<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Truck arrival management (TAM) has been recognized as an effective solution to alleviate the gate congestion at container terminals. To further utilize TAM in improving the overall terminal performance, this study integrates TAM with the other terminal operations at a tactical level. An integrated planning model and a sequential planning model are presented to coordinate the major terminal planning activities, including quayside berth allocation, yard storage space allocation and TAM. A heuristic-based genetic algorithm is developed to solve the models. A range of numerical examinations are performed to compare two planning models. The result shows that: the integrated model can improve the terminal performance significantly from the sequential model alone, particularly when the gate capacity and the yard capacity are relatively low; whereas the sequential model is more efficient than the integrated model in terms of computational time.</p></abstract>

Truck arrival management (TAM) has been recognized as an effective solution to alleviate the gate congestion at container terminals. To further utilize TAM in improving the overall terminal performance, this study integrates TAM with the other terminal operations at a tactical level. An integrated planning model and a sequential planning model are presented to coordinate the major terminal planning activities, including quayside berth allocation, yard storage space allocation and TAM. A heuristic-based genetic algorithm is developed to solve the models. A range of numerical examinations are performed to compare two planning models. The result shows that: the integrated model can improve the terminal performance significantly from the sequential model alone, particularly when the gate capacity and the yard capacity are relatively low; whereas the sequential model is more efficient than the integrated model in terms of computational time.

Integrating truck arrival management into tactical operation planning at container terminals

Transportation Management College, Dalian Maritime University, CHINA, Tel.: +86-411-84726756; Fax: +86-411-84726756;

Addr.: Linghai 1, Gangjingzi District, Dalian, CHINA

Department of Mechanics and Production, Aalborg University, DENMARK

School of Management, Plymouth University, the UNITED KINGDOM

Polish Maritime Research

Truck arrival management (TAM) has been recognized as an effective solution to alleviate the gate congestion at container terminals. To further utilize TAM in...

Integrating truck arrival management into tactical operation planning at container terminals

Pubblicato online: 31 lug 2013

Pagine: 32 - 46

DOI: https://doi.org/10.2478/pomr-2013-0025

Parole chiave
container terminal, integrated planning, truck arrival management, berth allocation, storage space allocation

This content is open access.

Integrating truck arrival management into tactical operation planning at container terminals

Pubblicato online: 31 lug 2013

Pagine: 32 - 46

DOI: https://doi.org/10.2478/pomr-2013-0025

Parole chiavecontainer terminal, integrated planning, truck arrival management, berth allocation, storage space allocation

This content is open access.

Parole chiave
container terminal, integrated planning, truck arrival management, berth allocation, storage space allocation