Optimal production planning in a hybrid manufacturing and recovering system based on the internet of things with closed loop supply chains

Chang Fang (), Xinbao Liu, Jun Pei, Wenjuan Fan and Panos M. Pardalos
Additional contact information
Chang Fang: Hefei University of Technology
Xinbao Liu: Hefei University of Technology
Jun Pei: Hefei University of Technology
Wenjuan Fan: Hefei University of Technology
Panos M. Pardalos: University of Florida

Operational Research, 2016, vol. 16, issue 3, No 8, 543-577

Abstract: Abstract During the last decades many companies have to retrieve and treat their end-of-use products when products leave their end users in order to contribute to environmental protection and avoid defiance of relevant legislations. The utilization of returned products in a proper way is the best choice to conform to the above requirement, and save the cost in the production and maintenance process as well. With the development of information technologies, especially the internet of things used in product life cycle data management, the product life cycle information can be tracked, detected, stored and used in the returned product process. In this paper, an integer linear programming model is presented based on the detail product information for the optimization of procurement, manufacturing, recovering and disposal decisions. The model considers three recovery options, several value levels of returns and the value deterioration during the processing time period in order to satisfy the products and components demand in the production planning. A numerical example and sensitivity analysis are used to illustrate the performance and applicability of the model.

Keywords: Internet of things; Closed loop supply chains; Returns recovery; Value deterioration; Production planning (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://link.springer.com/10.1007/s12351-015-0213-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:operea:v:16:y:2016:i:3:d:10.1007_s12351-015-0213-x

Ordering information: This journal article can be ordered from
https://www.springer ... search/journal/12351

DOI: 10.1007/s12351-015-0213-x

Access Statistics for this article

Operational Research is currently edited by Nikolaos F. Matsatsinis, John Psarras and Constantin Zopounidis

More articles in Operational Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().