Abstract
The success of a supply chain is highly dependent on selection of best suppliers. These decisions are an important component of production and logistics management for many firms. Little attention is given in the literature to the simultaneous consideration of cardinal and ordinal data in supplier selection process. This paper proposes a new integrated data envelopment analysis (DEA) model which is able to identify most efficient supplier in presence of both cardinal and ordinal data. Then, utilizing this model, an innovative method for prioritizing suppliers by considering multiple criteria is proposed. As an advantage, our method identifies best supplier by solving only one mixed integer linear programming (MILP). Applicability of proposed method is indicated by using data set includes specifications of 18 suppliers.
| Original language | English |
|---|---|
| Pages (from-to) | 14726-14731 |
| Number of pages | 6 |
| Journal | Expert Systems with Applications |
| Volume | 38 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - Nov 2011 |
| Externally published | Yes |
Keywords
- Cardinal and ordinal data
- Data envelopment analysis
- Supplier ranking
- Supplier selection
ASJC Scopus subject areas
- General Engineering
- Computer Science Applications
- Artificial Intelligence