Network DEA-based biobjective optimization of product flows in a supply chain
Sebastian Lozano and
Belarmino Adenso-Diaz ()
Additional contact information
Sebastian Lozano: University of Seville
Belarmino Adenso-Diaz: Universidad de Oviedo
Annals of Operations Research, 2018, vol. 264, issue 1, No 12, 307-323
Abstract:
Abstract This paper deals with planning the product flows along a supply chain (SC) in which there are product losses in the nodes and in the arcs. Given the demand by each retailer, appropriate quantities to be procured from the different suppliers must be decided and the routing of the product along the SC must be determined. Care must be taken because, due to losses, the amount of product that will be finally available at the retailers is lower than the amount of product procured. The objective is twofold: minimizing total costs and minimizing product losses. The proposed approach leverages the existence of data on the flows in previous periods. With those observed flows, a Network Data Envelopment Analysis technology is inferred which allows the computing of any feasible operating point. The resulting biobjective optimization problem can be solved using the weighted Tchebycheff method.
Keywords: Supply chain; Spoilage; NDEA; Cost and losses minimization; Weighted Tchebycheff (search for similar items in EconPapers)
Date: 2018
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/s10479-017-2653-6 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:annopr:v:264:y:2018:i:1:d:10.1007_s10479-017-2653-6
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479
DOI: 10.1007/s10479-017-2653-6
Access Statistics for this article
Annals of Operations Research is currently edited by Endre Boros
More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().