Paper Title:
Designing a Multi Echelon Flexible Logistics Network Using Co-Evolutionary Immune-Particle Swarm Optimization with Penetrated Hyper-Mutation (COIPSO-PHM)
  Abstract

The strategic design and operation of outbound logistics network in an automotive manufacturing supply chain is directly related with the competitive strategy adopted by the firm. We discuss here an outbound logistics network model with four echelons and flexible delivery modes by incorporating cross-dock facility in the network. The paper aims to achieve a minimum total logistics cost for flexible delivery modes adopted in the network. The mathematical model is formulated as a mixed integer programming model and solved by using a hybrid algorithm named co-evolutionary immune-particle swarm optimization with penetrated hyper-mutation (COIPSO-PHM). The proposed model is combinatorial in nature owing to varying problem instances. The proposed solution methodology is tested on a sample data set mimicking the real life situation and the results are found to be satisfactory.

  Info
Periodical
Chapter
Chapter 19: Nanofabrication, Nanometrology and Applications
Edited by
Wu Fan
Pages
3713-3719
DOI
10.4028/www.scientific.net/AMM.110-116.3713
Citation
N. C. Hiremath, S. Sahu, M. K. Tiwari, "Designing a Multi Echelon Flexible Logistics Network Using Co-Evolutionary Immune-Particle Swarm Optimization with Penetrated Hyper-Mutation (COIPSO-PHM)", Applied Mechanics and Materials, Vols. 110-116, pp. 3713-3719, 2012
Online since
October 2011
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