As Internet of Things(IoT)technology rapidly advances,its application within smart logistics systems has become increasingly widespread,significantly enhancing the efficiency and precision of logistics management.This...As Internet of Things(IoT)technology rapidly advances,its application within smart logistics systems has become increasingly widespread,significantly enhancing the efficiency and precision of logistics management.This paper comprehensively discusses the core components of IoT,its specific applications,the improvements and outcomes it brings,as well as the challenges faced and solutions proposed.Through real-time data collection,efficient information processing,and automation,IoT technology not only optimizes supply chain management but also enhances customer service levels while reducing operational costs.Studies indicate that IoT technology effectively meets modern logistics demands and drives the logistics industry towards smarter,more efficient operations.展开更多
Blockchain technology has been incorporated into the field of next-generation information infrastructure in China and is experiencing rapid development.Utilizing blockchain and other emerging technologies to develop i...Blockchain technology has been incorporated into the field of next-generation information infrastructure in China and is experiencing rapid development.Utilizing blockchain and other emerging technologies to develop intelligent logistics is essential for logistics enterprises to reduce costs,enhance efficiency,and improve quality.By analyzing and summarizing the issues within the development of China’s logistics industry,this paper discusses its growth from three perspectives:policy,technology,and industry.展开更多
Effectively managing complex logistics data is essential for development sustainability and growth,especially in optimizing distribution routes.This article addresses the limitations of current logistics path optimiza...Effectively managing complex logistics data is essential for development sustainability and growth,especially in optimizing distribution routes.This article addresses the limitations of current logistics path optimization methods,such as inefficiencies and high operational costs.To overcome these drawbacks,we introduce the Hybrid Firefly-Spotted Hyena Optimization(HFSHO)algorithm,a novel approach that combines the rapid exploration and global search abilities of the Firefly Algorithm(FO)with the localized search and region-exploitation skills of the Spotted Hyena Optimization Algorithm(SHO).HFSHO aims to improve logistics path optimization and reduce operational costs.The algorithm’s effectiveness is systematically assessed through rigorous comparative analyses with established algorithms like the Ant Colony Algorithm(ACO),Cuckoo Search Algorithm(CSA)and Jaya Algo-rithm(JA).The evaluation also employs benchmarking methodologies using standardized function sets covering diverse objective functions,including Schwefel’s,Rastrigin,Ackley,Sphere and the ZDT and DTLZ Function suite.HFSHO outperforms these algorithms,achieving a minimum path distance of 546 units,highlighting its prowess in logistics path optimization.This comprehensive evaluation authenticates HFSHO’s exceptional performance across various logistic optimization scenarios.These findings emphasize the critical significance of selecting an appropriate algorithm for logistics path navigation,with HFSHO emerging as an efficient choice.Through the synergistic use of FO and SHO,HFSHO achieves a 15%improvement in convergence,heightened operational efficiency and substantial cost reductions in logistics operations.It presents a promising solution for optimizing logistics paths,offering logistics planners and decision-makers valuable insights and contributing substantively to sustainable sectoral growth.展开更多
Smart logistics is a new direction for the development of the current logistics industry. This paper mainly analyzes and summarizes the main development status of China's smart logistics and related policies. It f...Smart logistics is a new direction for the development of the current logistics industry. This paper mainly analyzes and summarizes the main development status of China's smart logistics and related policies. It finds that China's current investment in innovation and the application of smart systems in the smart logistics industry are gradually increasing, indicating that China's entire logistics system is also in constant transition towards smart direction. However, there is still a certain gap between the related technology application level and the international developed countries, and these problems should be solved in a timely manner. At the same time, this paper also puts forward specific suggestions on relevant issues, hoping to provide certain reference value for the development of China's smart logistics business platform model and innovation mechanism.展开更多
The global collaboration and integration of online and offline channels have brought new challenges to the logistics industry.Thus,smart logistics has become a promising solution for handling the increasing complexity...The global collaboration and integration of online and offline channels have brought new challenges to the logistics industry.Thus,smart logistics has become a promising solution for handling the increasing complexity and volume of logistics operations.Technologies,such as the Internet of Things,information communication technology,and artificial intelligence,enable more efficient functions into logistics operations.However,they also change the narrative of logistics management.Scholars in the areas of engineering,logistics,transportation,and management are attracted by this revolution.Operations management research on smart logistics mainly concerns the application of underlying technologies,business logic,operation framework,related management system,and optimization problems under specific scenarios.To explore these studies,the related literature has been systematically reviewed in this work.On the basis of the research gaps and the needs of industrial practices,future research directions in this field are also proposed.展开更多
