A shared value network model based on synergy theory in intelligent manufacturing Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1016/j.heliyon.2025.e41711
With the in-depth development and integration of science and technology, intelligent manufacturing has gradually become a trend in the manufacturing industry. However, it is difficult for the traditional business model to maximize the use of resources. To address these problems, a shared value network model based on synergy theory is first proposed, which consists of three layers: resource network layer, value connection layer and resource coordination layer. Then, to meet the market demand and maximize the value gain, the optimization scheme is given according to the coordination theory and priority strategy in the design of the operation mechanism of the shared value network model. Finally, the effectiveness of the proposed model is verified by analyzing an example in the actual industry.
Related Topics
- Type
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- Language
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- Title
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A shared value network model based on synergy theory in intelligent manufacturingWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-01-01Full publication date if available
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Pingping Gu, Jiahui Yu, Xianzhong Zhou, Haixing JuList of authors in order
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https://doi.org/10.1016/j.heliyon.2025.e41711Publisher landing page
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.heliyon.2025.e41711Direct OA link when available
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Value (mathematics), Computer science, Engineering, Knowledge management, Management science, Machine learningTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.model. | 103 |
| abstract_inverted_index.scheme | 80 |
| abstract_inverted_index.shared | 41, 100 |
| abstract_inverted_index.theory | 48, 87 |
| abstract_inverted_index.address | 37 |
| abstract_inverted_index.example | 116 |
| abstract_inverted_index.layers: | 56 |
| abstract_inverted_index.network | 43, 58, 102 |
| abstract_inverted_index.science | 7 |
| abstract_inverted_index.synergy | 47 |
| abstract_inverted_index.Finally, | 104 |
| abstract_inverted_index.However, | 21 |
| abstract_inverted_index.business | 28 |
| abstract_inverted_index.consists | 53 |
| abstract_inverted_index.in-depth | 2 |
| abstract_inverted_index.maximize | 31, 74 |
| abstract_inverted_index.priority | 89 |
| abstract_inverted_index.proposed | 109 |
| abstract_inverted_index.resource | 57, 64 |
| abstract_inverted_index.strategy | 90 |
| abstract_inverted_index.verified | 112 |
| abstract_inverted_index.according | 83 |
| abstract_inverted_index.analyzing | 114 |
| abstract_inverted_index.difficult | 24 |
| abstract_inverted_index.gradually | 13 |
| abstract_inverted_index.industry. | 20, 120 |
| abstract_inverted_index.mechanism | 97 |
| abstract_inverted_index.operation | 96 |
| abstract_inverted_index.problems, | 39 |
| abstract_inverted_index.proposed, | 51 |
| abstract_inverted_index.connection | 61 |
| abstract_inverted_index.resources. | 35 |
| abstract_inverted_index.development | 3 |
| abstract_inverted_index.integration | 5 |
| abstract_inverted_index.intelligent | 10 |
| abstract_inverted_index.technology, | 9 |
| abstract_inverted_index.traditional | 27 |
| abstract_inverted_index.coordination | 65, 86 |
| abstract_inverted_index.optimization | 79 |
| abstract_inverted_index.effectiveness | 106 |
| abstract_inverted_index.manufacturing | 11, 19 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.4300000071525574 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.01172803 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |