4 citations · 9 across the 14 of their papers we have counts for
15 papers
An ALNS Heuristic for Large-Scale Line Planning with Mode Choice and Line Generation
Siv Marie Cartland Hansen, Richard Martin Lusby, Rowan Hoogervorst +1
Demand responsiveness is an important consideration in public transport line planning, as network design and service quality influence passenger demand. However, accounting for thi…
A column generation-based fixed-point heuristic for the service-aware multi-commodity flow problem
Siv Marie Cartland Hansen, Richard Martin Lusby
We study the Service-Aware Multi-Commodity Flow (SAMCF) problem, in which demand is elastic and governed by a logit choice model while routing is subject to hard capacity constrain…
An Exact Algorithm for Public Transport Line Planning Considering Passenger and Operational Costs and Lost Demand
Siv Marie Cartland Hansen, Rowan Hoogervorst, Otto Anker Nielsen +2
Line planning in public transport is the strategic problem of selecting lines and their operating frequencies. This problem is important as it defines the passenger service, based…
Sufficient A Priori Conditions for the Linear Relaxation of the Energy Storage Scheduling Problem
Eléa Prat, Richard Martin Lusby, Pierre Pinson
When modeling energy storage systems, an essential question is how to account for the physical infeasibility of simultaneous charge and discharge. The use of complementarity constr…
Multistage stochastic optimization for drayage procurement in container logistics using stochastic dual dynamic programming
Georgios Vassos, Richard Lusby, Pierre Pinson
Truckload procurement plays a vital role in integrated container logistics, particularly under the uncertainties of container flow and market conditions. We formulate the operation…
Integrated optimization of operations and capacity planning under uncertainty for drayage procurement in container logistics
Georgios Vassos, Richard Lusby, Pierre Pinson
We present an integrated framework for truckload procurement in container logistics, bridging strategic and operational aspects that are often treated independently in existing res…
Generalizable simulation framework for the request-to-order process in the procurement of onboard vessel requisitions
Georgios Vassos, Richard Lusby, Pierre Pinson
Procurement in maritime logistics faces challenges due to uncertainties in demand and fluctuating market conditions. To address these complexities, we introduce a flexible discrete…
How long is long enough? Finite-horizon approximation of energy storage scheduling problems
Eléa Prat, Richard M. Lusby, Juan Miguel Morales +2
Energy storage scheduling problems, where a storage system is operated to maximize its profit in response to a price signal, are naturally formulated as infinite-horizon optimizati…
Optimal Operation of a Building with Electricity-Heat Networks and Seasonal Storage
Eléa Prat, Pierre Pinson, Richard M. Lusby +3
As seasonal thermal energy storage emerges as an efficient solution to reduce CO2 emissions of buildings, challenges appear related to its optimal operation. In a system including…
Solving the train-platforming problem via a two-level Lagrangian Relaxation approach
Qin Zhang, Richard Martin Lusby, Pan Shang +2
High-speed railway stations are crucial junctions in high-speed railway networks. Compared to operations on the tracks between stations, trains have more routing possibilities with…
Virtual Linking Bids for Market Clearing with Non-Merchant Storage
Eléa Prat, Jonas Bodulv Broge, Richard M. Lusby
In the context of energy market clearing, non-merchant assets are assets that do not submit bids but whose operational constraints are included. Integrating energy storage systems…
A simulation framework of procurement operations in the container logistics industry
George Vassos, Klaus K. Holst, Pierre Pinson +1
This study proposes a simulation framework of procurement operations in the container logistics industry that can support the development of dynamic procurement strategies. The ide…
Benders Decomposition for Bi-objective Linear Programs
Andrea Raith, Richard Lusby, Ali Akbar Sohrabi Yousefkhan
In this paper, we develop a new decomposition technique for solving bi-objective linear programming problems. The proposed methodology combines the bi-objective simplex algorithm w…
On the Efficiency of Energy Markets with Non-Merchant Storage
Linde Frölke, Eléa Prat, Pierre Pinson +2
Energy market designs with non-merchant storage have been proposed in recent years, with the aim of achieving optimal market integration of storage. In order to handle the time-lin…
Consistency Cuts for Dantzig-Wolfe Reformulations
Jens Vinther Clausen, Richard Lusby, Stefan Ropke
This paper introduces a family of valid inequalities, that we term consistency cuts, to be applied to a Dantzig-Wolfe reformulation (or decomposition) with linking variables. We pr…