Intelligent transformation of manufacturers requires smart logistics transformation collaboration,which improves competitiveness.In this study,we construct a Stackelberg game model based on the mutual influence and re...Intelligent transformation of manufacturers requires smart logistics transformation collaboration,which improves competitiveness.In this study,we construct a Stackelberg game model based on the mutual influence and restriction in the relationship between a manufacturer and a logistics service provider(LSP)undergoing smart logistics transformation.We investigate whether cost-sharing(CS)or revenue-sharing(RS)contracts can coordinate the supply chain and suggest a hybrid CSeRS contract to improve performance.We find that,compared with decentralized options,CS and RS contracts achieve a higher level of smart logistics transformation.While the coordination and effectiveness of CS contracts are superior to those of RS contracts,neither can fully coordinate the supply chain.The proposed hybrid CSeRS contract allows the manufacturer to share the LSP’s costs before the transformation and its partial revenue after transformation,so that the LSP can reduce its service charge,thereby achieving full supply chain coordination.展开更多
The blockchain-enabled smart logistics market is expected to grow worth USD 1620 billion and at a compound annual growth rate of 62.4%.Smart logistics ensures intelligence infrastructure,logistics automation,real-time...The blockchain-enabled smart logistics market is expected to grow worth USD 1620 billion and at a compound annual growth rate of 62.4%.Smart logistics ensures intelligence infrastructure,logistics automation,real-time analysis of supply chain data synchronization of the logistics process,cost transparency,unbroken shipment tracking all the way down to the transportation route,etc.In the smart logistics domain,significant advancement and growth of the Internet of Things(IoT)sensors are evident.However,the connectivity of IoT systems,including Tactile Internet,without proper safeguards creates vulnerabilities that can still be deliberately or inadvertently cause disruption.In view of this,we primarily notice two key issues.Firstly,the logistics domain can be compromised by a variety of natural or man-made activities,which eventually affect the overall network security.Secondly,there are thousands of entities in the supply chain network that use extensive machine-learning algorithms in many scenarios,and they require high-power computational resources.From these two challenges,we note that the first concern can be addressed by adding blockchain to IoT logistic networks.The second issue can be addressed using 6G.This will support 1-μs latency communications,support seamless computing at the edges of networks,and autonomously predict the best optimal location for edge computing.Motivated by this,we have highlighted motivational examples to show the necessity to integrate 6G and blockchain in smart logistic networks.Then,we have proposed a 6G and blockchain-enabled smart logistic high-level framework.We have presented the key intrinsic issues of this framework mainly from the security and resource management context.In this paper,recent state-of-the-art advances in blockchain enabled next-generation smart logistic networks are analyzed.We have also examined why 6G and not 5G would be compatible with the smart network.We have introduced five different use cases of blockchain technology in smart logistics.Later,this paper discusses some important concerns that blockchain in smart logistics might face.We have also provided potential solutions to tackle these concerns.展开更多
The fault diagnosis of cargo UAVs(Unmanned Aerial Vehicles)is crucial to ensure the safety of logistics distribution.In the context of smart logistics,the new trend of utilizing knowledge graph(KG)for fault diagnosis ...The fault diagnosis of cargo UAVs(Unmanned Aerial Vehicles)is crucial to ensure the safety of logistics distribution.In the context of smart logistics,the new trend of utilizing knowledge graph(KG)for fault diagnosis is gradually emerging,bringing new opportunities to improve the efficiency and accuracy of fault diagnosis in the era of Industry 4.0.The operating environment of cargo UAVs is complex,and their faults are typically closely related to it.However,the available data only considers faults and maintenance data,making it difficult to diagnose faults accurately.Moreover,the existing KG suffers from the problem of confusing entity boundaries during the extraction process,which leads to lower extraction efficiency.Therefore,a fault diagnosis knowledge graph(FDKG)for cargo UAVs constructed based on multi-domain fusion and incorporating an attention mechanism is proposed.Firstly,the multi-domain ontology modeling is realized based on the multi-domain fault diagnosis concept analysis expression model and multi-dimensional similarity calculation method for cargo UAVs.Secondly,a multi-head attention mechanism is added to the BERT-BILSTM-CRF network model for entity extraction,relationship extraction is performed through ERNIE,and the extracted triples are stored in the Neo4j graph database.Finally,the DJI cargo UAV failure is taken as an example for validation,and the results show that the new model based on multi-domain fusion data is better than the traditional model,and the precision rate,recall rate,and F1 value can reach 87.52%,90.47%,and 88.97%,respectively.展开更多
文摘As Internet of Things(IoT)technology rapidly advances,its application within smart logistics systems has become increasingly widespread,significantly enhancing the efficiency and precision of logistics management.This paper comprehensively discusses the core components of IoT,its specific applications,the improvements and outcomes it brings,as well as the challenges faced and solutions proposed.Through real-time data collection,efficient information processing,and automation,IoT technology not only optimizes supply chain management but also enhances customer service levels while reducing operational costs.Studies indicate that IoT technology effectively meets modern logistics demands and drives the logistics industry towards smarter,more efficient operations.
