Sigrun Andradottir

About

Sigrun Andradottir is a Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Her research interests focus on simulation, applied probability, and stochastic optimization. She has developed expertise in these areas, contributing to the fields of applied probability and simulation within industrial and systems engineering. Sigrun Andradottir earned her B.S. in Mathematics from the University of Iceland in 1986, followed by an M.S. in Statistics from Stanford University in 1989, and a Ph.D. in Operations Research from Stanford University in 1990. After completing her doctorate, she joined the faculty of the University of Wisconsin – Madison in 1990 and later moved to Georgia Tech in 1995. Throughout her career, she has been affiliated with professional organizations such as INFORMS and Operations Research, reflecting her active engagement with the research community in her areas of specialization.

Research topics

• Computer Science
• Artificial Intelligence
• Mathematics
• Mathematical optimization
• Machine Learning
• Operations research
• Data Mining
• Nursing
• Economics
• Medicine

Selected publications

• Pareto set estimation with guaranteed probability of correct selection

  European Journal of Operational Research · 2020 · 8 citations

  1st authorCorresponding
  PublisherDOI

• Finding Feasible Systems for Subjective Constraints Using Recycled Observations

  INFORMS journal on computing · 2022 · 7 citations

  We consider the problem of finding a set of feasible or near-feasible systems among a finite number of simulated systems in the presence of stochastic constraints. When the constraints are subjective, a decision maker may want to test multiple threshold values for the constraints. Or the decision maker may simply want to determine how a set of feasible systems changes as constraints become more strict with the objective of pruning systems or finding the system with the best performance. When onl…

  PublisherDOI

• Dynamic Control of Non‐Collaborative Workers When Reassignment Is Costly

  Production and Operations Management · 2021-11-06 · 5 citations

  article

  Cross‐training is an important tool to improve the performance of manufacturing and service systems through dynamic worker allocation. This study investigates how cross‐training can be leveraged when worker collaboration is not possible and frequent worker reassignment is undesirable. We consider a tandem queueing system with finite buffers between tasks. We show that if each worker is the fastest at a different task, then the optimal policy is always dedicated, regardless of the magnitude of th…

  PublisherDOI

• Optimizing the interaction between residents and attending physicians

  European Journal of Operational Research · 2020 · 4 citations

  1st authorCorresponding
  PublisherDOI

• Selection of the Best in the Presence of Subjective Stochastic Constraints

  ACM Transactions on Modeling and Computer Simulation · 2024 · 2 citations

  We consider the problem of finding a system with the best primary performance measure among a finite number of simulated systems in the presence of subjective stochastic constraints on secondary performance measures. When no feasible system exists, the decision maker may be willing to relax some constraint thresholds. We take multiple threshold values for each constraint as a user’s input and propose indifference-zone procedures that perform the phases of feasibility check and selection-of-the-b…

  PublisherOA PDFDOI

Recent grants

• Queueing Systems with Server Synchronization

  NSF · $350k · 2015–2020

• Resource Flexibility for Uncertainty Mitigation in Production and Service Systems

  NSF · $360k · 2009–2014

• Improving the Performance of Queueing Systems through Cross-Training

  NSF · $318k · 2000–2005

Frequent coauthors

• Hayriye Ayhan

  Georgia Institute of Technology

  27 shared

• David Goldsman

  Georgia Institute of Technology

  13 shared

• Douglas G. Down

  McMaster University

  13 shared

• Seong‐Hee Kim

  Sungkyunkwan University

  12 shared

• Nilay Tanık Argon

  University of North Carolina at Chapel Hill

  9 shared

• Andrei A. Prudius

  Bloomberg (United States)

  7 shared

• Teunis J. Ott

  Los Alamos National Laboratory

  6 shared

• Mehdi Hoseyni-Nasab

  Rutgers, The State University of New Jersey

  6 shared

Similar researchers at Georgia Institute of Technology

• Yu Dingh-108
• Turgay Ayerh-34
• Santanu Deyh-31