Abstract
Different entities in a supply chain network operate in a highly interdependent environment when it comes to improving performance of the network in terms of objectives such as delivery performance, quality assurance and cost minimization, etc. In this research, an attempt has been made to evaluate the supplier performance by adopting evolutionary fuzzy system owing to the linguistic nature of the attributes associated with the suppliers and manufacturing units. The proposed methodology offers consistently good performance when applied to a variety of standard problems related to evaluation of supplier's performance available in the literatures.
Original language | English |
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Pages (from-to) | 735-744 |
Number of pages | 10 |
Journal | Journal of Manufacturing Technology Management |
Volume | 15 |
Issue number | 8 |
DOIs | |
Publication status | Published - 27 Dec 2004 |
Externally published | Yes |
Keywords
- Supplier evaluation
- Supply chain management
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Computer Science Applications
- Strategy and Management
- Industrial and Manufacturing Engineering