- document
-
Simorgh, A. (author), Soler, Manuel (author), Dietmüller, Simone (author), Matthes, Sigrun (author), Yamashita, Hiroshi (author), Castino, F. (author), Yin, F. (author)The non-CO<sub>2</sub> climate impact of aviation strongly relies on the atmospheric conditions at the time and location of emissions. Therefore, it is possible to mitigate their associated climate impact by planning trajectories to re-route airspace areas with significant climate effects. Identifying such climate-sensitive regions requires...journal article 2024
- document
-
Simorgh, A. (author), Soler, Manuel (author), Castino, F. (author), Yin, F. (author), Cerezo Magana, M. (author)The spatiotemporal dependency of aviation-induced non-CO<sub>2</sub> climate effects can be incorporated into flight planning tools to generate climate-friendly flight plans. However, estimating climate impact is challenging and associated with high uncertainty. To ensure the effectiveness of such an operational measure, sources that induce...journal article 2024
- document
-
Yao, Zhongbo (author)This thesis aims at maximizing the profit of a strawberry producer while satisfying the retailer's demand and meeting other constraints. The amount of strawberries to be delivered to the retailer signed in the contract is the main decision variable to be optimized in the problem. Furthermore, the transportation scheduling is also optimized to...master thesis 2023
- document
-
van Zon, Manon (author)Intensity modulated proton therapy is an advanced radiotherapy technique that is used to treat cancer patients. In order to successfully treat a patient, sufficient dose to the tumor is required. However, during the fractionated treatment, multiple errors can cause a difference between the planned and actual dose delivery. To ensure adequate...master thesis 2023
- document
-
Robust design of CAV-Dedicated lanes considering CAV demand uncertainty and lane reallocation policySeilabi, Sania E. (author), Pourgholamali, Mohammadhosein (author), Correia, Gonçalo (author), Labi, Samuel (author)Reduced headways of connected and automated vehicles (CAV) provide opportunities to address traffic congestion and environmental adversities. This benefit can be utilized by deploying CAV-dedicated lanes (CAVDL). This paper presents a bi-level optimization model that captures CAV market size uncertainty. The upper level determines the links ...journal article 2023
- document
-
Xia, D. (author), Ma, Jihui (author), Sharif Azadeh, S. (author), Zhang, Wenyi (author)The collaborative design of the timetable and dynamic-capacity allocation plan of emerging modular vehicles (MVs) is a promising solution to the mismatch between supply and demand in public transportation studies; however, such efforts are subject to high-level dynamics and uncertainty inherent in operating environments. In this study, we...journal article 2023
- document
-
Li, Y. (author), Yorke-Smith, N. (author), Keviczky, T. (author)The efficacy of robust optimal control with adjustable uncertainty sets is verified in several domains under the perfect state information setting. This paper investigates constrained robust optimal control for linear systems with linear cost functions subject to uncertain disturbances and state measurement errors that are both residing in...journal article 2023
- document
-
Pourmohammadzia, N. (author), Schulte, F. (author), González-Ramírez, Rosa G. (author), Voß, Stefan (author), Negenborn, R.R. (author)Modern ports face significant challenges as strategic nodes of global supply chains, being responsible for the coordination of inbound and outbound flows at deep-sea and in hinterland transport corridors. Digitization and the adoption of disruptive technologies can help ports to tide over operational challenges. Automated Ground Vehicles ...journal article 2023
- document
-
Nazari-Shirkouhi, Salman (author), Miralizadeh Jalalat, Sepideh (author), Sangari, Mohamad Sadegh (author), Sepehri, A. (author), Rezaei Vandchali, Hadi (author)Attaining sustainability objectives has received wide attention in the supplier selection and order allocation (SSOA) literature. This paper aims to investigate an SSOA problem under multiple items, multiple suppliers, multiple price levels, and multiple period using a robust-fuzzy multi-objective programming in which: (a) transportation cost,...journal article 2023
- document
-
Fransen, M.P. (author), Langelaar, Matthijs (author), Schott, D.L. (author)In design optimization of bulk handling equipment (BHE) we generally focus on the mean performance of the equipment. However, granular materials behave stochastic due to irregularities in particle shape and size which leads to stochastic performance of the equipment. To include the stochastic performance we propose robust metamodel-based...journal article 2023
