The Data Center

RESEARCH

The Data Center is a new initiative focused on the development of languages, technologies and standards for interoperable data and models. The research will focused on four parallel tracks

Near-term application of existing data standards for information synchronization and model integration.

Mid-term development of next generation languages and protocols designed to seamlessly link disparate data and analytic models.

Advanced research of novel technologies and processes to facilitate information visualization and data management.

Applications research of current, next-generation and advanced technologies to specific needs of engineering, industry and business.

The following link provides a brief introduction, An Overview of Semantic Modeling

FEATURED RESEARCH ARTICLES

1. Allen, S.J. and E.W. Schuster 2004. "Controlling the Risk for an Agricultural Harvest." Manufacturing & Service Operations Management 6:3.

Harvest risk is a new discipline within agriculture. The article puts forth a mathematical model for calculating risk. This approach will benefit from improved atmospheric sensing technology and connection to other mathematical models within agriculture.

    Additional Research Publications - Harvest Risk

2. Schuster, E. W., S.J. Allen, and M. P. D’Itri. "Capacitated Materials Requirements Planning and its Application in the Process Industries." Journal of Business Logistics 21:1, 2000.

Using real examples from the consumer goods industry, this article provides an example of how mathematical models can be integrated to achieve new capabilities in supply chain management.

    Additional Research Publications - Planning & Scheduling

3. Schuster, E.W., S.J. Allen, D.L. Brock, P. Kar 2005. "The Future of Connective Technology: Greater Integration Through Semantic Modeling," Cutter Business Intelligence Report 5:1.

A 10,000 word article, this work pulls together current thinking about building an interoperable system for mathematical modeling. The article includes discussion of prototypes.

    Additional Research Publications - Semantic Modeling

4. Schuster, E.W., C. Unahabhokha, and S.J. Allen 2005. "Master Production Schedule Stability Under Conditions of Finite Capacity," under review, the 2005 Logistics Educators' Conference.

This research details how two models can be combined to produce a new model of greater relevance. Specifically, the article deals with production scheduling in the consumer goods industry. One of the underlying principles of The Data Center is that models can be linked to form entirely new models with more capabilities.

    Additional Research Publications - Planning & Scheduling