Resolving the berth and quay-crane allocation problem improves the efficiency of seaside operations by optimally allocating berthing spaces and quay cranes to vessels, typically by considering a vessel’s sailing speed and arrival time at a port as constant parameters, while ignoring the impact of arrival times on fuel consumption and emissions when sailing. This work applied a novel nonlinear multi-objective mixed-integer programming model that considered a vessel’s fuel consumption and emissions, and then transformed this model into a second-order mixed-integer cone programming model to solve the problem’s computational intractability. Furthermore, the impact of number of allocated quay cranes on port operational cost, and a vessel’s fuel consumption and emissions was analyzed. Additionally, a vessel’s emissions while moored are also calculated based on wait time. Experimental results demonstrate that the new berth and quay-crane allocation strategy with a vessel’s arrival time as a decision variable can significantly improve vessels’ fuel consumption and emissions, the air quality around ports and utilization of berths and quay cranes without reducing service quality.

Item Type:	Refereed Article
Keywords:	berth and quay crane allocation problem, fuel consumption, emission, second-order cone programming, nonlinear optimization
Research Division:	Commerce, Management, Tourism and Services
Research Group:	Transportation, logistics and supply chains
Research Field:	Maritime transportation and freight services
Objective Division:	Transport
Objective Group:	Water transport
Objective Field:	Port infrastructure and management
UTAS Author:	Du, Y (Dr Bill Du)
ID Code:	113328
Year Published:	2014
Web of Science® Times Cited:	63
Deposited By:	Maritime and Logistics Management
Deposited On:	2016-12-21
Last Modified:	2018-04-11
Downloads:	0