S
Sarah M. Ryan
Researcher at Iowa State University
Publications - 151
Citations - 3657
Sarah M. Ryan is an academic researcher from Iowa State University. The author has contributed to research in topics: Stochastic programming & Reverse logistics. The author has an hindex of 30, co-authored 144 publications receiving 3052 citations. Previous affiliations of Sarah M. Ryan include Anschutz Medical Campus & University College Cork.
Papers
More filters
Journal ArticleDOI
A Multiperiod Generalized Network Flow Model of the U.S. Integrated Energy System: Part I—Model Description
TL;DR: In this article, a multi-period generalized network flow model of the integrated energy system in the United States is presented, which includes physical, economic, and environmental aspects that characterize the different networks.
Journal ArticleDOI
Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition
TL;DR: A novel hybrid robust-stochastic programming (HRSP) approach to simultaneously model two different types of uncertainties by including stochastic scenarios for transportation costs and polyhedral uncertainty sets for demands and returns is developed.
Journal ArticleDOI
Optimal Price and Quantity of Refurbished Products
Jumpol Vorasayan,Sarah M. Ryan +1 more
TL;DR: In this article, the authors model the sale, return, refurbishment, and resale processes in an open queueing network and formulate a mathematical program to find the optimal price and proportion to refurbish.
Journal ArticleDOI
Obtaining lower bounds from the progressive hedging algorithm for stochastic mixed-integer programs
Dinakar Gade,Gabriel A. Hackebeil,Sarah M. Ryan,Jean-Paul Watson,Roger J.-B. Wets,David L. Woodruff +5 more
TL;DR: This work presents a method for computing lower bounds in the progressive hedging algorithm (PHA) for two-stage and multi-stage stochastic mixed-integer programs, and explores the relationship between key PHA parameters and the quality of the resulting lower bounds.
Journal ArticleDOI
Closed-loop supply chain network design with multiple transportation modes under stochastic demand and uncertain carbon tax
Ali Haddad-Sisakht,Sarah M. Ryan +1 more
TL;DR: In this article, the authors optimize the design of a closed-loop supply chain network that encompasses flows in both forward and reverse directions and is subject to uncertainty in demands for both new and returned products.