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Graduate Students
PhD Graduates (2000 on)

Term 

Graduate

Chair

Title of Dissertation

Summer 2024 Harun Avci Barry Nelson Simulation Optimization: Cache and Credit for Parallel Ranking & Selection, and Dice and Slice for High-dimensional Problems
Summer 2024 Nazlican Arslan David Morton Data-driven Decision Making under Uncertainty: COVID-19 Staged-Alert Systems and Multistage Stochastic Optimization
Summer 2024 Shima Dezfulian Andreas Wächter Practical Algorithms for Derivative-Free and Noisy Nonlinear Optimization
Summer 2024 Xiaochin Niu Ermin Wei Optimization and Statistical Inference in Networks
Summer 2024 Akhil Singla Seyed Iravani  Design and Control Principles for Supply Chains and Service Operations
Summer 2024 Andrea Trevino Gavito Diego Klabjan Topics in Artificial Intelligence
Summer 2024 Xingyu Wang Chang-Han Rhee Rare-Event Analysis for Heavy-Tailed Systems with Applications in Simulation and Statistical Learning
Summer 2024 Mengfan Xu Diego Klabjan Multi-armed Bandit with Several Agents and Objectives
Summer 2024 Suraj Yerramilli Daniel Apley Selected Topics in Gaussian Process Modeling
Spring 2024 Linchuan Wei Simge Küçükyavuz Mixed-integer Convex Quadratic Programs with Indicators: Theory, Algorithms, and Applications
Winter 2024 Alex Cao Diego Klabjan Generalizations of the Classification Task
Winter 2024 Eugene Wickett Karen Smilowitz Post-Market Surveillance: Using Supply-Chain Information to Improve Regulatory Actions in Medical Product Quality Assurance
Winter 2024 Yayu Zhou Edward Malthouse Optimizing Customer Lifetime Value in the Digital News Era: Strategies for Sustainable Revenue Models in Local Newspapers
Fall 2023 Moses Chan Matthew Plumlee High-dimensional Gaussian Process Methods for Uncertainty Quantification
Fall 2023 Niloufar Izandinia Andreas Wächter Multi-Objective Mixed-Integer Nonlinear Optimization Applications
Summer 2023 Mariana Escallon Barrios Karen Smilowitz Closing the supply-demand gap: Scheduling policies for volunteer organizations
Summer 2023 Xinyi Luo Andreas Wächter Efficient Second-Order Methods for Second-Order Cone Programs and Continuous Nonlinear Two-Stage Optimization Problems
Summer 2023 Melody Xuan Jorge Nocedal Methods for Derivative-Free Optimization with Applications in Machine Learning
Summer 2023 Kim Yu Simge Küçükyavuz Generalized Submodular Optimization: Theory, Algorithms and Applications
Summer 2023 Shengtong Zhang Daniel Apley Interpretable Machine Learning with Applications to Computational Materials Science
Summer 2023 Yufeng Zhang Zhaoran Wang Essay on Foundation Models and Reinforcement Learning
Spring 2023 Sinan Seymen Edward Malthouse Application of Constrained Optimization Models to Recommender Systems
Winter 2022 Yiming Peng Vadim Linetsky Statistical Learning for Quantitative Finance
Summer 2022 Qi Cai Zhaoran Wang Provably Efficient Reinforcement Learning
Summer 2022 Zuyue Fu Zhaoran Wang On the Optimality and Complexity of Reinforcement Learning
Summer 2022 Boyang Shang Daniel Apley Space-filling Designed Sampling from Databases
Summer 2022 Lingxiao Wang Zhaoran Wang On the Theory of Deep Reinforcement Learning: Global Convergence and Sample Efficiency
Summer 2022 Yian Yin Noshir Contractor Essays on the Science of Science and Innovation
Spring 2022 Ghani Ebrahimi Diego Klabjan Topics in Deep Learning and Deep Reinforcement Learning
Spring 2022 Linda Pei Barry Nelson A Novel Parallel Adaptive Survivor Selection Framework for Large-Scale Simulation Optimization
Winter 2021 Muchen Zhao Vadim Linetsky Statistical Methods in Financial Markets
Summer 2021 Esmat Sangari Seyed Iravani, Izak Duenyas  Pricing and Price-Matching Strategies in Omni-Channel Retail Supply Chains
Summer 2021 Shenyinying Tu Andreas Wäcther, Ermin Wei Two-Stage Decomposition Algorithms and Their Application to Optimal Power Flow Problems
Summer 2021 Yuchen Xie Jorge Nocedal Methods for Nonlinear and Noisy Optimization

