A closed-loop supply chain model with uncertain return and learning-forgetting effect in production under consignment stock policy

B. C. Giri () and M. Masanta ()
Additional contact information
B. C. Giri: Jadavpur University
M. Masanta: Jadavpur University

Operational Research, 2022, vol. 22, issue 2, No 4, 947-975

Abstract: Abstract This paper considers a manufacturer–retailer closed-loop supply chain where the manufacturer’s production process is subject to both learning and forgetting, and inventories of the manufacturer and the retailer are managed by consignment stock policy. The demand of the finished product is linearly dependent on the retail price. The return rate of used product is random and returned used items are inspected to select those which qualify for remanufacturing. The proposed model is demonstrated with a numerical example. A sensitivity analysis is performed to identify the parameters which have significant impacts on the optimal decisions of the supply chain system. Some managerial insights of the model leading to improved strategies beneficial for firms and environment are also discussed.

Keywords: Supply chain; Remanufacturing; Consignment stock policy; Learning and forgetting; Random return (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s12351-020-00571-9 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:22:y:2022:i:2:d:10.1007_s12351-020-00571-9

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

DOI: 10.1007/s12351-020-00571-9

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 ().