文摘Blockchain technology has been incorporated into the field of next-generation information infrastructure in China and is experiencing rapid development.Utilizing blockchain and other emerging technologies to develop intelligent logistics is essential for logistics enterprises to reduce costs,enhance efficiency,and improve quality.By analyzing and summarizing the issues within the development of China’s logistics industry,this paper discusses its growth from three perspectives:policy,technology,and industry.
基金funded by the University of Jeddah,Jeddah,Saudi Arabia,under Grant No.(UJ-22-DR-61).
文摘Effectively managing complex logistics data is essential for development sustainability and growth,especially in optimizing distribution routes.This article addresses the limitations of current logistics path optimization methods,such as inefficiencies and high operational costs.To overcome these drawbacks,we introduce the Hybrid Firefly-Spotted Hyena Optimization(HFSHO)algorithm,a novel approach that combines the rapid exploration and global search abilities of the Firefly Algorithm(FO)with the localized search and region-exploitation skills of the Spotted Hyena Optimization Algorithm(SHO).HFSHO aims to improve logistics path optimization and reduce operational costs.The algorithm’s effectiveness is systematically assessed through rigorous comparative analyses with established algorithms like the Ant Colony Algorithm(ACO),Cuckoo Search Algorithm(CSA)and Jaya Algo-rithm(JA).The evaluation also employs benchmarking methodologies using standardized function sets covering diverse objective functions,including Schwefel’s,Rastrigin,Ackley,Sphere and the ZDT and DTLZ Function suite.HFSHO outperforms these algorithms,achieving a minimum path distance of 546 units,highlighting its prowess in logistics path optimization.This comprehensive evaluation authenticates HFSHO’s exceptional performance across various logistic optimization scenarios.These findings emphasize the critical significance of selecting an appropriate algorithm for logistics path navigation,with HFSHO emerging as an efficient choice.Through the synergistic use of FO and SHO,HFSHO achieves a 15%improvement in convergence,heightened operational efficiency and substantial cost reductions in logistics operations.It presents a promising solution for optimizing logistics paths,offering logistics planners and decision-makers valuable insights and contributing substantively to sustainable sectoral growth.
文摘Smart logistics is a new direction for the development of the current logistics industry. This paper mainly analyzes and summarizes the main development status of China's smart logistics and related policies. It finds that China's current investment in innovation and the application of smart systems in the smart logistics industry are gradually increasing, indicating that China's entire logistics system is also in constant transition towards smart direction. However, there is still a certain gap between the related technology application level and the international developed countries, and these problems should be solved in a timely manner. At the same time, this paper also puts forward specific suggestions on relevant issues, hoping to provide certain reference value for the development of China's smart logistics business platform model and innovation mechanism.
基金This study is supported by the National Social Science Funds for Major Projects(Grant No.18ZDA059)Philosophy and Social Sciences of the Guangdong Province Planning Project(Grant No.GD20YGL03).
文摘The global collaboration and integration of online and offline channels have brought new challenges to the logistics industry.Thus,smart logistics has become a promising solution for handling the increasing complexity and volume of logistics operations.Technologies,such as the Internet of Things,information communication technology,and artificial intelligence,enable more efficient functions into logistics operations.However,they also change the narrative of logistics management.Scholars in the areas of engineering,logistics,transportation,and management are attracted by this revolution.Operations management research on smart logistics mainly concerns the application of underlying technologies,business logic,operation framework,related management system,and optimization problems under specific scenarios.To explore these studies,the related literature has been systematically reviewed in this work.On the basis of the research gaps and the needs of industrial practices,future research directions in this field are also proposed.
