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Now showing items 21-29 of 29
Data-driven optimization in power systems operations
(2018-06)
Today's power systems are large scale systems consisting of multiple generating stations, load zones (distributors or utilities) and very complex interconnected power transmission networks. One of the major issues for power ...
Sustainable energy management system framework for small and medium sized manufacturing facilities
(2017-07)
The general significance of the topic stems from the fact that energy consumption by the industrial manufacturing sector in the U.S. accounted for one third of total consumption in 2016 and is expected to grow more than ...
Polyhedral combinatorics, complexity and algorithms for k-clubs in graphs
(2012-07)
A k-club is a distance-based graph-theoretic generalization of clique, originally introduced to model cohesive subgroups in social network analysis. The k-clubs represent low diameter clusters in graphs and are suitable ...
Sensor-based monitoring and inspection of surface morphology in ultraprecision manufacturing processes
(2013-07)
This research proposes approaches for monitoring and inspection of surface morphology with respect to two ultraprecision/nanomanufacturing processes, namely, ultraprecision machining (UPM) and chemical mechanical planarization ...
Theory and practice of profound knowledge: An inquiry into quality and strategy management
(2018-05)
This research develops a theory of profound knowledge, derived from the quality dialog between Walter A. Shewhart and W. Edwards Deming. In 1992, Deming introduced his system of profound knowledge as the mechanism by which ...
Modeling inventory information visibility in supply chain networks
(2012-05)
Scope and Methods: The stock-out rate at a store has become a serious concern for firms in a supply chain network (SCN). This situation can lead to loss in customer good will and market share. Information sharing among the ...
Efficient techniques for statistical modeling of calibration and spatio-temporal systems using Gaussian processes
(2018-08)
Gaussian processes (GPs) are one of the most widely used tools in statistical modeling of various engineering systems. In this dissertation, we study three common types of problems in statistical modeling, i.e., prediction, ...
Data mining-based survival analysis and simulation modeling for lung transplant
(2010-12)
Scope and Method of Study: The objective of this research is to develop a decision support methodology for the lung transplant procedure by investigating the UNOS nation-wide dataset via data mining-based survival analysis ...
Study of control actions on a manufacturing system subject to a dynamic environment created by customers, suppliers and competitors
(2011-12)
The existence of multiple, overlapping manufacturing philosophies creates confusion among manufacturing system managers who seek to better control the performance of the manufacturing system when responding to changes in ...