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An adaptable optimizer for green component design

  • Chen-Fang Tsai
  • Shin-Li Lu
  • Jen-Hsiang Chen
  • Kuo-Ming Chao
  • Nazaraf Shah
Original Article

Abstract

This paper proposes an adaptive mechanism for improving the availability efficiency of green component design (GCD) process. The proposed approach incorporates a wide range of GCD strategies to increase availability of the recycled/reused/remanufactured components. We have also designed a self-adjusting mechanism to enhance the versatility and generality of a genetic algorithm (GA) to improve GCD availability efficiency. The mechanism allows refinement of the GA parameters for the selections of operators in each generation. Our research contribution includes the development of a novel mechanism for the evaluation of optimal selections of reproduction strategies, adjustment and optimization of the crossover and mutation rates in evolutions, and design of Taguchi Orthogonal Arrays with a GA optimizer. The effectiveness of the proposed algorithms has been examined in a GCD chain. From the experimental results, we can conclude that the proposed approach resulted in better reproduction optimization than the traditional ones.

Keywords

Green strategy Orthogonal Arrays Genetic algorithms 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Chen-Fang Tsai
    • 1
  • Shin-Li Lu
    • 1
  • Jen-Hsiang Chen
    • 2
  • Kuo-Ming Chao
    • 3
  • Nazaraf Shah
    • 3
  1. 1.Department of Industrial Management and Enterprise InformationAletheia UniversityNew Taipei CityTaiwan
  2. 2.Department of Information ManagementShih Chien UniversityTaipeiTaiwan
  3. 3.Faculty of Engineering and ComputingCoventry UniversityCoventryUK

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