The effective analysis and understanding of huge amount of mobility data have been a hot research topic in the last few years. In this paper, we introduce Mob-Warehouse, a Trajectory Data Warehouse which goes a step further to the state of the art on mobility analysis since it models trajectories enriched with semantics. The unit of movement is the (spatio-temporal) point endowed with several s...

Jacobson et al. [JKSH13] hypothesized that the local coherency of the generalized winding number function proposed in that work could be used to correctly determine consistent facet orientations in polygon meshes. We report on an approach to consistently orienting facets in polygon meshes by minimizing the Dirichlet energy of generalized winding numbers. While the energy can be concisely formul...

In this chapter, the two-warehouse inventory problem is considered for deteriorating items with constant demand rate and shortages under inflationary conditions. In today’s unstable global economy, the effects of inflation and time value of money cannot be ignored as it increases the cost of goods. To safeguard from the rising prices, during the inflation regime, the organization prefers to kee...

The Keck Virtual Factory Lab (KVFL) was created to be a platform for computationally-based research on industrial logistics systems, and currently engages nine faculty and over a dozen graduate students. Initially, the KVFL has focused on warehousing and the development of integrated computational tools to support warehouse design and optimization, and warehousing-related courses. Recent collab...

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 ...

A data warehouse is an essential component to the decision support system. The traditional data warehouse provides only numeric and character data analysis. But as information technologies progress, complex data such as semi-structured and unstructured data become vastly used. Developing new data warehouse technologies to accommodate the demand of integrating complex data is important. In this ...

I will start this treatise with a history of two major themes in data integration. In my opinion, the topic began with the major retailers in the 1990s consolidating their sales data into a data warehouse. To do this they needed to extract data from in-store sales systems, transform it into a predefined common representation (think of this as a global schema), and then load it into a data wareh...

Warehouse location selection is a multi-criteria decision problem including both quantitative and qualitative criteria and has a strategic importance for many companies. The conventional approaches to warehouse location selection problem tend to be less effective in dealing with the imprecise or vague nature of the linguistic assessment. Under many situations, the values of the qualitative crit...

This paper proposes the design of Star Schema of a Data Warehouse and conversion to its equivalent Graph based Multi Dimensional Data Model (GMDDM Model). Design of Star Schema facilitates in constructing Graph based Multi Dimensional Data Model. The GMDDM model defines a set of graph based constructs that are used to specify the conceptual level design of Data Warehouse. Data warehouse represe...

This paper considers a two-echelon distribution system which consists of a single warehouse serving N (possibly non-identical) retailers that face discrete stochastic demand of the customers. The warehouse orders from an exogenous supplier with ample stock. Orders arrive at the warehouse after a fixed leadtime. The warehouse satisfies, if possible, the replenishment requests from the retailers....