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Title:      VENDOR SELECTION PROBLEM: NEW FORMULATION AND SOLUTION APPROACH
Author(s):      Sohail S. Chaudhry , Zhonglin Lei , Shiwei He
ISBN:      972-8924-09-7
Editors:      Nuno Guimarães, Pedro Isaías and Ambrosio Goikoetxea
Year:      2006
Edition:      Single
Keywords:      Vendor selection, stochastic chance-constrained programming, genetic algorithm.
Type:      Short Paper
First Page:      437
Last Page:      441
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      The paper describes a class of special stochastic chance-constrained programming models used in vendor selection problem. In our case the chance constraints models are converted to their respective deterministic equivalents, and then the equivalent deterministic models are obtained. A specific genetic algorithm was designed for the problem. The experiments demonstrated that the genetic algorithm and uncertain optimal models could be promising ways for analyzing uncertain intelligent business area as vender selection problem.
   

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