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Integrated multi-layer representation and ant colony search for product selective disassembly planning

  • Published:2016-01 Issue: Volume:75 Page:13-26
  • ISSN:0166-3615
  • Container-title:Computers in Industry
  • language:en
  • Short-container-title:Computers in Industry

Author:

Luo Yongtao,Peng Qingjin,Gu Peihua

Funder

Discovery Grants

GETS Grant

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference51 articles.

1. Disassembly sequence planning based on the simulated annealing and genetic algorithm;Xie;Mech. Eng.,2007

2. Disassembly sequence planning for product maintenance;Luo,2012

3. Disassembly process information model for remanufacturing;Feng;J. Comput. Inf. Sci. Eng. Trans. ASME,2013

4. Flexible disassembly planning considering product conditions;Ullerich;Int. J. Prod. Res.,2013

5. Evaluating the end-of-life value of a product and improving it by redesign;Pnueli;Int. J. Prod. Res.,1997

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2. A novel reinforcement learning framework for disassembly sequence planning using Q-learning technique optimized using an enhanced simulated annealing algorithm;Artificial Intelligence for Engineering Design, Analysis and Manufacturing;2024

3. Modeling for Adaptable Design;Adaptable Design;2023-12-15

4. A Review of Prospects and Opportunities in Disassembly With Human–Robot Collaboration;Journal of Manufacturing Science and Engineering;2023-12-04

5. Reinforcement learning for disassembly sequence planning optimization;Computers in Industry;2023-10
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