TY  - JOUR
T1  - Application of Fuzzy Goal and Additive Fuzzy Goal Programming Approaches to Distributor Selection in Supply Chain
AU - , B. Chandra Mohana Reddy AU - , K. Rajagopal AU - , K. Hemachandra Reddy AU - , C. Nadha Muni Reddy AU - , K. Vijaya Kumar Reddy 
JO  - Journal of Engineering and Applied Sciences
VL  - 2
IS  - 10
SP  - 1533
EP  - 1538
PY  - 2007
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2007.1533.1538
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2007.1533.1538
KW  - Fuzzy goal
KW  -additive fuzzy
KW  -distributor
KW  -selection
KW  -supply chain
AB  - A supply chain, from an operations perspective, has three components: Sourcing or procurement, manufacturing and distribution and inventory disposal. The focus of this study is on decision making in the distributor selection and quota allocation, which is an important part of the supply chain of many firms. Such decision makings are may greatly affect a firm`s ability to compete in the market place as they account for large portion of a product`s production cost and may involve long-term contracts. In this study, the fuzzy goal and fuzzy additive goal programming approaches are applied for solving the distributor selection problem with multiple objectives, in which some of the parameters are fuzzy in nature. Because of all objectives and constraints are linear, the distributor selection problem has been formulated by using linear member ship function as a fuzzy goal and additive fuzzy goal programs. The formulated two programs are solved by using LINDO software. The proposed approaches have the capability to handle realistic situations in a fuzzy environment and provide a better decision tools for the distributor selection and quota allocation in a supply chain. The formulated fuzzy goal and additive fuzzy goal programs can be used to solve the real life problems.
ER  - 