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Chinese Journal of Management Science ›› 2007, Vol. 15 ›› Issue (3): 75-79.

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A Genetic Algorithm Approach to Optimizing Supply Logistics Network with Batch Discount

WANG Jian-hua1,2, LI Nan1, XU Bin1   

  1. 1. Management School, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China;
    2. School of Business and Administration, Jiangsu University, Zhenjiang 212013, China
  • Received:2006-04-28 Revised:2007-04-14 Online:2007-06-30 Published:2007-06-30

Abstract: according to the characteristics of optimizing the supply chains with batch discount and transportation,the paper expatiates the conception of supply logistic network(SLN)and the optimization parameters of SLN:nodes,roads and flow rates,then on the basis of minimizing the total supply cost which indudes order cost and logistics cost,builds a mathematical model of SLNs optimization problem and designs a genetic algorithm for this problem,by doing simulation experiments,testifies that genetic algorithm could dissolve SLNs optimation problems efficiently and practically.

Key words: aupply logistic network(SLN), optimization, genetic algorithm, simulation

CLC Number: