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   supplier selection among alternative scenarios by data envelopment analysis  
   
نویسنده vaez-ghasemi mohsen
منبع iranian journal of optimization - 2015 - دوره : 7 - شماره : 2 - صفحه:815 -821
چکیده    a considerable problem in competitive trade world is choosing the best supply chain. as a result in much more serious circumstances of competitions looking for the best supplier for manufacturing, for preparing raw material, is very significant. meantime suppliers have different scenarios to be fulfilled, such as changing selection variables like leadtime, transportation cost and transportation path. in this paper a mathematical model using data envelopment analysis (dea) technique and binary algorithm for selecting suppliers with different scenarios is used which can evaluate suppliers with variable preferences and replacement for other suppliers.a considerable problem in competitive trade world is choosing the best supply chain. as a result in much more serious circumstances of competitions looking for the best supplier for manufacturing, for preparing raw material, is very significant. meantime suppliers have different scenarios to be fulfilled, such as changing selection variables like leadtime, transportation cost and transportation path. in this paper a mathematical model using data envelopment analysis (dea) technique and binary algorithm for selecting suppliers with different scenarios is used which can evaluate suppliers with variable preferences and replacement for other suppliers.
کلیدواژه supply chain management ,data envelopment analysis ,mixed integer programming ,binary variables
آدرس islamic azad university, rasht branch, department of mathematics, iran
پست الکترونیکی mohsen.vaez@iaurasht.ac.ir
 
 

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