Today’s market is highly competitive. The role of
supply chain managers is to select best suppliers because
major part of the capital is spent on purchasing raw
material/semi finished items. The strategic decision of
supply chain is to minimize the expenses on the purchase of
items. There are several criteria involved in this problem;
such as cost, quality, on-time delivery and long term
relationship. Some of the criteria are quantitative in nature
and some the criteria are qualitative in nature. Qualitative
criteria are expressed in triangular fuzzy numbers. It
requires defuzzification; the graded mean integration (GMI)
representation method is used. Again all of these criteria are
conflicting in nature that’s why fuzzy programming is used.
For formulating the crisp model, it requires defuzzification;
fuzzy compensatory operator is applied. This model gives us
the idea about supplier selection as well as order quantity
from each selected suppliers. Also, the numerical example is
given to illustrate the above methods.
Real Time Impact Factor:
Pending
Author Name: Raosaheb V. Latpate
URL: View PDF
Keywords: Fuzzy; Supplier; Supply chain; Multi- Objective; Multi-item
ISSN: 2347-5552
EISSN: 2347-5552
EOI/DOI:
Add Citation
Views: 4124
