Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 24 for “"technology operations"”.
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Modeling and cost analysis of global logistics and manufacturing system
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering; and, (S.M.)--Massachusetts Institute of Technology, Operations Research Center, 1997.
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Ensuring the quality of pedagogy through games in dental technology at a selected University of Technology.
… of requirements of the Degree of Doctor of Technology: Operations and Quality Management, Durban University of Technology, Durban, South Africa, 2014.
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The Evolution of the Chief Technology Officer and the Modernization of Technology in Education
<p>The role of technology in education has changed dramatically over the past 20 years. From the advent of individual workstations to networked labs to one-to-one technologies, computers have transformed how teachers and students consume information. School districts today support hundreds if not …
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A System Dynamics Model of the Operations, Maintenance and Disposal Costs of New Technologies for Ship Systems
Estimating the cost of new technology insertion into an existing (or new) operating environment is of great concern and interest for those entities that own and operate that technology. New technology has many cost requirements associated with it, for instance; design, manufacturing, operation, …
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Real-Time Calibration of Large-Scale Traffic Simulators: Achieving Efficiency Through the Use of Analytical Mode
Stochastic traffic simulators are widely used in the transportation community to model real-world urban road networks in applications ranging from real-time congestion routing and control to traffic state prediction. Online calibration of these simulators plays a crucial role in achieving high …
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Network flow problems and congestion games : complexity and approximation results
(cont.) We first address the complexity of finding an optimal minimum cost solution to a congestion game. We consider both network and general congestion games, and we examine several variants of the problem concerning the structure of the game and its associated cost functions. Many of the problem …
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Coordinated planning of air and space assets : an optimization and learning based approach
… results and improvements as compared to current operations is presented at the end.
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Robust model selection and outlier detection in linear regressions
In this thesis, we study the problems of robust model selection and outlier detection in linear regression. The results of data analysis based on linear regressions are highly sensitive to model choice and the existence of outliers in the data. This thesis aims to help researchers to choose the …
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Improving behavioral decision making in operations and food safety management
… with a more complex task in the context of operations management, and find evidence that the underlying mechanism for process to induce better performance is reduced difficulty and hence lowered mental effort involved in the task. Chapter 2 and 3 focus on supply-chain and governance measures …
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Robust estimation, regression and ranking with applications in portfolio optimization
Classical methods of maximum likelihood and least squares rely a great deal on the correctness of the model assumptions. Since these assumptions are only approximations of reality, many robust statistical methods have been developed to produce estimators that are robust against the deviation from …
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Essays on inventory, pricing and financial trading strategies
In a multi-product market, if one product stocks out, consumers may substitute to competing products. In this thesis, we use an axiomatic approach to characterize a price-dependent demand substitution rule, and provide a sufficient and necessary condition for demand models where our demand …
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Regression under a modern optimization lens
In the last twenty-five years (1990-2014), algorithmic advances in integer optimization combined with hardware improvements have resulted in an astonishing 200 billion factor speedup in solving mixed integer optimization (MIO) problems. The common mindset of MIO as theoretically elegant but …
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Prediction and optimization in school choice
In this thesis, I study how data-driven optimization can be used to improve school choice. In a typical school choice system, each student receives a set of school options, called the student's menu. Based on his/her menu, each student submits a preference ranking of schools in the menu. Based on …
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Combinatorial structures in online and convex optimization
Motivated by bottlenecks in algorithms across online and convex optimization, we consider three fundamental questions over combinatorial polytopes. First, we study the minimization of separable strictly convex functions over polyhedra. This problem is motivated by first-order optimization methods …
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Design and operation of a last mile transportation system
The Last Mile Problem refers to the provision of travel service from the nearest public transportation node to a home or office. Last Mile Transportation Systems (LMTS) are critical extensions to traditional public transit systems. We study the LMTS from three perspectives. The first part of this …
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Data-driven models for uncertainty and behavior
… uncertainty that is critical to power system operations. Using real data from the New England market, we illustrate how our proposed data-driven uncertainty sets can be used to build high-fidelity models of the demand for electricity, and that the resulting large-scale, mixed-integer adaptive …
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A tractable optimization framework for Air Traffic Flow Management addressing fairness, collaboration and stochasticity
We propose a tractable optimization framework for network Air Traffic Flow Management (ATFM) with an eye towards the future. The thesis addresses two issues in ATFM research: a) fairness and collaboration amongst airlines; and b) uncertainty inherent in capacity forecasts. A unifying attraction of …
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Algorithms for discrete, non-linear and robust optimization problems with applications in scheduling and service operations
… scheduling problem arises in many service operations, for example health care. For each job, we are given its minimum and maximum possible execution times. The objective is to find an appointment schedule for which the cost in the worst case scenario of the realization of the processing …
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Large scale queueing systems : asymptotics and insights
Parallel server queues are a family of stochastic models useful in a variety of applications, including service systems and telecommunication networks. A particular application that has received considerable attention in recent years is the analysis of call centers. A feature common to these models …
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