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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
Proposed Thesis Topics, 2005 - 2006
A list of topics for Master of Engineering and Master of Science theses.
In addition, we have produced research prospectuses for master's of engineering in logistics (MLog) students on the following topics:
Improved New Product Forecasting through Visualization of Spatial Diffusion
Analysis of the Petroleum Industry Supply Chain
GRADUATE STUDENT RESEARCH PROJECTS, 2004 - 2005
"User Design and Information Visualization"
Chaitra Chandrasekhar - Master of Engineering in Electrical Engineering and Computer Science, '05
Chaitra's Background
"Integrating RFID Data with Business Process Applications"
Henry Chen - Master of Engineering in Logistics, '05
Henry's Background
Real-Time Eventing Architecture on RFID and Sensor
Kevin Emery - Master of Engineering in Electrical Engineering and Computer Science, '05
"Mitigating Container Security Risk Using Real-Time Monitoring with Active RFID and Sensors"
Adam Schlesinger - Master of Engineering in Logistics, '05.
Adam's Personal Web Site
Initial manuscript of "M" posted
Members of the University Community are welcome to join this group
Copyright 2005 MIT. All Rights Reserved.