- document
-
Nguyen, Viet Anh (author), Shafieezadeh-Abadeh, Soroosh (author), Kuhn, Daniel (author), Mohajerin Esfahani, P. (author)We introduce a distributionally robust minimium mean square error estimation model with a Wasserstein ambiguity set to recover an unknown signal from a noisy observation. The proposed model can be viewed as a zero-sum game between a statistician choosing an estimator—that is, a measurable function of the observation—and a fictitious adversary...journal article 2023
- document
-
van Doorn, Victor (author)Future energy systems are expected to rely increasingly more on distributed energy resources (DER). Prosumers that own energy resources such as photovoltaic (PV) generation and energy storage systems, will play a crucial role in the realization of DER’s in future power systems. Limited grid connections due to local electricity congestion make it...master thesis 2022
- document
-
Bom, Joep (author)In this thesis a novel model is proposed to solve the Robust Tail Assignment problem. The Robust Tail Assignment problem aims to assign aircraft to flights, while minimize expected costs of operating a flight schedule, including expected delay costs. This problem is difficult, because delays can propagate between successive flights in the...master thesis 2022
- document
-
Carli, Raffaele (author), Cavone, Graziana (author), Pippia, T.M. (author), De Schutter, B.H.K. (author), Dotoli, Mariagrazia (author)This paper focuses on the control of microgrids where both gas and electricity are provided to the final customer, i.e., multi-carrier microgrids. Hence, these microgrids include thermal and electrical loads, renewable energy sources, energy storage systems, heat pumps, and combined heat and power units. The parameters characterizing the...journal article 2022
- document
-
Cohen, Izack (author), Postek, K.S. (author), Shtern, Shimrit (author)Real-life parallel machine scheduling problems can be characterized by: (i) limited information about the exact task duration at the scheduling time, and (ii) an opportunity to reschedule the remaining tasks each time a task processing is completed and a machine becomes idle. Robust optimization is the natural methodology to cope with the first...journal article 2022
- document
-
Nguyen, Viet Anh (author), Kuhn, Daniel (author), Mohajerin Esfahani, P. (author)We introduce a distributionally robust maximum likelihood estimation model with a Wasserstein ambiguity set to infer the inverse covariance matrix of a p-dimensional Gaussian random vector from n independent samples. The proposed model minimizes the worst case (maximum) of Stein’s loss across all normal reference distributions within a...journal article 2022
- document
-
Soghrati Ghasbeh, Sogand (author), Pourmohammadzia, N. (author), Rabbani, Masoud (author)Purpose: This paper aims to address a location-distribution-routing problem for distributing relief commodities during a disaster under uncertainty by creating a multi-stage model that can consider information updates during the disaster. This model aims to create a relief network that chooses distribution centers with the highest value while...journal article 2022
- document
-
Emanuel Febrianto Prakoso, Emanuel (author)This study addresses the truck rescheduling problem as the consequence of uncertain arrival time. It proposes an integrated system of predictive model powered by machine learning algorithm and exact optimization model such that it is distinct from most existing literatures in this domain. The uncertainty of truck arrival time is captured as...master thesis 2021
- document
-
Damianakis, Nikos (author)With the current urge around the globe for switching to “green energy” and Renewable Energy Sources (RES) utilization, the electrification of the transportation sector has become a necessity. While the emerging Electric Vehicles (EVs) can provide several benefits to the power grid, such as voltage and frequency regulation and power quality...master thesis 2021
- document
-
van der Vlugt, Boaz (author)The field of robust optimization deals with problems where uncertainty influences the optimal decision. Some of these problems can be formulated in a ‘two-stage’ formulation, such as the location transportation problem. To solve such a problem, a column-and-constraint-generation algorithm has been introduced in which constraints are iteratively...bachelor thesis 2021