Paper Information

Journal:   IRANIAN JOURNAL OF TRADE STUDIES (IJTS)   SUMMER 2007 , Volume 11 , Number 43; Page(s) 121 To 152.
 
Paper: 

A HYBRID SUPPLIER SELECTION MODEL USING GENETIC ALGORITHM

 
 
Author(s):  RAZMI J., JOULAEI F., SHAKHS NIAEI M.
 
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Abstract: 

In this paper, an integrated model is presented which considers supplier selection problem and lot-sizing problem simultaneously. The proposed approach encompasses three phases and considers both quantitative and qualitative criteria in addition to inventory model. The inventory model contains purchasing, ordering, and warehousing costs. The fitness function is defined in a MODM model.
The tackled problem, MLSSP, is a kind of complex combinatorial problems and consequently seems to have a high time complexity. A genetic algorithm is implemented to solve the model. In final section, validation of the proposed model has been achieved by solving two existing published problems and the same results achieved raised in an acceptable CPU time.

 
Keyword(s): SUPPLIER SELECTION, LOT-SIZING, MULTI OBJECTIVE DECISION MAKING (MODM), AHP, GENETIC ALGORITHM
 
References: 
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