudinal, multivariate population surveys are increasingly common. Many analytic methods inspect changing rates of individual outcomes but ignore heterogeneous subpopulations that may exist. In this document I propose two analytical methods which extend group-based trajectory models to multivariate outcomes. I use group-based longitudinal finite mixture models (i.e., developmental tr...

The concept of multidimensional modeling has proven extremely successful in the area of Online Analytical Processing (OLAP) as one of many applications running on top of a data warehouse installation. Although many different modeling techniques expressed in extended multidimensional data models were proposed in the recent past, we feel that many hot issues are not properly reflected. In this pa...

Representing vague places is a challenge in information systems. There are several approaches, each differing in aspects such as the underlying assumptions they make about space, their data models and reasoning abilities. Despite this there is no general solution and the question of which method to select is a matter of fitness for purpose. So far no methodology exists to support choosing the a...

In the following we present a model for ELDRE, simpler than the one proposed in Chapter 4. The purpose is to get reasonable results starting from few physical parameters. References are quite detailed because the work is based on specific results found in the past. In Section 5.1 the main assumptions are explained and the mathematical model is presented. Following Sections investigate the time-...

The characteristics of a Zinc/Air (Zn/Air) primary cell are discussed. In addition, current technologies and the corresponding electrical performance are introduced. The basic principles of operation of a Zn/Air primary cell are discussed, focusing on the anode, cathode, and electrolyte. Basic kinetic and transport expressions are developed for the two main components of the cell: the anode and...