How can stochastic optimization methods be employed to improve healthcare operations?
Hossein Hashemi Doulabi
- Assistant Professor
- Department of Mechanical, Industrial and Aerospace Engineering
- healthcare optimization
- stochastic optimization2
- integer programming4
- dynamic programming4
- stochastic programming2
- robust optimization
- healthcare operations management4
- optimization under uncertainty9
- operations research17
- blood inventory management
- large scale optimization9
- column generation
- Benders decomposition
- Lagrangian relaxation
- decomposition methods3
- scheduling9
-
Claudio Contardo
large scale optimization, operations research, logistics planning
-
Ivan Contreras
transportation systems, networks, large scale optimization
-
Masoumeh Kazemi-Zanjani
operations research, optimization under uncertainty, supply chains
-
Daria Terekhov
dynamic scheduling, scheduling, inverse optimization
-
Onur Kuzgunkaya
supply chains, reconfigurable manufacturing, risk management
-
Jia Yuan Yu
data science, decision theory, machine learning
-
Mingyuan Chen
operations research, industry 4.0, remanufacturing
-
Farnoosh Naderkhani
condition-based maintenance, stochastic analysis, quality management
-
Denis Pankratov
theoretical computer science, algorithm design, analysis of algorithms
-
Ali Akgunduz
aviation industry, air traffic control, greener aviation
-
Satyaveer Singh Chauhan
supply chains, transportation systems, industrial production engineering
-
Chun Wang
distributed/parallel systems, e-supply chains, scheduling
-
Navneet Vidyarthi
logistics planning, supply chains, humanitarian intervention
-
Brigitte Jaumard
autonomic networking, graph theory, operations research
-
Vašek Chvátal
discrete mathematics, betweenness, brain functions
-
Anjali Awasthi
city logistics, transportation systems, sustainable supply chains