A Multi-Objective Task Scheduling Strategy for Intelligent Production Line Based on Cloud-Fog Computing Article Swipe
Zhenyu Yin
,
Fulong Xu
,
Yue Li
,
Chao Fan
,
Feiqing Zhang
,
Guangjie Han
,
Yuanguo Bi
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/s22041555
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/s22041555
With the widespread use of industrial Internet technology in intelligent production lines, the number of task requests generated by smart terminals is growing exponentially. Achieving rapid response to these massive tasks becomes crucial. In this paper we focus on the multi-objective task scheduling problem of intelligent production lines and propose a task scheduling strategy based on task priority. First, we set up a cloud-fog computing architecture for intelligent production lines and built the multi-objective function for task scheduling, which minimizes the service delay and energy consumption of the tasks. In addition, the improved hybrid monarch butterfly optimization and improved ant colony optimization algorithm (HMA) are used to search for the optimal task scheduling scheme. Finally, HMA is evaluated by rigorous simulation experiments, showing that HMA outperformed other algorithms in terms of task completion rate. When the number of nodes exceeds 10, the completion rate of all tasks is greater than 90%, which well meets the real-time requirements of the corresponding tasks in the intelligent production lines. In addition, the algorithm outperforms other algorithms in terms of maximum completion rate and power consumption.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s22041555
- https://www.mdpi.com/1424-8220/22/4/1555/pdf?version=1645417755
- OA Status
- gold
- Cited By
- 44
- References
- 52
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4213092631
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4213092631Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s22041555Digital Object Identifier
- Title
-
A Multi-Objective Task Scheduling Strategy for Intelligent Production Line Based on Cloud-Fog ComputingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-02-17Full publication date if available
- Authors
-
Zhenyu Yin, Fulong Xu, Yue Li, Chao Fan, Feiqing Zhang, Guangjie Han, Yuanguo BiList of authors in order
- Landing page
-
https://doi.org/10.3390/s22041555Publisher landing page
- PDF URL
-
https://www.mdpi.com/1424-8220/22/4/1555/pdf?version=1645417755Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/22/4/1555/pdf?version=1645417755Direct OA link when available
- Concepts
-
Cloud computing, Computer science, Scheduling (production processes), Distributed computing, Real-time computing, Energy consumption, Job shop scheduling, Production line, Mathematical optimization, Engineering, Operating system, Schedule, Mechanical engineering, Electrical engineering, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
44Total citation count in OpenAlex
- Citations by year (recent)
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2025: 12, 2024: 16, 2023: 11, 2022: 5Per-year citation counts (last 5 years)
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52Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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