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Now showing items 11-20 of 91
Online and offline learning in operations
(Massachusetts Institute of Technology, 2020)
With the rapid advancement of information technology and accelerated development of data science, the importance of integrating data into decision-making has never been stronger. In this thesis, we propose data-driven ...
Improving farmers' and consumers' welfare in agricultural supply chains via data-driven analytics and modeling : from theory to practice
(Massachusetts Institute of Technology, 2020)
The upstream parts of the agricultural supply chain consists of millions of smallholder farmers who continue to suffer from extreme poverty. The first stream of research in this thesis focuses on online agri-platforms which ...
Data-driven dynamic optimization with auxiliary covariates
(Massachusetts Institute of Technology, 2019)
Optimization under uncertainty forms the foundation for many of the fundamental problems the operations research community seeks to solve. In this thesis, we develop and analyze algorithms that incorporate ideas from machine ...
Probabilistic models and optimization algorithms for large-scale transportation problems
(Massachusetts Institute of Technology, 2020)
This thesis tackles two major challenges of urban transportation optimization problems: (i) high-dimensionality and (ii) uncertainty in both demand and supply. These challenges are addressed from both modeling and algorithm ...
From data to decisions in healthcare : an optimization perspective
(Massachusetts Institute of Technology, 2017)
The past few decades have seen many methodological and technological advances in optimization, statistics, and machine learning. What is still not well understood is how to combine these tools to take data as inputs and ...
An analytics approach to problems in health care
(Massachusetts Institute of Technology, 2017)
Health care expenditures in the United States have been increasing at unsustainable rates for more than thirty years with no signs of abating. Decisions to accept or reject deceased-donor kidneys offered to patients on the ...
New applications in Revenue Management
(Massachusetts Institute of Technology, 2017)
Revenue Management (RM) is an area with important advances in theory and practice in the last thirty years. This thesis presents three different new applications in RM with a focus on: the firms' perspective, the government's ...
Assortment and inventory optimization : from predictive choice models to near-optimal algorithms
(Massachusetts Institute of Technology, 2017)
Finding optimal product offerings is a fundamental operational issue in modern retailing, exemplified by the development of recommendation systems and decision support tools. The challenge is that designing an accurate ...
Regulating exploration in multi-armed bandit problems with time patterns and dying arms
(Massachusetts Institute of Technology, 2018)
In retail, there are predictable yet dramatic time-dependent patterns in customer behavior, such as periodic changes in the number of visitors, or increases in customers just before major holidays. The standard paradigm ...
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 ...