Fuzzy optimization for supply chain planning under supply, demand and process uncertainties
In today's global marketplace, individual firms do not compete as independent entities rather as ail integral part of a supply chain. This paper proposes a fuzzy mathematical programming model for supply chain planning which considers supply, demand and process uncertainties. The model has been formulated as a fuzzy mixed-integer linear programming model where data are ill-known and modelled by triangular fuzzy numbers. The fuzzy model provides the decision maker with alternative decision plans for different degrees of satisfaction. This proposal is tested by using data from a real automobile supply chain. (C) 2009 Elsevier B.V. All rights reserved.
supply chain planning fuzzy mathematical programming uncertainty modelling fuzzy sets