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An adaptable optimizer for green component design

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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.

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Authors and Affiliations

  1. Department of Industrial Management and Enterprise Information, Aletheia University, 32 Chen-Li Street, Tamsui, New Taipei City, 251, Taiwan

    Chen-Fang Tsai & Shin-Li Lu

  2. Department of Information Management, Shih Chien University, Kaohsiung Campus, Taipei, Taiwan

    Jen-Hsiang Chen

  3. Faculty of Engineering and Computing, Coventry University, Coventry, UK

    Kuo-Ming Chao & Nazaraf Shah

Authors
  1. Chen-Fang Tsai
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  2. Shin-Li Lu
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  3. Jen-Hsiang Chen
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  4. Kuo-Ming Chao
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  5. Nazaraf Shah
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Correspondence to Shin-Li Lu.

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Tsai, CF., Lu, SL., Chen, JH. et al. An adaptable optimizer for green component design. Inf Syst E-Bus Manage 13, 193–210 (2015). https://doi.org/10.1007/s10257-014-0254-3

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  • DOI: https://doi.org/10.1007/s10257-014-0254-3

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