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International Conference on Bio-Inspired Computing: Theories and Applications

BIC-TA 2019: Bio-inspired Computing: Theories and Applications pp 341–354Cite as

Research on Two-Level Inventory Optimization Algorithm for Repairable Spare Parts Based on Improved Differential Evolution

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1159))

Abstract

For solving the two-level inventory optimization model of precious repairable spare parts, an improved differential evolution algorithm is proposed to solve the model in view of the shortcomings of the traditional marginal analysis method. The difference between the worst solution and the best solution of the algorithm is 1.93% after 30 runs, the standard deviation is 0.6% of the mean, and the result is reduced by 4.85% and 6.24%, respectively, compared with the traditional marginal analysis method and the VMETRIC software calculation result. It shows that the algorithm is stable and has certain superiority.

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Author information

Authors and Affiliations

  1. Institute of Mechanical Engineering, Beijing University of Science and Technology, Beijing, 100083, China

    Tao Gu & Sujian Li

  2. Provincial Key Laboratory of Food Logistics Equipment Technology Research, Zhejiang University of Science and Technology, Hangzhou, 310023, China

    Jie Li & Jie Jiao

Authors
  1. Tao Gu
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  2. Sujian Li
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  3. Jie Li
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  4. Jie Jiao
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Corresponding author

Correspondence to Tao Gu .

Editor information

Editors and Affiliations

  1. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  2. Zhengzhou University, Zhengzhou, China

    Jing Liang

  3. Zhongyuan University of Technology, Zhengzhou, China

    Boyang Qu

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© 2020 Springer Nature Singapore Pte Ltd.

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Cite this paper

Gu, T., Li, S., Li, J., Jiao, J. (2020). Research on Two-Level Inventory Optimization Algorithm for Repairable Spare Parts Based on Improved Differential Evolution. In: Pan, L., Liang, J., Qu, B. (eds) Bio-inspired Computing: Theories and Applications. BIC-TA 2019. Communications in Computer and Information Science, vol 1159. Springer, Singapore. https://doi.org/10.1007/978-981-15-3425-6_27

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  • DOI: https://doi.org/10.1007/978-981-15-3425-6_27

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3424-9

  • Online ISBN: 978-981-15-3425-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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