Spring 2021

Pol Boada-Collado

Karen Smilowitz, Sunil Chopra

Supply Chain Operations with Partial Demand Information and Customer Behavior

Fall 2020

Mark Semelhago

Barry Nelson, Eunhye Song, Andreas Wäcther

Computational Aspects of Discrete Optimization via Simulation with Gaussian Markov Random Fields

Fall 2020

Ozge Surer

Edward Malthouse, Daniel Apley

Predictive Models for Group-Structured Regression and Classification Problems

Summer 2020

Daniel Duque Villarreal

David Morton

Risk-averse and Distributionally Robust Multistage Stochastic Optimization

Summer 2020

Eojin Han

Omid Nohadani, Chaithanya Bandi

Leveraging Structure of Uncertainty for Adaptive Policies in Multistage Decision-Making

Summer 2020

Xi Jiang

Barry Nelson

Reducing and Measuring Input Model Risk in Stochastic Simulation

Summer 2020

Alejandra Pena-Ordieres

Andreas Wäcther

Nonlinear Programming Approximations of Chance Constraints

Summer 2020

Lun Yu

Seyed Iravani, Ohad Perry

Performance Approximation and Scheduling Control for Large-Scale Queueing Systems

Summer 2020

Kungang Zhang

Daniel Apley

Score-based Concept Drift Monitoring and Diagnosis with Applications to Microstructure Nonstationarity Analysis

Spring 2020

Cheolmin Kim

Diego Klabjan

Optimization Methods for Scale Invariant Problems in Machine Learning

Spring 2020

Jaehoon Koo

Diego Klabjan

Topics in Deep Learning Classification

Spring 2020

Liwei Zeng

Karen Smilowitz, Sunil Chopra

Leveraging Structure in Public School Transportation Problems

Spring 2020

Yi Zhu

Jing Dong, Barry Nelson

Asymptotic Uncertainty Quantification for Models and Its Application in Efficient Learning

Winter 2020

Kartikey Sharma

Omid Nohadani

Optimization under Variable Uncertainty

Fall 2019

Gokce Kahvecioglu Askin

David Morton

Optimization for Clustering on a Graph and Dispatching an Energy System with Storage under Uncertainty

Fall 2019

Fengqiao Luo

Sanjay Mehrotra

Algorithms and Properties of Distributionally Robust Optimization and Its Generalization

Summer 2019

Anh Bui

Daniel Apley

Statistical Process Control of Stochastic Textured Surfaces

Summer 2019

Nastaran Shojaei

Omid Nohadani

On the Disconnect Between the Modelling and Evaluation in Radiation

Summer 2019

Haoxiang Yang

David Morton

Decomposing Optimization Problems Under Stochastic Disruptions

Spring 2019

Vijaya Bollapragada

Jorge Nocedal

Methods for Deterministic and Stochastic Optimization

Spring 2019

Collin Erickson

Bruce Ankenman

Adaptive Computer Experiments for Metamodeling

Spring 2019

Jacob Mays

David Morton

Pricing Mechanisms in Competitive Electricity Markets

Fall 2018

Sina Ansari

Seyed  Iravani

Essays on Improving System's Throughput, Customer's Wait-time and Customer's Satisfaction in Service Operations

