Energy-efficient bi-objective manufacturing scheduling with intermediate buffers using a three-stage genetic algorithm-Reference-Cited by-同舟云学术

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Energy-efficient bi-objective manufacturing scheduling with intermediate buffers using a three-stage genetic algorithm

Published:2020-07-17 Issue:1 Volume:39 Page:289-304
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Zhang Wenyu¹,Ding Jiepin¹,Wang Yan¹,Zhang Shuai¹,Zhuang Xiaoyu¹

Affiliation:

1. School of Information Management and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference43 articles.

1. Energy-efficient scheduling in manufacturing companies: a review and research framework;Gahm;European Journal of Operational Research,2015

2. A memetic differential evolution algorithm for energy-efficient parallel machine scheduling;Wu;Omega,2018

3. A framework to minimise total energy consumption and total tardiness on a single machine;Mouzon;International Journal of Sustainable Engineering,2008

4. Resource cost aware scheduling;Carrasco;European Journal of Operational Research,2018

5. Extracting new dispatching rules for multi-objective dynamic flexible job shop scheduling with limited buffer spaces;Teymourifar;Cognitive Computation,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bibliometric Method for Manufacturing Servitization: A Review and Future Research Directions;Sustainability;2022-07-18

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