Digital-twin driven energy-efficient multi-crane scheduling and crane number selection in workshops-Reference-Cited by-同舟云学术

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Digital-twin driven energy-efficient multi-crane scheduling and crane number selection in workshops

Published:2022-02 Issue: Volume:336 Page:130175
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Zhao Ning^ORCID,Fu Zhuorui^ORCID,Sun Yu,Pu Xuening^ORCID,Luo Lei

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference57 articles.

1. The quay crane scheduling problem with non-crossing and safety clearance constraints: an exact solution approach;Abou Kasm;Comput. Oper. Res.,2019

2. A simulation-based Genetic Algorithm approach for the quay crane scheduling under uncertainty;Al-Dhaheri;Simulat. Model. Pract. Theor.,2016

3. Energy management systems for a network of electrified cranes with energy storage;Alasali;Int J Elec Power,2019

4. Combined quay crane assignment and quay crane scheduling with crane inter-vessel movement and non-interference constraints;Alsoufi;J. Oper. Res. Soc.,2018

5. A generalized classification scheme for crane scheduling with interference;Boysen;Eur. J. Oper. Res.,2017

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