A novel carbon reduction engineering method-based deep Q-learning algorithm for energy-efficient scheduling on a single batch-processing machine in semiconductor manufacturing-Reference-Cited by-同舟云学术

A novel carbon reduction engineering method-based deep Q-learning algorithm for energy-efficient scheduling on a single batch-processing machine in semiconductor manufacturing

Published:2023-09-14 Issue: Volume: Page:1-24
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Kong Min¹²,Wang Weizhong¹,Deveci Muhammet³⁴,Zhang Yajing¹,Wu Xuzhong¹,Coffman D'Maris³

Affiliation:

1. School of Economics and Management, Anhui Normal University, Wuhu, People’s Republic of China

2. School of Management, Hefei University of Technology, Hefei, People’s Republic of China

3. The Bartlett School of Sustainable Construction, University College London, London, UK

4. Department of Industrial Engineering, Turkish Naval Academy, National Defence University, Tuzla, Istanbul, Turkey

Funder

Ministry of Education of Humanities and Social Science

China Postdoctoral Science Foundation

Educational Commission of Anhui Province

Natural Science Foundation of Anhui Province

Anhui Province University Collaborative Innovation

Science and Technology Plan Project of Wuhu

National Natural Science Foundation of China

Key Research and Development Project of Anhui Province

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2023.2252932

Reference83 articles.

1. A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem

2. Constrained binary artificial bee colony to minimize the makespan for single machine batch processing with non-identical job sizes

3. Enhanced grouping league championship and optics inspired optimization algorithms for scheduling a batch processing machine with job conflicts and non-identical job sizes

4. Scheduling a batch processing machine with non-identical job sizes

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