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Open AccessArticle

Truck Scheduling Problem Considering Carbon Emissions under Truck Appointment System

by Houming Fan 1,2, Xiaoxue Ren 1,2,*, Zhenfeng Guo 1 and Yang Li 3
1
Transportation Engineering, Dalian Maritime University, Dalian 116026, China
2
Institute of Strategy Management and System Planning, Dalian 116026, China
3
School of Mining Engineering, Liaoning Shihua University, Fushun 113005, China
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(22), 6256; https://doi.org/10.3390/su11226256
Received: 8 October 2019 / Revised: 28 October 2019 / Accepted: 5 November 2019 / Published: 7 November 2019
(This article belongs to the Special Issue Sustainable Urban Logistics)
Aiming at the truck scheduling problem between the outer yard and multi-terminals, the appointment optimization model of truck is established. In this model, the queue time and the operation time of truck during the appointment period of different terminals are different. Under the restriction of given appointment quotas of each appointment period, determine the arrival amount of trucks in each appointment period. The goal is to reduce carbon emissions and total costs, improve the efficiency of truck scheduling. To solve this model, hybrid genetic algorithm with variable neighborhood search was designed. Firstly, generate chromosomes, and the front part of the chromosome represents the demand for 40 ft containers and the back part represents the demand for 20 ft containers. Then, the route is generated according to the time constraint and appointment quotas of each appointment period. Finally, the neighborhood search strategy is adopted to improve the solution quality. The validity of the model and algorithm were verified by an example. A low-carbon scheduling scheme was obtained under truck appointment system. The results show that the scheduling scheme under truck appointment system uses fewer trucks, improves the efficiency of delivery, reduces the total costs, and it takes into account the requirements of low carbon. View Full-Text
Keywords: carbon emissions; truck appointment system; container terminal; multi-types containers; hybrid genetic algorithm with variable neighborhood search carbon emissions; truck appointment system; container terminal; multi-types containers; hybrid genetic algorithm with variable neighborhood search
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Fan, H.; Ren, X.; Guo, Z.; Li, Y. Truck Scheduling Problem Considering Carbon Emissions under Truck Appointment System. Sustainability 2019, 11, 6256.

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