liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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
The Internet of Things enabled real-time scheduling for remanufacturing of automobile engines
Northwestern Polytech Univ, Peoples R China.
Northwestern Polytech Univ, Peoples R China; KTH Royal Inst Technol, Sweden.
Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Univ Vaasa, Finland.ORCID iD: 0000-0001-8006-3236
Guangdong Univ Technol, Peoples R China.
Show others and affiliations
2018 (English)In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 185, p. 562-575Article in journal (Refereed) Published
Abstract [en]

Typical challenges that managers of remanufacturing face are composed of the lack of timely, accurate, and consistent information of remanufacturing resources. Therefore, it is difficult to implement real-time production scheduling for the shop floor. To address this problem, the authors applied the concept of the Internet of Things to the remanufacturing of automobile engines to form an Internet of Manufacturing Things environment. Under the Internet of Manufacturing Things, an identification technology for disassembled engine parts was designed, and the real-time status of the remanufacturable resources can be monitored. Based on the captured remanufacturing information, a real-time production scheduling method was developed, and a mathematical model was developed to achieve cost reduction, dynamic management of remanufacturable resources, and energy consumption decrease. To obtain an optimal solution, a Pareto-based optimization method was used. Finally, a case study was performed to analyze the effectivity of the proposed method. The results showed that the remanufacturing cost and energy consumption were reduced by 34% and 34% respectively, and the worker load rate was more balanced. These improvements can contribute to more sustainable development and greener production within the remanufacturing industry, especially for remanufacturing of automobile engines. (C) 2018 Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
ELSEVIER SCI LTD , 2018. Vol. 185, p. 562-575
Keywords [en]
Remanufacturing; Internet of Things; Production optimization; Real-time scheduling
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:liu:diva-147900DOI: 10.1016/j.jclepro.2018.02.061ISI: 000430772400050OAI: oai:DiVA.org:liu-147900DiVA, id: diva2:1209633
Note

Funding Agencies|National Science Foundation of China [51675441, 51475096]; 111 Project [B13044]; Fundamental Research Funds for the Central Universities [3102017jc04001]; Circularis (Circular Economy through Innovating Design) project - Vinnova - Swedens innovation agency [2016-03267]; Simon (New Application of AI for Services in Maintenance towards a Circular Economy) project - Vinnova - Swedens innovation agency [2017-01649]

Available from: 2018-05-23 Created: 2018-05-23 Last updated: 2018-05-23

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Search in DiVA

By author/editor
Liu, Yang
By organisation
Environmental Technology and ManagementFaculty of Science & Engineering
In the same journal
Journal of Cleaner Production
Production Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 93 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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