dc.contributor.authors |
Kubat, C; Yuce, B; |
|
dc.date.accessioned |
2020-02-25T11:41:33Z |
|
dc.date.available |
2020-02-25T11:41:33Z |
|
dc.date.issued |
2012 |
|
dc.identifier.citation |
Kubat, C; Yuce, B; (2012). A hybrid intelligent approach for supply chain management system. JOURNAL OF INTELLIGENT MANUFACTURING, 23, 1244-1237 |
|
dc.identifier.issn |
0956-5515 |
|
dc.identifier.uri |
https://doi.org/10.1007/s10845-010-0431-2 |
|
dc.identifier.uri |
https://hdl.handle.net/20.500.12619/48303 |
|
dc.description.abstract |
The process of supplier selection is one of the key processes in the industry since the suppliers play a key role in regards to the competitive advantage. It is therefore important to identify and select good suppliers. Supplier selection can be considered a decision-making problem with many criteria, which include both qualitative and quantitative elements, such as; purchase cost, quality level, supplier risk etc. The best process to be designed for selecting the suppliers may require a compromise in terms of these elements. A general framework, which combines Analytic Hierarchy Process (AHP), Fuzzy AHP and Genetic Algorithm (GA) in order to determine the best set of suppliers, is proposed in this study. |
|
dc.language |
English |
|
dc.publisher |
SPRINGER |
|
dc.subject |
Engineering |
|
dc.title |
A hybrid intelligent approach for supply chain management system |
|
dc.type |
Article |
|
dc.identifier.volume |
23 |
|
dc.identifier.startpage |
1237 |
|
dc.identifier.endpage |
1244 |
|
dc.contributor.department |
Sakarya Üniversitesi/Fen Bilimleri Enstitüsü/Endüstri Mühendisliği Anabilim Dalı |
|
dc.contributor.saüauthor |
Kubat, Cemalettin |
|
dc.contributor.saüauthor |
Yüce, Barış |
|
dc.relation.journal |
JOURNAL OF INTELLIGENT MANUFACTURING |
|
dc.identifier.wos |
WOS:000306436200028 |
|
dc.identifier.doi |
10.1007/s10845-010-0431-2 |
|
dc.contributor.author |
Kubat, Cemalettin |
|
dc.contributor.author |
Yüce, Barış |
|