Summer 2018

Francisco Jara-Moroni

Andreas Wächter

Methods for Linear Programs with Complementarity Constraints

Summer 2018

Chenguang Wu

Ohad Perry

Queueing Models for Service Systems with Dependencies

Summer 2018

Ran Yang

Jiping Wang

Improving the accuracy of uncertainty quantification in simulation-based modeling problems

Spring 2018

Mehmet Basdere

Karen Smilowitz

Models and Approaches to Multiobjective Arc Tour Problems with an Application to Marathon Course Design

Spring 2018

Alexandros Nathan

Noshir Contractor & Diego Klabjan

Essays in Machine Learning, Social Networks and Marketing

Spring 2018

Jacqueline Ng

Noshir Contractor

Teams and Organizing in the Digital Age: How Team Networks Form and Why They Perform

Winter 2018

Baiyang Wang

Diego Klabjan

Selected Topics in Deep Learning and Text Mining

Winter 2018

Papis Wongchaisuwat

Diego Klabjan

Topics in Document Classification

Fall 2017

Vikram Kilambi

Sanjay Mehrotra

Applications of Operations Research in Solid Organ Transplantation and Random Utility Choice Models

Fall 2017

Joseph Warfel

Barry Nelson

Operations Management of Food Recovery Programs

Fall 2017

Kezban Yagci

Benjamin Armbruster

Operations Research Techniques in Data Limited Environments: Applications in Public Services

Summer 2017

Yutian Nie

Vadim Linetsky

Term Structure Modeling at the Zero Lower Bound

Summer 2017

Aaron Schecter

Noshir Contractor

It's About Time: Theorizing the Antecedents and Outcomes of Dynamic Processes in Teams and Multiteam Systems

Summer 2017

Yaxiong Zeng

Diego Klabjan

Machine Learning in Option Markets

Spring 2017

Likuan Qin

Vadim Linetsky

The Recovery Theorem and Long-Term Factorization of the Pricing Kernel

Spring 2017

Eunhye Song

Barry Nelson

Incorporating Input Model Risk in Simulation Optimization and Uncertainty Quantification

Spring 2017

Nitish Shirish Keskar

Andreas Wächter

Second-Order Methods for Stochastic and Nonsmooth Optimization

Spring 2017

Yujing Lin

Barry Nelson

Simulation Analytics for Input Uncertainty & Virtual Statistics

Winter 2017

Mingyang Di

Diego Klabjan

Making Difference with Optimization and Big Data: Topics in Power Grid Visualization, Airline Fleet Assignment and Sports Play Retrieval

Fall 2016

Ben Feng

Jeremy Staum

Green Simulation: Reusing the Output of Repeated Experiments

Summer 2016

Chen Jin

Seyed Iravani

Observational Learning and Its Impact in Service Operations: Theory and Experiment

Summer 2016

Imry Rosenbaum

Jeremy Staum

Multi-Level Monte Carlo and Database Monte Carlo for Stochastic Simulation Meta-modeling

Spring 2016

Ekkehard Beck

Benjamin Armbruster

Improving HIV Models with Better Analysis and Simulation of Dynamic Networks

Winter 2016

Liwen Ouyang

Daniel Apley

An Optimal Design-of-Experiment-Based Batch Sampling from Databases

Fall 2015

Stefan Solntsev

Jorge Nocedal

Methods for Nonsmooth and Stochastic Optimization for Machine Learning

Summer 2015

Brittany Bogle

Sanjay Mehrotra

Accurate Lifetime Risk Assessment of Sudden Cardiac Death and Methods for Generating Synthetic Data for Protecting Privacy Using Optimization

Summer 2015

Changhyeok Lee

Sanjay Mehrotra

Power System Operation and Planning under Uncertainty with Robust Optimization

Summer 2015

Zhenyu Shi

Daniel Apley

Manifold Learning for Discovering the Nature of Variation in Nonlinear Profile Data

