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Browsing by Subject "Operations research"
Now showing items 1-20 of 31
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A Workload Model for Designing & Staffing Future Transportation Network Operations
(2019)Across multiple industries (e.g., railroads, airlines, on-demand air taxi services), there are growing investments in future automated transportation systems. Even with these investments, there are still significant human-systems ... -
Data-driven Decision Making with Dynamic Learning under Uncertainty: Theory and Applications
(2022)Digital transformation is changing the landscape of business and sparking waves of innovation, calling for advanced big data analytics and artificial intelligence techniques. To survive from intensified and rapidly changing ... -
Decision Models for Corporate Sustainability
(2013)This dissertation explores decision problems faced by organizations willing to address or support the incorporation of sustainability aspects on their "business as usual" activities. We study to specific problems. First, ... -
Design and Performance Prediction for Supply Chain Systems with Graphical Structures
(2022)This dissertation studies the optimal design and performance evaluation of large-scale supply chain systems with graphical structures such as assemble-to-order (ATO) systems and e-commerce fulfillment networks. It consists ... -
Designing Subscription Services with Imperfect Information and Dynamic Learning
(2021)This dissertation studies how a subscription service provider offers contracts to customers without full information on their preferences. The first essay studies a mechanism design problem for business interruption (BI) ... -
Distributed Optimization Algorithms for Networked Systems
(2015)Distributed optimization methods allow us to decompose an optimization probleminto smaller, more manageable subproblems that are solved in parallel. For thisreason, they are widely used to solve large-scale problems arising ... -
Effective Heuristics for Dynamic Pricing and Scheduling Problems with High Dimensionality
(2019)High-dimensional state spaces and/or decision spaces sometimes arise when sequential operational decisions need to be made dynamically in reflection of complex system information. To tackle the "curse of dimensionality," ... -
Efficient Design of Electricity Market Clearing Mechanisms with Increasing Levels of Renewable Generation and Carbon Price
(2017)Increased use of wind energy in electricity systems can help reduce green house gas emissions and enhance energy security. However, the traditional scheduling and dispatching processes used to ensure the cost-effective and ... -
End-to-End Outpatient Clinic Modeling for Performance Optimization and Scheduling in Health Care Service
(2018)Decisions in health care must often be made under inherent uncertainty; from treating patients, to provisioning medical devices, to operational decisions at an outpatient clinic. The outcomes depend on the health of patients ... -
Essays in Empirical Operations Management: Bayesian Learning of Service Quality and Structural Estimation of Complementary Product Pricing and Inventory Management
(2016)This dissertation contributes to the rapidly growing empirical research area in the field of operations management. It contains two essays, tackling two different sets of operations management questions which are motivated ... -
Essays on Online Decisions, Model Uncertainty and Learning
(2017)This dissertation examines optimal solutions in complex decision problems with one or more of the following components: online decisions, model uncertainty and learning. The first model studies the problem of online selection ... -
Essays on Optimal Control of Dynamic Systems with Learning
(2013)This dissertation studies the optimal control of two different dynamic systems with learning: (i) diagnostic service systems, and (ii) green incentive policy design. In both cases, analytical models have been developed to ... -
Essays on Service Operations with Strategic Customers and Innovative Business Models
(2018)This dissertation studies operations management problems in service operations and supply chains, analyzing the impact of strategic customers and disruptive technologies. We investigate three problems, and insights from ... -
Global Supply Chain Management with Advanced Information and Production Technologies
(2017)Advanced information and production technologies are transforming the ways products can be produced and delivered, and hence present tremendous opportunities to reshape the global supply chains. This dissertation examines ... -
Heuristics for Inventory Systems Based on Quadratic Approximation of L-Natural-Convex Value Functions
(2014)We propose an approximation scheme for single-product periodic-review inventory systems with L-natural-convex structure. We lay out three well-studied inventory models, namely the lost-sales system, the perishable inventory ... -
Impact of Prices on Inventory Systems: Theory and Emerging Issues
(2013)Firms' inventory or production decisions are influenced by a variety of factors, including both the selling price of the end products and the purchasing cost of raw materials. In most cases, there is a strong connection ... -
INFORMATION DESIGN IN CONTROLLING EPIDEMICS
(2023)This dissertation studies the use of information design to reduce the spread of an infection. In particular, I investigate whether central planners (senders) with more information can leverage the information advantage to ... -
Inventory Management and Supply Chain Finance: Theory and Empirics
(2012)A payment scheme specifies when payments are made between firms in a supply chain. It has direct implications on how supply chain inventory is financed and managed. Longer supply chains due to globalization and the recent ... -
Matching in networks: fundamental limits and efficient algorithms
(2023)In recent years, there has been an explosion of online platforms and E-commerce, which generate massive amounts of network data. For example, a friend link on Facebook represents a connection between users, and a rating ... -
Online Algorithms with Learned Predictions
(2022)Optimization under uncertainty is a classic theme in the fields of algorithm design and machine learning. The traditional design of online algorithms have however proved to be insufficient for practical instances, since ...
