Majsa Ammouriova

According to our database, Majsa Ammouriova authored at least 14 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Conceptual Framework for Predicting Electric Vehicles Battery Remaining Useful Life used for Fleet Management Utilizing Survival Analysis.

Majsa Ammouriova, Sahar Qaadan

Proceedings of the 2025 13th International Conference on Control, 2025

2024

Sim-Learnheuristics: A Tool for Decision Making Under Stochastic and Dynamic Conditions.

Angel A. Juan, Majsa Ammouriova, Veronika Tsertsvadze, Celia Osorio

Proceedings of the Simulation Tools and Techniques, 2024

Using Data Analytics, Machine Learning, and KPIs for Urban Planning and Design.

Veronika Tsertsvadze, Majsa Ammouriova, Trinidad Fernandez, Leon Kapetas

Proceedings of the Decision Sciences, 2024

2023

Tokenized Markets Using Blockchain Technology: Exploring Recent Developments and Opportunities.

Angel A. Juan, Elena Pérez-Bernabeu, Yuda Li, Xabier Martin, Majsa Ammouriova, Barry B. Barrios

Inf., 2023

Solving NP-Hard Challenges in Logistics and Transportation under General Uncertainty Scenarios Using Fuzzy Simheuristics.

Angel A. Juan, Markus Rabe, Majsa Ammouriova, Javier Panadero, David Peidro, Daniel Riera

Algorithms, 2023

Solving the Multi-Allocation p-Hub Median Problem with Stochastic Travel Times: A Simheuristic Approach.

Niklas Jost, Aleksandra Grochala, Christin Schumacher, Majsa Ammouriova, Angel A. Juan

Proceedings of the Winter Simulation Conference, 2023

2022

Biased-Randomized Discrete-Event Heuristics for Dynamic Optimization with Time Dependencies and Synchronization.

Juliana Castaneda, Mattia Neroni, Majsa Ammouriova, Javier Panadero, Angel A. Juan

Algorithms, 2022

Simheuristics: An Introductory Tutorial.

Angel A. Juan, Yuda Li, Majsa Ammouriova, Javier Panadero, Javier Faulin

Proceedings of the Winter Simulation Conference, 2022

A Biased-Randomized Simheuristic for a Hybrid Flow Shop with Stochastic Processing Times in the Semiconductor Industry.

Majsa Ammouriova, Javier Panadero, Madlene Leißau, Christoph Laroque, Christin Schumacher, Angel A. Juan

Proceedings of the Winter Simulation Conference, 2022

2021

Approaches to enhance the performance of simheuristic methods in the optimisation of multi-echelon logistics distribution networks.

Majsa Ammouriova

PhD thesis, 2021

Simheuristics Approaches for Efficient Decision-Making Support in Materials Trading Networks.

Markus Rabe, Majsa Ammouriova, Dominik Schmitt, Felix Dross

Algorithms, 2021

2018

Utilizing Domain-Specific Information for the Optimization of Logistics Networks.

Markus Rabe, Majsa Ammouriova, Dominik Schmitt

Proceedings of the 2018 Winter Simulation Conference, 2018

Improving the Performance of a Logistics Assistance System for materials Trading Networks by Grouping Similar Actions.

Markus Rabe, Majsa Ammouriova, Dominik Schmitt

Proceedings of the 2018 Winter Simulation Conference, 2018

Utilizing Domain-Specific Information in Decision Support for Logistics Networks.

Markus Rabe, Dominik Schmitt, Majsa Ammouriova

Proceedings of the Dynamics in Logistics, 2018