南方科技大学知识苑(SUSTech KC): An 'Internet of Things' enabled dynamic optimization method for smart vehicles and logistics tasks

题名	An 'Internet of Things' enabled dynamic optimization method for smart vehicles and logistics tasks
作者	Liu, Sichao 1; Zhang, Yingfeng 2,3; Liu, Yang 4,5; Wang, Lihui 1; Wang, Xi Vincent 1
通讯作者	Zhang, Yingfeng; Liu, Yang
发表日期	2019-04
DOI	10.1016/j.jclepro.2018.12.254
发表期刊	Journal of Cleaner Production 影响因子和分区
ISSN	0959-6526
EISSN	1879-1786
卷号	215页码:806-820
摘要	Centralized and one-way logistics services and the lack of real-time information of logistics resources are common in the logistics industry. This has resulted in the increased logistics cost, energy consumption, logistics resources consumption, and the decreased loading rate. Therefore, it is difficult to achieve efficient, sustainable, and green logistics services with dramatically increasing logistics demands. To deal with such challenges, a real-time information-driven dynamic optimization strategy for smart vehicles and logistics tasks towards green logistics is proposed. Firstly, an 'Internet of Things'-enabled real-time status sensing model of logistics vehicles is developed. It enables the vehicles to obtain and transmit real-time information to the dynamic distribution center, which manages value-added logistics information. Then, such information can be shared among logistics companies. A dynamic optimization method for smart vehicles and logistics tasks is developed to optimize logistics resources, and achieve a sustainable balance between economic, environmental, and social objectives. Finally, a case study is carried out to demonstrate the effectiveness of the proposed optimization method. The results show that it contributes to reducing logistics cost and fuel consumption, improving vehicles' utilization rate, and achieving real-time logistics services with high efficiency. (C) 2019 Elsevier Ltd. All rights reserved.
关键词	Internet of things Green logistics Dynamic optimization Real-time information
相关链接	[来源记录]
收录类别	SCI ; EI ; SSCI
语种	英语
学校署名	通讯
资助项目	Simon (New Application of AI for Services in Maintenance towards a Circular Economy) - Vinnova - Sweden's innovation agency[2017-01649]
WOS研究方向	Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
WOS类目	Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS记录号	WOS:000459358300068
出版者	ELSEVIER SCI LTD
EI入藏号	20190606469133
EI主题词	Costs ; Energy utilization ; Internet of things ; Vehicles
EI分类号	Energy Utilization:525.3 ; Computer Software, Data Handling and Applications:723 ; Cost and Value Engineering; Industrial Economics:911
来源库	Web of Science
引用统计	被引频次[WOS]：89
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/26167
专题	工学院_机械与能源工程系
作者单位	1.KTH Royal Inst Technol, Dept Prod Engn, Stockholm, Sweden 2.Northwestern Polytech Univ, Key Lab Contemporary Design & Integrated Mfg Tech, Minist Educ, Xian 710072, Shaanxi, Peoples R China 3.Southern Univ Sci & Technol, Dept Mech & Energy Engn, Shenzhen 518055, Guangdong, Peoples R China 4.Linkoping Univ, Dept Management & Engn, SE-58183 Linkoping, Sweden 5.Univ Vaasa, Dept Prod, Vaasa 65200, Finland
通讯作者单位	机械与能源工程系
推荐引用方式 GB/T 7714	Liu, Sichao,Zhang, Yingfeng,Liu, Yang,et al. An 'Internet of Things' enabled dynamic optimization method for smart vehicles and logistics tasks[J]. Journal of Cleaner Production,2019,215:806-820.
APA	Liu, Sichao,Zhang, Yingfeng,Liu, Yang,Wang, Lihui,&Wang, Xi Vincent.(2019).An 'Internet of Things' enabled dynamic optimization method for smart vehicles and logistics tasks.Journal of Cleaner Production,215,806-820.
MLA	Liu, Sichao,et al."An 'Internet of Things' enabled dynamic optimization method for smart vehicles and logistics tasks".Journal of Cleaner Production 215(2019):806-820.