A survey of adjustable robust optimization
Static robust optimization (RO) is a methodology to solve mathematical optimization
problems with uncertain data. The objective of static RO is to find solutions that are immune …
problems with uncertain data. The objective of static RO is to find solutions that are immune …
Humanitarian relief distribution problem: an adjustable robust optimization approach
Management of humanitarian logistics operations is one of the most critical planning
problems to be addressed immediately after a disaster. The response phase covers the first …
problems to be addressed immediately after a disaster. The response phase covers the first …
An oracle-based algorithm for robust planning of production routing problems in closed-loop supply chains of beverage glass bottles
The demand for glass bottles is exhibiting an upward trend over time. The manufacturing of
glass bottles is costlier in terms of time and resources and is associated with a higher level …
glass bottles is costlier in terms of time and resources and is associated with a higher level …
A two-stage robust hub location problem with accelerated Benders decomposition algorithm
In this paper, a two-stage robust optimisation is presented for an uncapacitated hub location
problem in which demand is uncertain and the level of conservatism is controlled by an …
problem in which demand is uncertain and the level of conservatism is controlled by an …
Strategic facility location, capacity acquisition, and technology choice decisions under demand uncertainty: Robust vs. non-robust optimization approaches
A Jakubovskis - European Journal of Operational Research, 2017 - Elsevier
This paper presents a robust optimization (RO) modeling approach to develop insights into
strategic capacity planning and resource acquisition decisions, including the facility location …
strategic capacity planning and resource acquisition decisions, including the facility location …
[PDF][PDF] Adjustable robust optimization—a survey and tutorial
İ Yanıkoğlu, B Gorissen… - Available online at …, 2017 - researchgate.net
Static robust optimization (RO) is a methodology to solve mathematical optimization
problems with uncertain data. The objective of static RO is to find solutions that are immune …
problems with uncertain data. The objective of static RO is to find solutions that are immune …
A decomposition approach for robust omnichannel retail operations considering the third-party platform channel
J Lee, I Moon - Transportation Research Part E: Logistics and …, 2024 - Elsevier
In recent years, third-party platforms (3PPs), such as Amazon, have attracted considerable
interest from omnichannel retailers as a sales channel option. Even though omnichannel …
interest from omnichannel retailers as a sales channel option. Even though omnichannel …
Affinely adjustable robust optimization for radiation therapy under evolving data uncertainty via semi-definite programming
Static robust optimization has played an important role in radiotherapy, where the decisions
aim to safeguard against all possible realizations of uncertainty. However, it may lead to …
aim to safeguard against all possible realizations of uncertainty. However, it may lead to …
Exact conic programming reformulations of two-stage adjustable robust linear programs with new quadratic decision rules
In this paper we introduce a new parameterized Quadratic Decision Rule (QDR), a
generalisation of the commonly employed Affine Decision Rule (ADR), for two-stage linear …
generalisation of the commonly employed Affine Decision Rule (ADR), for two-stage linear …
Capacitive water-cut meter with robust near-linear transfer function
O Zabolotnyi, V Zabolotnyi, N Koshevoy - Computation, 2022 - mdpi.com
The water content in fuel–water emulsions can vary from 10% to 30%, and is under control
during the process of emulsification. The main task of this study was to obtain near-linear …
during the process of emulsification. The main task of this study was to obtain near-linear …