@inproceedings{d2dd73daefd3430f95e40b1747e77b15,
title = "Real-time status information driven optimization method for dynamical logistics tasks",
abstract = "Nowadays, owning to the shortage of integration and sharing of the information of logistics companies, the traditional logistics patterns will be harder to achieve high efficiency, low carbon logistics while faced growing logistics transportation demand. To solve the above problems, a real-time status information sensing model of logistics vehicles based on internet of things technologies have been established and a dynamically combination and optimization distribution method for logistics tasks has been presented. By sharing the realtime status information of the vehicles in different logistics companies, a logistics tasks dynamics combination optimization algorithm has been designed to optimally promote the vehicle's load factor while ensure the efficiency of general logistics distribution.",
keywords = "Combinatorial optimization, Dynamic optimization, Green logistics, IOT technology, Real-time information",
author = "Zhang, {Y. F.} and M. Li and Si, {S. B.} and Yang, {H. A.}",
year = "2013",
language = "英语",
isbn = "9781629934372",
series = "Proceedings of International Conference on Computers and Industrial Engineering, CIE",
publisher = "Computers and Industrial Engineering",
pages = "137--146",
booktitle = "43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013",
note = "43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013 ; Conference date: 16-10-2013 Through 18-10-2013",
}