1 citations · 1 across the 5 of their papers we have counts for
11 papers
The Bi-objective Electric Autonomous Dial-a-Ride Problem
Yue Su, Sophie N. Parragh, Nicolas Dupin +1
The electric autonomous dial-a-ride problem (E-ADARP) introduces electric, autonomously driving vehicles and their unique requirements into the classic dial-a-ride problem, where p…
An exact approach for the multi-depot electric vehicle scheduling problem
Xenia Haslinger, Elisabeth Gaar, Sophie N. Parragh
The "avoid - shift - improve" framework and the European Clean Vehicles Directive set the path for improving the efficiency and ultimately decarbonizing the transport sector. While…
Progressive hedging for multi-stage stochastic lot sizing problems with setup carry-over under uncertain demand
Manuel Schlenkrich, Jean-François Cordeau, Sophie N. Parragh
We investigate multi-stage demand uncertainty for the multi-item multi-echelon capacitated lot sizing problem with setup carry-over. Considering a multi-stage decision framework he…
Enhancing Rolling Horizon Production Planning Through Stochastic Optimization Evaluated by Means of Simulation
Manuel Schlenkrich, Wolfgang Seiringer, Klaus Altendorfer +1
Production planning must account for uncertainty in a production system, arising from fluctuating demand forecasts and execution-level friction. This article integrates scenario-ba…
Adaptive Improvements of Multi-Objective Branch and Bound
Julius Bauß, Sophie N. Parragh, Michael Stiglmayr
Branch and bound methods which are based on the principle "divide and conquer" are a well established solution approach in single-objective integer programming. In multi-objective…
A matheuristic for tri-objective binary integer programming
Duleabom An, Sophie N. Parragh, Markus Sinnl +1
Many real-world optimisation problems involve multiple objectives. When considered concurrently, they give rise to a set of optimal trade-off solutions, also known as efficient sol…