TY - JOUR
T1 - Revenue management in liner shipping
T2 - Addressing the vessel capacity challenge
AU - Jensen, Rune Møller
AU - Ajspur, Mai Lise
PY - 2022
Y1 - 2022
N2 - An empty slot on a container vessel can be impossible to fill due to complex seaworthiness and port requirements. This vessel capacity challenge is well known in the industry, but it is hard to address in practice. For that reason, revenue management (RM) methods in liner shipping rely on simple capacity models based on maximum volume, weight, and number of refrigerated containers. In this article, we challenge this status quo by introducing the standard capacity model (SCM). The SCM is a linear programming feasible set that includes all major capacity reducing aspects of container vessel and port operations such as naval design, stability, stress forces, lashing forces, trim, draft, restows, and quay crane work time. We apply the SCM to a state-of-the-art RM method and optimize yield over a 90 days period of Maersk’s Asia-Europe services in 2018 with 296 port calls. The model solves to optimality in less than 25 min and shows that the simple capacity model used in RM today can overestimate yield by more than 20% compared to the SCM. This is substantial in an industry, where profit margins of a few percent are the norm.
AB - An empty slot on a container vessel can be impossible to fill due to complex seaworthiness and port requirements. This vessel capacity challenge is well known in the industry, but it is hard to address in practice. For that reason, revenue management (RM) methods in liner shipping rely on simple capacity models based on maximum volume, weight, and number of refrigerated containers. In this article, we challenge this status quo by introducing the standard capacity model (SCM). The SCM is a linear programming feasible set that includes all major capacity reducing aspects of container vessel and port operations such as naval design, stability, stress forces, lashing forces, trim, draft, restows, and quay crane work time. We apply the SCM to a state-of-the-art RM method and optimize yield over a 90 days period of Maersk’s Asia-Europe services in 2018 with 296 port calls. The model solves to optimality in less than 25 min and shows that the simple capacity model used in RM today can overestimate yield by more than 20% compared to the SCM. This is substantial in an industry, where profit margins of a few percent are the norm.
KW - Container vessel capacity
KW - Liner shipping
KW - Revenue management
KW - Stowage rules
KW - Seaworthiness requirements
KW - Container vessel capacity
KW - Liner shipping
KW - Revenue management
KW - Stowage rules
KW - Seaworthiness requirements
U2 - 10.1016/j.martra.2022.100069
DO - 10.1016/j.martra.2022.100069
M3 - Journal article
SN - 2666-822X
VL - 3
SP - 100069
JO - Maritime Transportation Research
JF - Maritime Transportation Research
ER -