Spring 2015

Luis De La Torre

Irina Dolinskaya

Operational Models in Humanitarian and Non-Profit Logistics

Spring 2015

Samantha Meyer

Paul Leonardi

Integrating Social and Resource Networks: Resource Acquisition and Strong Ties in Primary School Systems

Spring 2015

Young Woong Park

Diego Klabjan

Optimization for Regression, PCA, and SVM: Optimality and Scalability

Fall 2014

Sophia Sullivan

Noshir Contractor

The Role of Leadership in Facilitating Innovation in Multiteam Systems

Fall 2014

Timothy Sweda

Diego Klabjan

Selected Topics on Decision Making for Electric Vehicles

Fall 2014

Qiuping Yu

Seyed Iravani & Achal Bassamboo

Delay Information in Services: Theory and Empirics

Fall 2014

Tingting Jiang

Seyed Iravani

Essays in operations management

Fall 2014

Alvaro Maggiar

Irina Dolinskaya

Optimization of Smoothed Functionals and Applications of Nonlinear Programming to Fastest Path Finding for Vehicles in Anisotropic Media

Summer 2014

Kibaek Kim

Sanjay Mehrotra

Predictive Modeling and Stochastic Optimization in Healthcare

Summer 2014

Peter Salemi

Jeremy Staum

Gaussian Markov Random Fields and Moving Least Squares for Metamodeling and Optimization in Stochastic Simulation

Spring 2014

Weitao Duan

Bruce Ankenman

Batch Sequential Experimental Design and Its Application in Software Testing

Spring 2014

Yue Geng

Diego Klabjan

Topics in Sustainability and Logistics

Spring 2014

Wei Xie

Barry Nelson

Statistical Uncertainty Analysis for Stochastic Simulation

Spring 2014

He Zhang

Sanjay Mehrotra

Distributionally Robust Optimization Models and Process Mining in Healthcare Systems

Fall 2013

Qifeng Shao

Seyed Iravani

Dynamic Policies in Production Systems: The Effects of Feedback Information and Flexibility of Workers

Fall 2013

Ning Zhang

Daniel Apley

Fractional Brownian Fields for Response Surface Metamodeling

Fall 2013

Ashley Davis

Sanjay Mehrotra

Addressing Geographic Inequities in Kidney Transplantation

Summer 2013

Jared Erickson

Robert Fourer

Detection and Transformation of Objective and Constraint Structures for Optimization Algorithms

Summer 2013

Dongjae Lim

Vadim Linetsky

Early Exercise of Options in Fixed Income Markets: An Eigenfunction Expansion Approach

Spring 2013

Gillian Chin

Jorge Nocedal

Nonlinear Optimization Algorithms for Large Scale Machine Learning

Spring 2013

Zhe Li

Gordon Hazen

Stochastic Game Models for Organ Acceptance in Liver Transplant

Spring 2013

Aaron Lucas

Benjamin Armbruster

Three Applications Informing Domestic and International HIV Policy Using Mathematical Modeling

Spring 2013

Chan Seng Pun

Diego Klabjan

Analytics for Airline Revenue Management and Irregular Operations

Winter 2013

Jinxiang Pei

Diego Klabjan

Essays on Auctions under Shareability and Externality

Fall 2012

Joon-Ku Im

Daniel Apley

Understanding Product and Process Variation with Complex Data

Fall 2012

Yan Jiang

Diego Klabjan

Inventory Management with Order Errors, Optimal Investment to Reduce Emissions, and Generalized Cluster-wise Linear Regression

Summer 2012

Kenan Arifoglu

Seyed Iravani

Supply Chain Management in the Presence of Strategic Consumers and Consumption Externalities

Summer 2012

Xi Chen

Barry Nelson

Enhancing Stochastic Kriging Metamodels for Computer Simulation

Summer 2012

Neda Ebrahim Khanjari

Seyed Iravani

Information Sharing in Supply Chain

Summer 2012

Steven Golbeck

Vadim Linetsky

Stochastic Models in Asset-Backed Financing

Summer 2012

Kuo-Ling Huang

Sanjay Mehrotra

Improving Solvability of Continuous and Mixed Integer Convex Optimization Problems Using Interior Approaches

