A Q-Learning Based Hybrid Meta-Heuristic for Integrated Scheduling of Disassembly and Reprocessing Processes Considering Product Structures and Stochasticity-Reference-Cited by-同舟云学术

A Q-Learning Based Hybrid Meta-Heuristic for Integrated Scheduling of Disassembly and Reprocessing Processes Considering Product Structures and Stochasticity

Published:2024-06 Issue:2 Volume:4 Page:184-209
ISSN:2096-9929
Container-title:Complex System Modeling and Simulation
language:
Short-container-title:Complex Syst. Model. Simul.

Author:

Wang Fuquan¹,Fu Yaping¹,Gao Kaizhou²,Wu Yaoxin³,Gao Song⁴

Affiliation:

1. School of Business, Qingdao University,Qingdao,China,266071

2. Macau Institute of Systems Engineering, Macau University of Science and Technology,Macao,China,999078

3. Eindhoven University of Technology,Department of Industrial Engineering & Innovation Sciences,Eindhoven,the Netherlands,5600 MB

4. College of Information Science and Engineering, Northeastern University,Shenyang,China,110819

Funder

Science and Technology Development Fund

Shandong Province Outstanding Youth Innovation Team Project of Colleges and Universities

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Guangdong Basic and Applied Basic Research Foundation

Zhuhai Industry-University-Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/9420428/10598207/10598210.pdf?arnumber=10598210

Reference72 articles.

1. A multi-stage supply chain disruption mitigation strategy considering product life cycle during COVID-19

2. The effect of intelligent manufacturing on remanufacturing decisions

3. Multi-product disassembly line balancing optimization method for high disassembly profit and low energy consumption with noise pollution constraints

4. Carbon footprint-based optimization method for remanufacturing machining paths

5. Modeling and scheduling for remanufacturing systems with disassembly, reprocessing, and reassembly considering total energy consumption

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