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Fuzzy Two-Stage Supply Chain Problem and Its Intelligent Algorithm

  • Guoli Wang
  • Yankui Liu
  • Mingfa Zheng
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5552)

Abstract

This paper presents a new class of fuzzy two-stage supply chain problems, in which transportation costs and demands are characterized by fuzzy variables with known possibility distributions. Since fuzzy parameters are often with infinite supports, the conventional optimization algorithms cannot be used to solve the proposed supply chain problem directly. To avoid this difficulty, an approximation method is developed to turn the original supply chain problem into a finite dimensional one. Generally, the approximating supply chain problem is neither convex nor linear. So, to solve the approximating supply chain problem, we design a hybrid algorithm by integrating approximation method, neural network (NN) and particle swarm optimization (PSO). Finally, one numerical example is presented to demonstrate the effectiveness of the designed algorithm.

Keywords

Two-stage fuzzy programming Supply chain problem Approximation method Neural network Intelligent algorithm 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Guoli Wang
    • 1
  • Yankui Liu
    • 1
  • Mingfa Zheng
    • 2
  1. 1.College of Mathematics & Computer ScienceHebei University BaodingHebeiChina
  2. 2.Department of Applied Mathematics & PhysicsAir Force Engineering University Xi’anShanxiChina

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