Summer 2012

Linlin Li

Seyed Iravani

Capacity and Quality Contract Design in Supply Chain

Summer 2012

Mengxiao Zhu

Noshir Contractor

Assembly of Successful Project Teams: Insights from the Study of Massively Multiplayer Online Role-Playing Games (MMORPGs)

Spring 2012

Lingfei Li

Vadim Linetsky

Stochastic Modeling in Commodity Markets and Optimal Stopping of Symmetric Markov Processes

Winter 2012

Michael Huang

Karen Smilowitz

Last Mile Relief Routing

Fall 2011

Luis Chavez Bedoya Mercado

 Jeremy Staum & John Birge

Portfolio Optimization under Generalized Hyperbolic Distribution of Returns and Exponential Utility

Fall 2011

Jian Hu

Sanjay Mehrotra

Concepts, Analyses, and Applications of Multivariate Stochastic Dominance

Fall 2011

Soonhui Lee

Tito Homem de Mello & Barry Nelson

Modeling Issue and Algorithms in a certain class of optimization problems and improving capacity utilization for carriers

Fall 2011

Yunpeng Sun

Vadim Linetsky

Efficient Simulation and Applications in Finance

Spring 2011

Jonathan Turner

Mark Dasin

Overcoming Obstacles to Resident-Patient Continuity of Care and Equitable Allocations of Surgical Experience

Winter 2011

Xuemei Shan

Daniel Apley

Optimal Identification and Visualization of Variation Patterns.

Winter 2011

Mustafa Hayri Tongarlak

Barry Nelson

Design of Experiments and Metamodeling for Stochastic Simulation

Fall 2010

Ming Liu

 Jeremy Staum

Efficient Simulation in Financial Risk Management

Summer 2010

Mustafa Nuri Sendil

Sunil Chopra

Impact of Stair Step Incentives on Sales Variance

Spring 2010

Bilal Gokpinar

Wallace Hopp

Collaboration and Performance in White-collar Work

Spring 2010

Hai Lan

 Jeremy Staum

Two-Level Simulation of Expected Shortfall: Confidence Intervals, Efficient Simulation Procedures, and High-Performance Computing

Fall 2009

Jie Xu

Barry Nelson

Industrial Strength Theory and Algorithms for Discrete Optimization via Simulation and The Impact of Supply Chain Structure on Product Line Architecture

Fall 2009

Lu Xu

Barry Nelson & Wallace Hopp

Lifecycle Planning and Simulation-based Optimization in Integrated Supply Chains

Spring 2009

Ira Gerhardt

Barry Nelson

Stochastic Modeling and Simulation of Nonstationary Queueing Networks Using Markovian Processes

Spring 2009

Michael Lim

Mark Daskin

Supply Chain Network Design in the Presence of Disruption Risks

Spring 2009

Zigeng Liu

Seyed Iravani

Risk Mitigation of Supply Chain Disruptions

Spring 2009

Rafael Mendoza-Arriaga

Vadim Linetsky

Unified Credit-Equity Modeling

Fall 2008

Souvik Banerjee

Wallace Hopp

Strategic R&D and Capital Budgeting Under Uncertainty

Fall 2008

Evren Baysal

 Jeremy Staum

Advances in Risk Management Simulation

Fall 2008

Sheng Yuan Chen

Sanjay Mehrotra

Solving Static and Dynamic Stochastic Optimization Problem via Sparse Grid and Interior Point Methods and its Complexity Analysis

Spring 2008

Amit Vijay Bhandari

John Birge

The Impact of Consumption and Liquidity Constraints on Optimal Consumption and Investment Decisions

Spring 2008

Robert Lien

Karen Smilowitz

Design and Control Principles for Distribution Systems: Studies in Commercial & Nonprofit Operations

