Open AccessResearch on Berth-Quay Crane Joint Scheduling Considering Carbon Emission
Author(s) -
Rui Yang,
Jing Sun
Publication year - 2021
Publication title -
journal of industrial and intelligent information
Language(s) - English
Resource type - Journals
ISSN - 2301-3745
DOI - 10.18178/jiii.9.1.1-6
Subject(s) - scheduling (production processes) , computer science , operations research , fuel efficiency , integer programming , greenhouse gas , mathematical optimization , sorting , environmental science , engineering , automotive engineering , mathematics , algorithm , ecology , biology
With the increasing awareness of environmental protection, all walks of life a are paying more and more attention to the carbon dioxide emissions brought by their own industries. For the container terminal, a large proportion of carbon emissions come from the fuel consumption of vessels. In this paper, the consideration of carbon emissions is added to the original berth quay crane joint scheduling problem, and the constraints such as vessel preference for berths and quay crane interference are added. A dual-objective nonlinear mixed integer programming model is established to minimize carbon emissions and minimize costs. The model is solved by the Non-Dominated Sorting Genetic Algorithm with Elite Strategy, and the optimal scheduling scheme is obtained. Finally, the calculation examples are verified to prove the effectiveness and practicability of the model and algorithm.