Evaluating green suppliers: improving supplier performance with DEA in the presence of incomplete data

Imre Dobos () and Gyöngyi Vörösmarty

Central European Journal of Operations Research, 2019, vol. 27, issue 2, No 13, 483-495

Abstract: Abstract The role of the supplier and relationship management with the supply base in purchasing is increasingly appreciated. This highlights the importance of pre- and post-qualification data, and the need for the focus to shift from selection to rating and mapping opportunities for development in the process of relationship management. From a decision-theory perspective, this means that suppliers need to be informed about how specific performance indicators should be improved to increase their prospects of qualifying for selection. From the supply management point of view, it is important that the efficiency of suppliers is increased to the level at which criteria are met. We employ a DEA model to parameterize the related data, making it treatable using fuzzy or interval DEA models. The problems associated with missing and imprecise data in such models can also be solved using parametric linear programming. However, this approach means that technology coefficients are also parameterized, for which good analytical solutions are lacking. We therefore approach the problem using simulation.

Keywords: DEA; Green supplier evaluation; Parametric linear programing; Missing data; Imprecise data (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://link.springer.com/10.1007/s10100-018-0544-9 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:cejnor:v:27:y:2019:i:2:d:10.1007_s10100-018-0544-9

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/10100

DOI: 10.1007/s10100-018-0544-9

Access Statistics for this article

Central European Journal of Operations Research is currently edited by Ulrike Leopold-Wildburger

More articles in Central European Journal of Operations Research from Springer, Slovak Society for Operations Research, Hungarian Operational Research Society, Czech Society for Operations Research, Österr. Gesellschaft für Operations Research (ÖGOR), Slovenian Society Informatika - Section for Operational Research, Croatian Operational Research Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().