@inproceedings{4140aa2a013d4a638da08228ff4d55a6,
title = "Three echelon supply chain design with supplier evaluation",
abstract = "An effective supply chain management (SCM) facilitates companies to react to changing demand by swiftly communicating their needs to the supplier. Optimizing a supply chain (SC) performance is a key factor for success in long term SC relationships. Substantial information such as price, delivery time percentage and acceptance percentage are discussed in the process. Imprecise demand as one of the factors is added in the same process that fuzzifies coordination between buyer and supplier. The paper considers non-deterministic conditions in the environment of business, coordination in procurement and distribution in a supplier selection problem and a fuzzy model with two objectives is defined. The proposed model is a “fuzzy bi-objective mixed integer nonlinear” problem. To process the solution the fuzzy model is converted into crisp and further fuzzy goal programming approach is employed. The model is validated with the help of a real case problem.",
keywords = "Fuzzy logics, Supplier selection, Supply chain coordination, Truckload and less than truckload",
author = "Kanika Gandhi and Jha, \{P. C.\} and Kannan Govindan and Diego Galar",
note = "Publisher Copyright: {\textcopyright} Springer India 2014.; 3rd International Conference on Soft Computing for Problem Solving, SocProS 2013 ; Conference date: 26-12-2013 Through 28-12-2013",
year = "2014",
doi = "10.1007/978-81-322-1768-8\_74",
language = "English",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "867--881",
editor = "Kusum Deep and Atulya Nagar and Millie Pant and Bansal, \{Jagdish Chand\}",
booktitle = "Proceedings of the 3rd International Conference on Soft Computing for Problem Solving - SocProS 2013",
address = "Germany",
}