Business Commons^™

An Efficient Controlled Elitism Non-Dominated Sorting Genetic Algorithm For Multi-Objective Supplier Selection Under Fuzziness, Vahid Hajipour, Madjid Tavana, Francisco Javier Santos-Arteaga, Alireza Alinezhad, Debora Di Caprio

Business Systems and Analytics Faculty Work

Supplier selection and order allocation constitute vital strategic decisions that must be made by managers within supply chain management environments. In this paper, we propose a multi-objective fuzzy model for supplier selection and order allocation in a two-level supply chain with multi-period, multi-source, and multi-product characteristics. The supplier evaluation objectives considered in this model include cost, delay, and electronic-waste (e-waste) minimization, as well as coverage and weight maximization. A signal function is used to model the price discount offered by the suppliers. Triangular fuzzy numbers are used to deal with the uncertainty of delay and e-waste parameters while the fuzzy …