Paper Title:
Genetic Algorithm Solution for a Member Selection Problem of Supply Chain Network
  Abstract

This paper studies a member selection problem of a supply chain network consisting of many different projects, such as supply, manufacturing, distribution, and logistics. It first takes those different projects as a whole one, considers the principal-agent relationships among these enterprises and establishes models using the nonanalytical objective function. It also proposes a genetic algorithm to generate a relatively reasonable solution and validates it with an example.

  Info
Periodical
Advanced Materials Research (Volumes 204-210)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
2140-2143
DOI
10.4028/www.scientific.net/AMR.204-210.2140
Citation
P. Yang, "Genetic Algorithm Solution for a Member Selection Problem of Supply Chain Network", Advanced Materials Research, Vols. 204-210, pp. 2140-2143, 2011
Online since
February 2011
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Price
$32.00
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