Spring 2008

Fang Liu

Wallace Hopp

The Impact of Collaboration Networks on Organizational Performance

Fall 2007

Huai-Te Chao

Seyed Iravani

External Quality Cost Sharing Contracts in Supply Chain

Fall 2007

Shane Drew

Tito Homem de Mello

Quasi-Monte Carlo Methods for Stochastic Programming

Fall 2007

Min Huang

Gordon Hazen

Markov Chain Population Models in Medical Decision Making

Fall 2007

Taylan Ilhan

Mark Daskin

Routing and Resource Allocation with Probabilistic Objectives

Fall 2007

Dingxi Qiu

Ajit Tamhane

Cluster Analysis for Correlated Multivariate Normal and Binary Data

Fall 2007

Shing Chih Tsai

Barry Nelson

Control-Variate Methods for Selecting the Best Simulated System

Fall 2007

Guangming Zhang

Karen Smilowitz

Operational Flexibility in Drayage Vehicle Routing: Multi-Resource Routing Problem with Flexible Tasks

Spring 2007

Frank Curtis

Jorge Nocedal

Inexact Sequential Quadratic Programming Methods for Large-Scale Nonlinear Optimization

Spring 2007

Long Hei

Jorge Nocedal

Practical Techniques for Nonlinear Optimization

Spring 2007

Xuefeng Jiang

John Birge

Quasi-Monte Carlo Methods in Finance

Spring 2007

Bora Kolfal

Seyed Iravani

Modeling Flexibility in Service Operations and Supply Chains

Spring 2007

Zhen Liu

John Birge

High Performance Computational Methods for Portfolio Optimization Problems under Various Transaction Costs: An Option Pricing Approach

Spring 2007

Kristin Sahyouni

Mark Daskin

Product Lifecycle Considerations in Closed-Loop Supply Chain Management

Fall 2006

Peter Francis

Karen Smilowitz

Service Choice in Periodic Distribution Operations

Fall 2006

Pavlo Kovalov

Vadim Linetsky

Pricing Multi-Variable American Options and Convertible Bonds: A Finite Element Method of Lines

Fall 2006

Vadim Lesnevski

 Jeremy Staum

Simulation of Coherent Risk Measures Based on Generalized Scenarios

Fall 2006

Reuben Thomas

Sanjay Mehrotra

Inference of Regulatory Interactions in Genetic Systems

Fall 2006

Yiu Chi Yuen

Wallace Hopp

Towards a Science of White-Collar Work: Discretion, Incentives and Trust in Service Operations and Supply Chain

Spring 2006

Liming Feng

Vadim Linetsky

Computational Methods for Levy and Jump-Diffusion Processes: Applications in Financial Engineering

Spring 2006

Feng Yang

Barry Nelson

Efficient Generation of Cycle Time-Throughput Curves via Simulation for Manufacturing

Fall 2005

Vyacheslav Gorovoy

Vadim Linetsky

Applications of the Eigenfunction Expansion Method in Interest Rate Modeling

Fall 2005

Gabriel Lopez-Calva

Jorge Nocedal

Exact-Penalty Methods for Nonlinear Programming

Fall 2005

Muhittin Ozevin

Sanjay Mehrotra

Decomposition Based Interior-Point Methods for Two-Stage Stochastic Convex Conic Programming with Recourse

Fall 2005

Xiaowei Xu

Wallace Hopp

Strategic Product Line Selection and Pricing

Spring 2005

Umut Aytekin

John Birge & Savaskan R

Three Essays in Operations Management

Spring 2005

Vijayalakshmi Krishnamurthy

Seyed Iravani

Design and Control of Production Systems with Agile Repair Crew and Advance Order Information

Spring 2005

Zhifeng Li

Sanjay Mehrotra

Lattice Basis Reduction and Mixed Integer Convex Programming

Spring 2005

Jun Ma

Robert Fourer

Optimization Services (OS)

Spring 2005

Xiaodong Xu

John Birge

Equity Valuation, Integrated Investment and Financial Decisions

Fall 2004

Jamison Graff

Arthur Hurter Jr.

