TY - JOUR
T1 - A rolling horizon heuristic for the stochastic cargo mix problem
AU - Christensen, Jonas Mark
AU - Erera, Alan
AU - Pacino, Dario
PY - 2019
Y1 - 2019
N2 - This paper presents the stochastic cargo-mix problem, which aims at analysing the cargo composition needed for a liner vessel to maximise its revenue on a given service. The unreliability with respect to the demand forecast is included by considering the cargo-flows as being stochastic instead of deterministic. We also take into account accepted bookings, draft, stability and capacity constraints. A compact formulation of the problem is shown to be too complex to solve industrially sized instances. Instead, a rolling horizon matheuristic is presented, and the computational results show that it can achieve high-quality results in reasonable time.
AB - This paper presents the stochastic cargo-mix problem, which aims at analysing the cargo composition needed for a liner vessel to maximise its revenue on a given service. The unreliability with respect to the demand forecast is included by considering the cargo-flows as being stochastic instead of deterministic. We also take into account accepted bookings, draft, stability and capacity constraints. A compact formulation of the problem is shown to be too complex to solve industrially sized instances. Instead, a rolling horizon matheuristic is presented, and the computational results show that it can achieve high-quality results in reasonable time.
U2 - 10.1016/j.tre.2018.10.010
DO - 10.1016/j.tre.2018.10.010
M3 - Journal article
SN - 1366-5545
VL - 123
SP - 200
EP - 220
JO - Transportation Research. Part E: Logistics and Transportation Review
JF - Transportation Research. Part E: Logistics and Transportation Review
ER -