Integrated remanufacturing scheduling of disassembly, reprocessing and reassembly considering energy efficiency and stochasticity through group teaching optimization and simulation approaches-Reference-Cited by-同舟云学术

Integrated remanufacturing scheduling of disassembly, reprocessing and reassembly considering energy efficiency and stochasticity through group teaching optimization and simulation approaches

Published:2024-01-04 Issue: Volume: Page:1-22
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Fu Yaping¹,Zhang Zhengpei¹,Liang Pei¹²,Tian Guangdong³⁴,Zhang Chaoyong²

Affiliation:

1. School of Business, Qingdao University, Qingdao, People’s Republic of China

2. State Key Laboratory of Digital Manufacturing Equipment & Technology, Huazhong University of Science & Technology, Wuhan, People’s Republic of China

3. School of Mechanical–Electrical and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing, People’s Republic of China

4. Key Laboratory of High Efficiency and Clean Mechanical Manufacture (Ministry of Education), Shandong University, Jinan, People’s Republic of China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province\

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2023.2296538

Reference67 articles.

1. Techno-economic and environmental disassembly planning of lithium-ion electric vehicle battery packs for remanufacturing

2. Reinforcement learning for disassembly sequence planning optimization

3. A novel shuffled frog-leaping algorithm with reinforcement learning for distributed assembly hybrid flow shop scheduling

4. An adaptive genetic algorithm-based and AND/OR graph approach for the disassembly line balancing problem

5. Discrete Whale Optimization Algorithm for Disassembly Line Balancing With Carbon Emission Constraint

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