This paper proposes a new hybrid algorithm for supplier selection and evaluation for quantitative, qualitative factors in supply chain management. Supplier selection and evaluation is formulated by integrating Multi-criteria decision making approach such as Analytic hierarchy process(AHP) improved by Rough set theory and Technique for order performance by similarity to ideal solution (TOPSIS) to rank the suppliers based on their overall performances. Rough set theory is used to screen the suppliers by the decision makers. AHP was applied to determine the relative weights of evaluation criteria. TOPSIS was applied to rank suppliers in terms of their overall performances. This method helps the decision maker to select the best supplier who meets all the requirements of supply chain management. To evaluate the algorithm a case study is done in high technology Company named Multi-Flex Lami-Print Ltd which manufactures Flexible Packaging materials in India.
[1]
Ching-Lai Hwang,et al.
Manufacturing plant location analysis by multiple attribute decision making: part II—multi-plant strategy and plant relocation
,
1985
.
[2]
Tien-Chin Wang,et al.
Applying consistent fuzzy preference relations to partnership selection
,
2007
.
[3]
Weijun Xia,et al.
Supplier selection with multiple criteria in volume discount environments
,
2007
.
[4]
Francis Eng Hock Tay,et al.
Economic and financial prediction using rough sets model
,
2002,
Eur. J. Oper. Res..
[5]
Diyar Akay,et al.
A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method
,
2009,
Expert Syst. Appl..
[6]
Szymon Wilk,et al.
ROSE - Software Implementation of the Rough Set Theory
,
1998,
Rough Sets and Current Trends in Computing.