21 citations · 33 across the 14 of their papers we have counts for
16 papers
Optimization for One, Feasibility for Most: Decoupling Optimization from Feasibility in Chance-Constrained Programs
Justin Dumouchelle, Shunyu Yao, Beste Basciftci +1
Chance-constrained stochastic programs (CCSPs) require solutions that satisfy uncertain constraints with high probability. Standard approaches either embed scenarios directly into…
Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application
Tinghan Ye, Shuaicheng Tong, Changkun Guan +2
Sequential contextual stochastic programs model real-time decision systems in which each time epoch commits to an action under uncertainty whose consequences propagate into future…
Transit Network Design with Two-Level Demand Uncertainties: A Machine Learning and Contextual Stochastic Optimization Framework
Hongzhao Guan, Beste Basciftci, Pascal Van Hentenryck
Transit Network Design is a well-studied problem in the field of transportation, typically addressed by solving optimization models under fixed demand assumptions. Considering the…
Hydrogen Network Expansion Planning considering the Chicken-and-egg Dilemma and Market Uncertainty
Sezen Ece Kayacık, Beste Basciftci, Albert H. Schrotenboer +2
Green hydrogen is thought to be a game changer for reaching sustainability targets. However, the transition to a green hydrogen economy faces a critical challenge known as the `chi…
Dual Sourcing of Green Hydrogen: Balancing Local Production with Stochastic Capacity and Import with Random Yield
Sezen Ece Kayacik, Albert H. Schrotenboer, Iris F. A. Vis +2
Green hydrogen is a critical component for achieving the European Union's 2050 net-zero emissions goal. However, ensuring a reliable and stable supply is challenging, particularly…
Distributionally Robust Optimization with Multimodal Decision-Dependent Ambiguity Sets
Xian Yu, Beste Basciftci
We consider a two-stage distributionally robust optimization (DRO) model with multimodal uncertainty, where both the mode probabilities and uncertainty distributions could be affec…
Adaptive Multistage Stochastic Programming
Sezen Ece Kayacık, Beste Basciftci, Albert H Schrotenboer +1
Multistage stochastic programming is a powerful tool allowing decision-makers to revise their decisions at each stage based on the realized uncertainty. However, in practice, organ…
Optimizing Strategic and Operational Decisions of Car Sharing Systems under Demand Uncertainty and Substitution
Sinan Emre Kosunda, Beste Basciftci, Esra Koca
Optimizing car sharing systems under demand uncertainty is an emerging problem for ensuring profitable and sustainable operations of these services while taking into account qualit…
Path-Based Formulations for the Design of On-demand Multimodal Transit Systems with Adoption Awareness
Hongzhao Guan, Beste Basciftci, Pascal Van Hentenryck
This paper reconsiders the ODMTS Design with Adoptions problem (ODMTS-DA) to capture the latent demand in on-demand multimodal transit systems. The ODMTS-DA is a bilevel optimizati…
Bilevel Optimization and Heuristic Algorithms for Integrating Latent Demand into the Design of Large-Scale Transit Systems
Hongzhao Guan, Beste Basciftci, Pascal Van Hentenryck
Capturing latent demand has a pivotal role in designing transit services as omitting these riders can lead to poor quality of service and/or additional costs. This paper explores t…
A Joint Chance-Constrained Stochastic Programming Approach for the Integrated Predictive Maintenance and Operations Scheduling Problem in Power Systems
Bahar Cennet Okumusoglu, Beste Basciftci, Burak Kocuk
Maintenance planning plays a key role in power system operations under uncertainty by helping system operators ensure a reliable and secure power grid. This paper studies a short-t…
Resource Distribution Under Spatiotemporal Uncertainty of Disease Spread: Stochastic versus Robust Approaches
Beste Basciftci, Xian Yu, Siqian Shen
We consider the problem of optimizing locations of distribution centers (DCs) and plans for distributing resources such as test kits and vaccines, under spatiotemporal uncertaintie…
Capturing Travel Mode Adoption in Designing On-demand Multimodal Transit Systems
Beste Basciftci, Pascal Van Hentenryck
This paper studies how to integrate rider mode preferences into the design of On-Demand Multimodal Transit Systems (ODMTS). It is motivated by a common worry in transit agencies th…
Distributionally Robust Facility Location Problem under Decision-dependent Stochastic Demand
Beste Basciftci, Shabbir Ahmed, Siqian Shen
Facility location decisions significantly impact customer behavior and consequently the resulting demand in a wide range of businesses. Furthermore, sequentially realized uncertain…
Bilevel Optimization for On-Demand Multimodal Transit Systems
Beste Basciftci, Pascal Van Hentenryck
This study explores the design of an On-Demand Multimodal Transit System (ODMTS) that includes segmented mode switching models that decide whether potential riders adopt the new OD…
Adaptive Two-stage Stochastic Programming with an Analysis on Capacity Expansion Planning Problem
Beste Basciftci, Shabbir Ahmed, Nagi Gebraeel
Multi-stage stochastic programming is a well-established framework for sequential decision making under uncertainty by seeking policies that are fully adapted to the uncertainty. O…