Logistics optimization based on biomechanical principles and bionic algorithms and its innovative approach to intelligent supply chain management Article Swipe
With the rapid development of the logistics industry, traditional supply chain management faces challenges such as inefficiency and resource wastage. Research on logistics optimization based on bionic algorithms, which is inspired by behavioral patterns and biomechanical principles, enabling these algorithms to effectively address complex issues like logistics path optimization, resource scheduling, and inventory management. In intelligent supply chain management, the application of bionic algorithms not only enhances the intelligence level of decision-making but also improves the adaptability and flexibility of the system. By integrating Internet of Things (IoT) technology, real-time monitoring of logistics resources is achieved, allowing bionic algorithms to comprehensively optimize the logistics process. A cloud computing-based platform architecture enables efficient information sharing among different participants, thereby improving the overall efficiency of the supply chain. This study explores practical applications of bionic algorithms in logistics optimization, demonstrating their effectiveness in enhancing logistics management accuracy, reducing costs, and improving customer satisfaction.
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Concepts
Metadata
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- article
- Language
- en
- Landing Page
- https://doi.org/10.62617/mcb885
- OA Status
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- Related Works
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All OpenAlex metadata
Raw OpenAlex JSON
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- DOI
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https://doi.org/10.62617/mcb885Digital Object Identifier
- Title
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Logistics optimization based on biomechanical principles and bionic algorithms and its innovative approach to intelligent supply chain managementWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-02-20Full publication date if available
- Authors
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Lixing Bo, Xu JieList of authors in order
- Landing page
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https://doi.org/10.62617/mcb885Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.62617/mcb885Direct OA link when available
- Concepts
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Supply chain, Supply chain management, Computer science, Algorithm, Engineering, Business, MarketingTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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