Transaction Costs, Equipment Leasing, and the Economic Theory of the Firm

Fall 2004

Kiatikun Louis Luangkesorn

Seyed Iravani

Hybrid Produce-to-Order/Produce-to-Stock Systems

Fall 2004

Leyla Ozsen

Mark Daskin

Location-Inventory Planning Models: Capacity Issues and Solution Algorithms

Fall 2004

Biying Shou

Wallace Hopp

Modeling and Knowledge Management of Agile Production Systems with Automation

Fall 2004

Hong Wan

Barry Nelson

Simulation Factor Screening with Controlled Sequential Bifurcation

Spring 2004

Liu Hong

Barry Nelson

Discrete Optimization via Simulation: Algorithms and Error Control

Spring 2004

Bo-Ray Huang

Seyed Iravani

Optimal Production-Inventory Policies in Supply Chains with Information Sharing

Spring 2004

Jorge Poppi

Donald Frey

Management Consulting: A Multidisciplinary Technique

Fall 2003

Leonardo Lopes

Robert Fourer

Modeling Stochastic Optimization: from Idea to Instance

Fall 2003

Lawrence Snyder

Mark Daskin

Supply Chain Robustness and Reliability: Models and Algorithms

Spring 2003

Eylem Tekin

Wallace Hopp

Performance Opportunity for Workforce Agility

Fall 2002

Bahar Deler

Barry Nelson

A Comprehensive Input-Modeling Framework and Software for Stochastic, Discrete-Event Simulation Experiments

Fall 2002

Chien-Wen Shen

Gordon Hazen

The Marginalization Method for Parameter Learning in Belief Networks

Fall 2002

Ying Yang

Ajit Tamhane & Bruce Ankenman

Identifying Location and Dispersion Effects for Ordinal Data from Industrial Experiments

Fall 2002

Yao Zhao

David Simchi-Levi

The Impact of Information Sharing on Supply Chain Performance

Spring 2002

Juta Pichitlamken

Barry Nelson

A Combined Procedure for Optimization via Simulation

Spring 2002

Robert Wolcott

Donald Frey

Network Strategy, Innovation and Performance: A Taxonomy of Firm Networks Based on Competencies, Network Economics and Market Structure, and its Application to the Pharmaceutical and Biotechnology Industries

Fall 2001

Deniz Caglar

David Simchi-Levi

A Multi-Echelon Spare Parts Inventory System with Emergency Lateral Shipments Subject to a Response Time Constraint

Fall 2001

Cheng-Feng Chou

David Simchi-Levi

Asymptotic Performance Analyses of Machine Scheduling Problems with Release Dates

Fall 2001

Hui Liu

David Simchi-Levi

Probabilistic Analysis and Practical Algorithms for Machine Scheduling Problems With or Without Release Date Constraints

Fall 2001

Julie Swann

David Simchi-Levi

Dynamic Pricing Models to Improve Supply Chain Performance

Spring 2001

Ana Aviles

Bruce Ankenman

Optimal Designs for Mixed-Effects Models with Random Nested Factors

Spring 2001

Seong-Hee Kim

Barry Nelson

Highly Efficient Selection Procedures for Stochastic Simulation

Spring 2001

Marcelo Marazzi

Jorge Nocedal

Nonlinear Optimization With and Without Derivatives

Spring 2001

Christopher Scherpereel

Donald Frey

Decision Order Theory: The Semantic Dimensions of Decision Making

Fall 2000

Zuo-Jun Shen

Mark Daskin & David Simchi-Levi

Efficient Algorithms for Various Supply Chain Problems

Spring 2000

Michael Hegedus

Wallace Hopp

Setting lead times and due dates in stochastic assembly systems using MRP

Fall 2000

Steven Waller

Athanasios Ziliasopoulos

Optimization and Control of Stochastic Dynamic Transportation Systems: Formations, Solution Methodologies, and Computational Experience