Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
IoT-enabled Dynamic Optimisation for Sustainable Reverse Logistics
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.ORCID iD: 0000-0001-8679-8049
2018 (English)In: 25th CIRP Life Cycle Engineering (LCE) Conference, 30 April – 2 May 2018, Copenhagen, Denmark, Elsevier, 2018, Vol. 69, p. 662-667Conference paper, Published paper (Refereed)
Abstract [en]

Currently, typical challenges that logistics industry faces include the exploding logistics (including reverse logistics) tasks, the lack of real-time and accurate logistics information, and demands towards sustainable logistics. Therefore, it is difficult for logistic companies to achieve highly-efficient and sustainable reverse logistics. This paper adopts a bottom-up logistics strategy that aims to achieve the real-time information-driven dynamic optimisation distribution for logistics tasks. Under this strategic framework, an IoT-enabled real-time information sensing model is designed to sense and capture the real-time data of logistics resources, which are shared among companies after the value-added processes. Real-time information-driven dynamic optimisation for logistics tasks is proposed to optimise the configuration of logistics resources, reduce logistics cost, energy consumption and the distribution distance, and alleviate the environmental pollution. The objective of this research is to develop an innovative logistics distribution model for sustainable logistics.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 69, p. 662-667
Series
Procedia CIRP, ISSN 2212-8271
Keywords [en]
dynamic optimisation, IoT, logistics resources, sustainable reverse logistics
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-228580DOI: 10.1016/j.procir.2017.11.088ISI: 000435141900114Scopus ID: 2-s2.0-85047102881OAI: oai:DiVA.org:kth-228580DiVA, id: diva2:1210349
Conference
25th CIRP Conference on Life Cycle Engineering, , CIRP LCE 2018, Technical University of Denmark, Copenhagen, Denmark, 30 April 2018 through 2 May 2018
Note

QC 20180528

Available from: 2018-05-28 Created: 2018-05-28 Last updated: 2018-08-15Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Wang, Lihui

Search in DiVA

By author/editor
Liu, SichaoWang, Lihui
By organisation
Production Engineering
Transport Systems and Logistics

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 20 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf