Supply chain planning under uncertainty: a fuzzy linear programming approach

Author(s):  
David Peidro ◽  
Josefa Mula ◽  
Raul Poler
Author(s):  
DAVID PEIDRO ◽  
JOSEFA MULA ◽  
RAÚL POLER

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.


2011 ◽  
Vol 10 (6) ◽  
pp. 594-598 ◽  
Author(s):  
Mustafa Mamat ◽  
Yeni Rokhayati ◽  
Noor Maizura Mohamad Noor ◽  
Ismail Mohd

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