A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment

2010 ◽  
Vol 205 (1) ◽  
pp. 65-80 ◽  
Author(s):  
David Peidro ◽  
Josefa Mula ◽  
Mariano Jiménez ◽  
Ma del Mar Botella
Keyword(s):  
Linear Programming ◽  
Supply Chain ◽  
Fuzzy Linear Programming ◽  
Supply Chain Planning ◽  
Uncertainty Environment

FUZZY LINEAR PROGRAMMING FOR SUPPLY CHAIN PLANNING UNDER UNCERTAINTY

2010 ◽  
Vol 09 (03) ◽  
pp. 373-392 ◽  
Author(s):  
DAVID PEIDRO ◽  
JOSEFA MULA ◽  
RAÚL POLER
Keyword(s):  
Linear Programming ◽  
Supply Chain ◽  
Demand Uncertainty ◽  
Programming Model ◽  
Fuzzy Model ◽  
Fuzzy Linear Programming ◽  
Mixed Integer ◽  
Planning Problem ◽  
Planning Under Uncertainty ◽  
Supply Chain Planning

A new fuzzy mathematical programming model for supply chain planning under supply, process and demand uncertainty is proposed in this paper. A tactical supply chain planning problem has been formulated as a fuzzy mixed integer linear programming model where data are ill-known and modeled by fuzzy numbers with modified s-curve membership functions. The fuzzy model provides alternative decision plans to the decision maker (DM) for different degrees of satisfaction. Finally, the proposed model is tested by using data from a real automobile supply chain.

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