基金funded by National Key R&D Program of China(grant number No.2018YFB1601400)funded by Major Program of the National Social Science Foundation of China(Grant No.18ZDA060)
文摘Intelligent transformation of manufacturers requires smart logistics transformation collaboration,which improves competitiveness.In this study,we construct a Stackelberg game model based on the mutual influence and restriction in the relationship between a manufacturer and a logistics service provider(LSP)undergoing smart logistics transformation.We investigate whether cost-sharing(CS)or revenue-sharing(RS)contracts can coordinate the supply chain and suggest a hybrid CSeRS contract to improve performance.We find that,compared with decentralized options,CS and RS contracts achieve a higher level of smart logistics transformation.While the coordination and effectiveness of CS contracts are superior to those of RS contracts,neither can fully coordinate the supply chain.The proposed hybrid CSeRS contract allows the manufacturer to share the LSP’s costs before the transformation and its partial revenue after transformation,so that the LSP can reduce its service charge,thereby achieving full supply chain coordination.
文摘The blockchain-enabled smart logistics market is expected to grow worth USD 1620 billion and at a compound annual growth rate of 62.4%.Smart logistics ensures intelligence infrastructure,logistics automation,real-time analysis of supply chain data synchronization of the logistics process,cost transparency,unbroken shipment tracking all the way down to the transportation route,etc.In the smart logistics domain,significant advancement and growth of the Internet of Things(IoT)sensors are evident.However,the connectivity of IoT systems,including Tactile Internet,without proper safeguards creates vulnerabilities that can still be deliberately or inadvertently cause disruption.In view of this,we primarily notice two key issues.Firstly,the logistics domain can be compromised by a variety of natural or man-made activities,which eventually affect the overall network security.Secondly,there are thousands of entities in the supply chain network that use extensive machine-learning algorithms in many scenarios,and they require high-power computational resources.From these two challenges,we note that the first concern can be addressed by adding blockchain to IoT logistic networks.The second issue can be addressed using 6G.This will support 1-μs latency communications,support seamless computing at the edges of networks,and autonomously predict the best optimal location for edge computing.Motivated by this,we have highlighted motivational examples to show the necessity to integrate 6G and blockchain in smart logistic networks.Then,we have proposed a 6G and blockchain-enabled smart logistic high-level framework.We have presented the key intrinsic issues of this framework mainly from the security and resource management context.In this paper,recent state-of-the-art advances in blockchain enabled next-generation smart logistic networks are analyzed.We have also examined why 6G and not 5G would be compatible with the smart network.We have introduced five different use cases of blockchain technology in smart logistics.Later,this paper discusses some important concerns that blockchain in smart logistics might face.We have also provided potential solutions to tackle these concerns.
基金funded by the National Natural Science Foundation of China under Grant No.52075396,52375508“The 14th Five Year Plan”Hubei Provincial advantaged characteristic disciplines(groups)project of Wuhan University Science and Technology under Grant No.2023B0405the Logistics Education Reform and Research Project under Grant No.JZW2023252.
文摘The fault diagnosis of cargo UAVs(Unmanned Aerial Vehicles)is crucial to ensure the safety of logistics distribution.In the context of smart logistics,the new trend of utilizing knowledge graph(KG)for fault diagnosis is gradually emerging,bringing new opportunities to improve the efficiency and accuracy of fault diagnosis in the era of Industry 4.0.The operating environment of cargo UAVs is complex,and their faults are typically closely related to it.However,the available data only considers faults and maintenance data,making it difficult to diagnose faults accurately.Moreover,the existing KG suffers from the problem of confusing entity boundaries during the extraction process,which leads to lower extraction efficiency.Therefore,a fault diagnosis knowledge graph(FDKG)for cargo UAVs constructed based on multi-domain fusion and incorporating an attention mechanism is proposed.Firstly,the multi-domain ontology modeling is realized based on the multi-domain fault diagnosis concept analysis expression model and multi-dimensional similarity calculation method for cargo UAVs.Secondly,a multi-head attention mechanism is added to the BERT-BILSTM-CRF network model for entity extraction,relationship extraction is performed through ERNIE,and the extracted triples are stored in the Neo4j graph database.Finally,the DJI cargo UAV failure is taken as an example for validation,and the results show that the new model based on multi-domain fusion data is better than the traditional model,and the precision rate,recall rate,and F1 value can reach 87.52%,90.47%,and 88.97%,respectively.
