2019
DOI: 10.1016/j.ejor.2018.06.044
|View full text |Cite
|
Sign up to set email alerts
|

An a posteriori decision support methodology for solving the multi-criteria supplier selection problem

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
43
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 74 publications
(44 citation statements)
references
References 75 publications
1
43
0
Order By: Relevance
“…Technology criteria are reflected by current manufacturing capacities, research and development (R&D) capacities, etc. [5,21,23,37,38].…”
Section: Economic Criteriamentioning
confidence: 99%
See 3 more Smart Citations
“…Technology criteria are reflected by current manufacturing capacities, research and development (R&D) capacities, etc. [5,21,23,37,38].…”
Section: Economic Criteriamentioning
confidence: 99%
“…Therefore, when making decisions, these firms consider the social impact of the performance of their suppliers. In current studies, social criteria often include the public disclosure of social performance, education and training program support, and employee health and safety [5,23,25,38,39].…”
Section: Social Criteriamentioning
confidence: 99%
See 2 more Smart Citations
“…Additionally, companies have increasingly been interested in reducing the number of suppliers to establish long-term relationships with reliable partners to improve the supply chain performance (Abdolshah, 2013;Kellner, Lienland, & Utz, 2018). Consequently, supplier selection is one of the most important and fundamental decisions in procurement and purchasing processes, drawing significant attention in the literature and practice due to the degree of difficulty involved in this multi-criteria decision-making process (Boran, Genç, Kurt, & Akay, 2009;Chai, Liu, & Ngai, 2013).…”
mentioning
confidence: 99%