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Carbon-efficient deployment of electric rubber-tyred gantry cranes in container terminals with workload uncertainty

journal contribution
posted on 10.12.2018 by Dayong Yu, Dong Li, Mei Sha, Dali Zhang
Rubber-tyred gantry cranes are one of the major sources of carbon dioxide emissions in container terminals. In a move to green transportation, the traditional diesel powered cranes are being converted to electric ones. In this paper, we study the deployment of electric powered gantry cranes (ERTGs) in container terminal yards. Cranes always move in-between blocks to serve different workload. ERTGs use electricity for most movements but switch to diesel engines to allow inter-block transfers between unaligned blocks. We exploit this feature and propose to consider simultaneously the CO2 emissions and workload delays to develop carbon-efficient deployment strategies. Moreover, unlike previous works we consider the workload uncertainty, and model the problem as a two-stage stochastic program. A sample average approximation framework with Benders decomposition is employed to solve the problem. Multiple acceleration techniques are proposed, including a tailored regularised decomposition approach and valid inequalities. A case study with sample data from a major port in East China show that our proposal could reduce significantly CO2 emissions with only a marginal compromise in workload delays. Our numerical experiments also highlight the significance of the stochastic model and the efficiency of the Benders algorithms.

Funding

This work was supported by the National Natural Science Foundation of China [grant number 71172076].

History

School

  • Business and Economics

Department

  • Business

Published in

European Journal of Operational Research

Volume

275

Issue

2

Pages

552-569

Citation

YU, D. ... et al, 2019. Carbon-efficient deployment of electric rubber-tyred gantry cranes in container terminals with workload uncertainty. European Journal of Operational Research, 275(2), pp. 552-569.

Publisher

© Elsevier

Version

AM (Accepted Manuscript)

Publisher statement

This paper was accepted for publication in the journal European Journal of Operational Research and the definitive published version is available at https://doi.org/10.1016/j.ejor.2018.12.003

Acceptance date

03/12/2018

Publication date

2018-12-05

Copyright date

2019

ISSN

0377-2217

Language

en

Exports