The research objective of this award is to develop a new enterprise model for design, by expanding the scope of traditional design to include consideration of the enterprise within which the product will be manufactured, operated and recovered. The approach integrates a recycling/remanufacturing enterprise model with a product portfolio design model which is influenced by dynamically changing market demands. Data mining techniques will be fully exploited to satisfy the need for large data sets of information in real time. A decomposition-based design optimization model which integrates modeling of the design and the enterprise throughout the life cycle of products in multiple generations will be developed. The result will be a design methodology which will efficiently identify those products that have the potential of maximizing the enterprise utility by sharing platforms enabled by predictive data mining capabilities.
NSF Grant: "Addressing Competition, Dynamics and Uncertainty in Optimization Problems: Theory, Algorithms, Applications and Grid-Computing Extensions," PI Uday Shanbhag; Duration May 2007-April 2010.
NSF Grant: "Collaborative Research: Multivariable Modeling and Control of Clinical," PI Carolyn Beck; Duration May 2007-April 2010.
NSF Grant: "Tractable Approximation of Stochastic Programming via Robost Optimization," PI Xin Chen; Duration April 2007-March 2010.
NSF Grant: "Detection and Assessment of Wood Decay Using Guided Waves and nonlinear Acoustics," PI Henrique Reis; Duration August 2006-August 2010.
NSF Grant: "Synthesis of Security Protocols using the Theory of Supervisory Control of Discrete Event Dynamic Systems," PI Ramavarapu Sreenivs; Duration August 2006-August 2009.
NSF Grant: "SST Collaborative Research on Recovering on Recovering Product Value through Wireless," PI Deborah Thurston; Duration August 2006-August 2009.
NSF Grant "SGER: Collaborative Research: Applying Decision Theory to Machining Optimization," PI Ali Abbas; Duration August 2006-August 2009.
NSF Grant: "Normative Target Based Decision Making," PI Ali Abbas, Co-PI David Budescu; Duration May 2006-May 2009.
NSF Grant: "Assessing Joint Distributions with Isoprobability Contours," PI Ali Abbas, Co-PI David Budescu; Duration August 2006-August 2008.
Constructing a joint probability distribution is an essential step in decision analysis. Classic approaches use marginal-conditional assessments or the method of copulas. We present an alternative approach that uses isoprobability contours. This approach reduces the joint probability assessment into a one-dimensional assessment. Isoprobability contours can also be used to assess the dependence parameters between the variables of the decision situation or to verify the functional form of the chosen copula structure. We present several methods to assess isoprobability contours and work through several examples to illustrate the approach.
AFOSR: "Supermultiplicative Speedups from Integrated Probabilistic Model Building and Multimodal Efficiency Enhancement," PI David Goldberg; Duration: January 2006-December 2008.
AFOSR: "Enhancing Command Communication and Innovation with SAIN: Semantics, Adaption, and Influence on Networked Teams," PI David Goldberg; Duration: January 2006-December 2008
NSF Grant: "Applying Decision Theory to Machining Optimization," PI Ali Abbas, Tony Schmitz
The purpose of this research is to study machining optimization in the presence of uncertainty. This will enable the mathematical rigor of decision theory to be applied to milling optimization. Although both disciplines are well-established, the intersection of the two has not been previously realized.
