Single-machine scheduling with energy generation and storage systems-Reference-Cited by-同舟云学术

Single-machine scheduling with energy generation and storage systems

Published:2021-11-21 Issue: Volume: Page:1-20
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Kim Hyun-Jung¹,Kim Eun-Seok²^ORCID,Lee Jun-Ho³^ORCID,Tang Lixin⁴,Yang Yang⁴

Affiliation:

1. Department of Industrial & Systems Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

2. School of Business and Management, Queen Mary University of London, London, UK

3. School of Business, Chungnam National University, Daejeon, Republic of Korea

4. Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, People's Republic of China

Funder

National Research Foundation of Korea

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.2000655

Reference37 articles.

1. Production scheduling optimisation with machine state and time-dependent energy costs

2. Extended Genetic Algorithm for solving open-shop scheduling problem

3. Araceli, F.P., L. Peter, and V. Tiffany. 2019. “Industry: Tracking Clean Energy Progress”. https://www.iea.org/tcep/industry/.

4. An efficient greedy insertion heuristic for energy-conscious single machine scheduling problem under time-of-use electricity tariffs

5. Energy-conscious unrelated parallel machine scheduling under time-of-use electricity tariffs

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