15 citations · 57 across the 31 of their papers we have counts for
36 papers
Optimizing Flexibility and Commitments: Partially-Adaptive Multi-Stage Matrix Assembly Layout Design Problem
Baturhan Bayraktar, Merve Bodur, Martin Grunow +1
Matrix assembly layouts provide manufacturing flexibility under product variety and demand volatility through locally reconfigurable production stations. Periodic redesign exploits…
Dynamic Dispatching for Time-Sensitive Blood Sample Collection and Delivery
Arash Dehghan, Aliaa Alnaggar, Mucahit Cevik +1
Hospitals and diagnostic laboratories rely on couriers to collect blood samples from geographically dispersed collection centres and deliver them for analysis before their short vi…
Evacuation Planning for Disaster Preparedness: An Adaptive Robust Optimization Approach
Jaehyuk Kim, Merve Bodur, Maria E. Mayorga +1
Evacuation planning for disaster preparedness requires making critical decisions under uncertainty before the number and spatial distribution of evacuees are known, including shelt…
Approximate Dynamic Programming for Real-time Assignment of Extraboard Transit Operators
Jilin Song, Amer Shalaby, Merve Bodur
This study investigates real-time assignment decisions for extraboard transit operators, who are responsible for covering open work due to unexpected events such as driver absentee…
Fairness-aware Strategic Design of Station-based Electric Car-Sharing Systems
Jue Zhou, Zoha Sherkat-Masoumi, Merve Bodur
Electric car-sharing systems are pivotal for sustainable urban mobility, but their strategic design is complicated by operational constraints, particularly those arising from the c…
Joint Matching and Pricing for Crowd-shipping with In-store Customers
Arash Dehghan, Mucahit Cevik, Merve Bodur +1
This paper examines the use of in-store customers as delivery couriers in a centralized crowd-shipping system, targeting the growing need for efficient last-mile delivery in urban…
Incorporating Service Reliability in Multi-depot Vehicle Scheduling
Margarita P. Castro, Merve Bodur, Amer Shalaby
The multi-depot vehicle scheduling problem (MDVSP) is a critical planning challenge for transit agencies. We introduce a novel approach to MDVSP by incorporating service reliabilit…
Network Flow Models for Robust Binary Optimization with Selective Adaptability
Merve Bodur, Timothy C. Y. Chan, Ian Yihang Zhu
Adaptive robust optimization problems have received significant attention in recent years, but remain notoriously difficult to solve when recourse decisions are discrete in nature.…
A Comprehensive Stochastic Programming Model for Transfer Synchronization in Transit Networks
Zahra Ansarilari, Merve Bodur, Amer Shalaby
We investigate the stochastic transfer synchronization problem, which seeks to synchronize the timetables of different routes in a transit network to reduce transfer waiting times,…
Dynamic AGV Task Allocation in Intelligent Warehouses
Arash Dehghan, Mucahit Cevik, Merve Bodur
This paper explores the integration of Automated Guided Vehicles (AGVs) in warehouse order picking, a crucial and cost-intensive aspect of warehouse operations. The booming AGV ind…
Neural Approximate Dynamic Programming for the Ultra-fast Order Dispatching Problem
Arash Dehghan, Mucahit Cevik, Merve Bodur
Same-Day Delivery (SDD) services aim to maximize the fulfillment of online orders while minimizing delivery delays but are beset by operational uncertainties such as those in order…
An Enhanced Approximate Dynamic Programming Approach to On-demand Ride Pooling
Arash Dehghan, Mucahit Cevik, Merve Bodur
Ride-pooling services have been growing in popularity, increasing the need for efficient and effective operations. The main goal of ride-pooling services is to maximize the number…
Two-stage and Lagrangian Dual Decision Rules for Multistage Adaptive Robust Optimization
Maryam Daryalal, Ayse N. Arslan, Merve Bodur
In this work, we design primal and dual bounding methods for multistage adaptive robust optimization (MSARO) problems motivated by two decision rules rooted in the stochastic progr…
Stochastic Dynamic Lot-sizing with Supplier-Driven Substitution and Service Level Constraints
Narges Sereshti, Merve Bodur, James R. Luedtke
We consider a multi-stage stochastic lot-sizing problem with service level constraints and supplier-driven product substitution. A firm has multiple products and it has the option…
Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem
Cheng Guo, Harsha Nagarajan, Merve Bodur
The Alternating Current Optimal Transmission Switching (ACOTS) problem incorporates line switching decisions into the AC Optimal Power Flow (ACOPF) framework, offering well-known b…
A Feasibility-Seeking Approach to Two-stage Robust Optimization in Kidney Exchange
Lizeth Carolina Riascos-Alvarez, Merve Bodur, Dionne M. Aleman
Kidney paired donation programs (KPDPs) match patients with willing but incompatible donors to compatible donors with an assurance that when they donate, their intended recipient r…
Leveraging Decision Diagrams to Solve Two-stage Stochastic Programs with Binary Recourse and Logical Linking Constraints
Moira MacNeil, Merve Bodur
Two-stage stochastic programs with binary recourse are challenging to solve and efficient solution methods for such problems have been limited. In this work, we generalize an exist…
Markov Chain-based Policies for Multi-stage Stochastic Integer Linear Programming with an Application to Disaster Relief Logistics
Margarita P. Castro, Merve Bodur, Yongjia Song
We introduce an aggregation framework to address multi-stage stochastic programs with mixed-integer state variables and continuous local variables (MSILPs). Our aggregation framewo…
Neur2SP: Neural Two-Stage Stochastic Programming
Justin Dumouchelle, Rahul Patel, Elias B. Khalil +1
Stochastic Programming is a powerful modeling framework for decision-making under uncertainty. In this work, we tackle two-stage stochastic programs (2SPs), the most widely used cl…
A Multiobjective Approach for Sector Duration Optimization in Stereotactic Radiosurgery Treatment Planning
Oylum Şeker, Mucahit Cevik, Merve Bodur +2
Sector duration optimization (SDO) is a problem arising in treatment planning for stereotactic radiosurgery on Gamma Knife. Given a set of isocenter locations, SDO aims to select c…
Optimization Helps Scheduling Nursing Staff at the Long-Term Care Homes of the City of Toronto
Manion Anderson, Merve Bodur, Scott Rathwell +1
The City of Toronto Long Term Care Homes & Services (LTCH&S) division is one of the largest providers of long-term care in the Canadian province of Ontario, providing care to 2,640…
Copositive Duality for Discrete Markets and Games
Cheng Guo, Merve Bodur, Joshua A. Taylor
Optimization problems with discrete decisions are nonconvex and thus lack strong duality, which limits the usefulness of tools such as shadow prices and the KKT conditions. It was…
Digital Annealer for quadratic unconstrained binary optimization: a comparative performance analysis
Oylum Şeker, Neda Tanoumand, Merve Bodur
Digital Annealer (DA) is a computer architecture designed for tackling combinatorial optimization problems formulated as quadratic unconstrained binary optimization (QUBO) models.…
Stochastic RWA and Lightpath Rerouting in WDM Networks
Maryam Daryalal, Merve Bodur
In a telecommunication network, Routing and Wavelength Assignment (RWA) is the problem of finding lightpaths for incoming connection requests. When facing a dynamic traffic, greedy…