Real-time status information driven optimization method for dynamical logistics tasks

Y. F. Zhang, M. Li, S. B. Si, H. A. Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publication43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013
PublisherComputers and Industrial Engineering
Pages137-146
Number of pages10
ISBN (Print)9781629934372
StatePublished - 2013
Event43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013 - Hong Kong, Hong Kong
Duration: 16 Oct 201318 Oct 2013

Publication series

NameProceedings of International Conference on Computers and Industrial Engineering, CIE
Volume1
ISSN (Electronic)2164-8689

Conference

Conference43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013
Country/TerritoryHong Kong
CityHong Kong
Period16/10/1318/10/13

Keywords

  • Combinatorial optimization
  • Dynamic optimization
  • Green logistics
  • IOT technology
  • Real-time information

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