Optimal Scheduling of Distributed Resources in Multi area and Multi-station Optical Storage System Based on Improved Genetic Algorithm

Zhang, Xiangyu; Fang, Jun; Zou, Jingfan; Chen, Quan; Chen, Shuo; Hong, Jianfeng; Wang, Shuang

doi:10.1109/imcec55388.2022.10020044

2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) 2022

DOI: 10.1109/imcec55388.2022.10020044

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Optimal Scheduling of Distributed Resources in Multi area and Multi-station Optical Storage System Based on Improved Genetic Algorithm

Xiangyu Zhang

Jun Fang

Jingfan Zou³

et al.

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2023

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Multiobjective Optimization in Distributed Industry and Environmental Sustainability: a Systematic Literature Review

Dos Santos,

Costa,

Varela

2023

Rev. Ang. Cien

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With the growth of industrialization, researchers have also become increasingly concerned about environmental protection. Environmental issues have been one of the problems and one of the objectives to consider when it comes to production scaling problems, mainly minimizing energy consumption, and minimizing carbon emissions, as well as various other objectives to optimize. Measures that put pressure on organizations to pay more attention to the environment have been created, along with other measures, not only economic but also social. Good production scheduling allows organizations to be more successful in business, as it contributes to a better environment and society. Therefore, the search for processes that allow for more effective and efficient decision-making is becoming a subject of paramount importance to study. Sustainability is currently an urgent challenge for engineering and organizations. One of the ways to contribute to more sustainable manufacturing systems is the development of intelligent technologies and the sharing of manufacturing systems. This paper studies the literature on production scheduling approaches in distributed companies and their potential benefits for the environment and society, in addition to the economic benefits. In this way, the optimization of environmental, social, and economic measures in the planning and scheduling of production in extended company contexts, using approaches based on multiobjective optimization, is a primary focus of this work.

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Multiobjective Optimization in Distributed Industry and Environmental Sustainability: a Systematic Literature Review

Dos Santos,

Costa,

Varela

2023

Rev. Ang. Cien

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Optimal Scheduling of Distributed Resources in Multi area and Multi-station Optical Storage System Based on Improved Genetic Algorithm

Cited by 1 publication

References 11 publications

Multiobjective Optimization in Distributed Industry and Environmental Sustainability: a Systematic Literature Review

Multiobjective Optimization in Distributed Industry and Environmental Sustainability: a Systematic Literature Review

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