Fuzzy Programming Model for Procurement Management under Delivery Shortage

2015 ◽  
Vol 54 (16) ◽  
pp. 4616-4624 ◽  
Author(s):  
Maria Laura Cunico ◽  
Aldo Vecchietti
2012 ◽  
Vol 468-471 ◽  
pp. 668-673 ◽  
Author(s):  
Hua Jiang ◽  
Zhi Gang Lu

An integrated supplier selection problem under fuzzy environment is studied in this paper. Firstly, the linear weight method is used to calculate the scores of suppliers according to their different attributes, such as: quality, service, warranty, delivery, reputation and position, which are assumed as fuzzy variables. Secondly, a fuzzy expected value programming model and a fuzzy chance-constrained programming model are proposed to select the best combination of the suppliers and determine the order quantities. A hybrid intelligent algorithm, based on fuzzy simulation, genetic algorithm and neural network, is used to solve the two models. Finally, a numerical example is given to illustrate the effectiveness of the proposed models.


2012 ◽  
Vol 3 (4) ◽  
pp. 617-626 ◽  
Author(s):  
Mahdi Naderi-Beni ◽  
Reza Tavakkoli-Moghaddam ◽  
Bahman Naderi ◽  
Ehsan Ghobadian ◽  
Alireza Pourrousta

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