Browsing Management - Ph.D. / Sc.D. by Title
Now showing items 1-20 of 775
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Academic adaptation : historical study of a civil engineering department in a research-oriented university.
(Massachusetts Institute of Technology, 1978) -
Accruals and managerial operating decisions over the firm life cycle
(Massachusetts Institute of Technology, 2006)This paper explores how accruals capture managerial operating decisions that evolve over a firm's life cycle. I argue that growing firms face different operating environments and have fundamentally different accruals ... -
Adaptation to environmental shocks : internationalization responses to market liberalization
(Massachusetts Institute of Technology, 1997) -
Adaptive optimization problems under uncertainty with limited feedback
(Massachusetts Institute of Technology, 2017)This thesis is concerned with the design and analysis of new algorithms for sequential optimization problems with limited feedback on the outcomes of alternatives when the environment is not perfectly known in advance and ... -
Adaptive robust optimization with applications in inventory and revenue management
(Massachusetts Institute of Technology, 2010)In this thesis, we examine a recent paradigm for solving dynamic optimization problems under uncertainty, whereby one considers decisions that depend directly on the sequence of observed disturbances. The resulting policies, ... -
Advanced mixed-integer programming formulations : methodology, computation, and application
(Massachusetts Institute of Technology, 2018)This thesis introduces systematic ways to use mixed-integer programming (MIP) to solve difficult nonconvex optimization problems arising in application areas as varied as operations, robotics, power systems, and machine ... -
Advances in airline revenue management and pricing
(Massachusetts Institute of Technology, 2003)We propose new models and optimization methods for airline revenue management and pricing. In the first part of this thesis, we study the dynamic inventory control problem for a single flight under imperfect market ... -
Advances in data-driven models for transportation
(Massachusetts Institute of Technology, 2019)With the rising popularity of ride-sharing and alternative modes of transportation, there has been a renewed interest in transit planning to improve service quality and stem declining ridership. However, it often takes ... -
Advances in electric power systems : robustness, adaptability, and fairness
(Massachusetts Institute of Technology, 2011)The electricity industry has been experiencing fundamental changes over the past decade. Two of the arguably most significant driving forces are the integration of renewable energy resources into the electric power system ... -
Advances in robust and adaptive optimization : algorithms, software, and insights
(Massachusetts Institute of Technology, 2016)Optimization in the presence of uncertainty is at the heart of operations research. There are many approaches to modeling the nature of this uncertainty, but this thesis focuses on developing new algorithms, software, and ... -
Affecting U.S. education through assessment : new tools to discover student understanding
(Massachusetts Institute of Technology, 2001)We may have a serious problem with education in the United States. However, the literature suggests one can arrive at differing conclusions about the efficacy of the American educational system depending on what we measure, ... -
Air traffic flow management at airports : a unified optimization approach
(Massachusetts Institute of Technology, 2012)The cost of air traffic delays is well documented, and furthermore, it is known that the significant proportion of delays is incurred at airports. Much of the air traffic flow management literature focuses on traffic flows ... -
Airline scheduling and air traffic control : incorporating uncertainty and passenger and airline preferences
(Massachusetts Institute of Technology, 2017)The global airline industry is a multi-stakeholder stochastic system whose performance is the outcome of complex interactions between its multiple decisions-makers under a high degree of uncertainty. Inadequate understanding ... -
Airline yield management in a dynamic network environment
(Massachusetts Institute of Technology, 1995) -
An algorithm for the resource constrained project scheduling problem
(Massachusetts Institute of Technology, 1967) -
Algorithmic advancements in discrete optimization : applications to machine learning and healthcare operations
(Massachusetts Institute of Technology, 2020)In the next ten years, hospitals will operate like air-traffic control centers whose role is to coordinate care across multiple facilities. Consequently, the future of hospital operations will have three salient characteristics. ... -
Algorithmic and game-theoretic perspectives on scheduling
(Massachusetts Institute of Technology, 2008)(cont.) Second, for almost all 0-1 bipartite instances, we give a lower bound on the integrality gap of various linear programming relaxations of this problem. Finally, we show that for almost all 0-1 bipartite instances, ... -
Algorithmic issues in queueing systems and combinatorial counting problems
(Massachusetts Institute of Technology, 2008)(cont.) However, these randomized algorithms can never provide proven upper or lower bounds on the number of objects they are counting, but can only give probabilistic estimates. We propose a set of deterministic algorithms ... -
Algorithms and hardness results for the jump number problem, the joint replenishment problem, and the optimal clustering of frequency-constrained maintenance jobs
(Massachusetts Institute of Technology, 2012)In the first part of this thesis we present a new, geometric interpretation of the jump number problem on 2-dimensional 2-colorable (2D2C) partial order. We show that the jump number of a 2D2C poset is equivalent to the ... -
Algorithms for discrete, non-linear and robust optimization problems with applications in scheduling and service operations
(Massachusetts Institute of Technology, 2011)This thesis presents efficient algorithms that give optimal or near-optimal solutions for problems with non-linear objective functions that arise in discrete, continuous and robust optimization. First, we present a general ...
