Research on Port Supply Chain Logistics Integration Based on the Internet of Things

2013 ◽  
Vol 12 (14) ◽  
pp. 2845-2850 ◽  
Author(s):  
Wang Jiu-He ◽  
Su Li-Huan
Author(s):  
Raja Jayaraman ◽  
Khaled Salah ◽  
Nelson King

Despite key advances in healthcare informatics and management, little progress to address supply chain process-related problems has been made to date. Specifically, key healthcare supply chain processes include product recalls, monitoring of product supply shortages, expiration, and counterfeits. Implementing and executing these processes in a trusted, secure, efficient, globally accessible and traceable manner is challenging due to the fragmented nature of the healthcare supply chain, which is prone to systemic errors and redundant efforts that may compromise patient safety and impact health outcomes adversely. Blockchain, combined with the Internet of things (IoT), is an emerging technology that can offer a practical solution to these challenges. Accordingly, IoT blockchain offers a superior way to track and trace products via a peer-to-peer distributed, secure, and shared ledger of the blockchain network. This article highlights key challenges related to healthcare supply chains, and illustrates how IoT blockchain technologies can play a role in overcoming these challenges now and in the near future.


2019 ◽  
Vol 15 (9) ◽  
pp. 155014771987400 ◽  
Author(s):  
Waseem Ahmed Abbasi ◽  
Zongrun Wang ◽  
Yanju Zhou ◽  
Shahzad Hassan

This article first expounds the concept of supply chain finance and its credit risk, describes the hierarchical structure of the Internet of Things and its key technologies, and combines the unique functions of the Internet of Things technology and the business process of the inventory pledge financing model to design the supply chain financial model based on the Internet of Things. Then it studies the credit risk assessment under the supply chain financial model based on the Internet of Things, and uses the support vector machine algorithm and Logistic regression method to establish a credit risk measurement model considering the subject rating and debt rating. Finally, an example analysis shows that the credit risk measurement model has a high accuracy rate for determining whether small and medium-sized enterprises in the supply chain financial model based on the Internet of Things are trustworthy. This will facilitate the revision and improvement of the existing credit evaluation system and improve the accuracy of measuring the current financial risk of supply chain. This research adopts the Internet of Things to measure financial credit risk in supply chain and provides a reference for the following researches.


Subject IoT ecosystem. Significance The market for the Internet of Things (IoT) or connected devices is expanding rapidly, with no manufacturer currently forecast to dominate the supply chain. This has fragmented the emerging IoT ecosystem, triggering questions about interoperability and cybersecurity of IoT devices. Impacts Firms in manufacturing, transportation and logistics and utilities are expected to see the highest IoT spending in coming years. The pace of IoT adoption is inextricably linked to that of related technologies such as 5G, artificial intelligence and cloud computing. Data privacy and security will be the greatest constraint to IoT adoption.


2017 ◽  
Vol 117 (9) ◽  
pp. 1842-1865 ◽  
Author(s):  
Bo Yan ◽  
Xiao-hua Wu ◽  
Bing Ye ◽  
Yong-wang Zhang

Purpose The Internet of Things (IoT) is used in the fresh agricultural product (FAP) supply chain, which can be coordinated through a revenue-sharing contract. The purpose of this paper is to make the three-level supply chain coordinate in IoT by considering the influence of FAP on market demand and costs of controlling freshness on the road. Design/methodology/approach A three-level FAP supply chain that comprises a manufacturer, distributor, and retailer in IoT is regarded as the research object. This study improves the revenue-sharing contract, determines the optimal solution when the supply chain achieves maximum profit in three types of decision-making situations, and develops the profit distribution model based on the improved revenue-sharing contract to coordinate the supply chain. Findings The improved revenue-sharing contract can coordinate the FAP supply chain that comprises a manufacturer, distributor, and retailer in IoT, as well as benefit all enterprises in the supply chain. Practical implications Resource utilization rate can be improved after coordinating the entire supply chain. Moreover, loss in the circulation process is reduced, and the circulation efficiency of FAPs is improved because of the application of IoT. The validity of the model is verified through a case analysis. Originality/value This study is different from other research in terms of the combination of supply chain coordination, FAPs, and radio frequency identification application in IoT.


2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Shuaiqi Wang

With the continuous development of artificial intelligence technology, the supply chain logistics industry has shown new changes. The products of the intelligent era such as smart devices, big data computing, and Internet of Things technology have gradually become the transformation and innovation of logistics and supply chain enterprises. The important driving force of the logistics and supply chain industry will greatly improve the operational efficiency of the logistics and supply chain industry. Methods. This article studies the technical framework of artificial intelligence and explores the upgrading and transformation of supply chain logistics enterprises in logistics infrastructure, production tools, and logistics operation processes under the promotion of artificial intelligence technology, from warehouse location, inventory management, warehousing operations, transportation, and distribution. The data analysis and prediction analyze the impact of artificial intelligence on the supply chain logistics field and finally point out the problems in the intelligent development of the supply chain logistics field and put forward targeted suggestions to promote the modern supply chain logistics to become more intelligent. developThe new development trend of smart logistics is towards sharing economy, automation, service efficiency, and cost reduction. Results. In this context, if logistics companies want to achieve higher-quality development, they cannot do without business model innovation and larger-scale collaboration, transparency of logistics information, and more comprehensive information sharing. The new trend of the development of smart logistics is to develop in the direction of sharing economy, automation, service efficiency, and cost reduction. Conclusion. Intelligence and the Internet of Things are the inevitable trend of the development of smart logistics, which is mainly realized through the Internet of Things path in terms of visual information technology, intelligent robot operation, vehicle scheduling, and cargo traceability.


2020 ◽  
Vol 16 (3) ◽  
pp. 19-51
Author(s):  
Samir Yerpude ◽  
Tarun Kumar Singhal

Currently, industry is going through the fourth Industrial Revolution, also termed Industry 4.0. It is characterized mainly by the cyber-physical systems dominated by digital technologies such as the Internet of Things (IoT). Organizations are making significant effort to understand customer needs and subsequently align them to the business goals for achieving market leadership. It is imperative for the longevity of the organization that goods and services be made available to the customer at the most appropriate place, time, and price. Supply chains are contributing to achieving this organizational goal. A paradigm shift was observed in the past few decades when organizations competed as supply chains in the market more than an individual brand. This shift brought forward the importance of collaborative supply chains. Researchers in this study have presented the impact of IoT origins on real-time data on a collaborative supply chain model, including internally and externally aligned parameters. The study recommends the best model basis for the goodness of fit from the customer and vendor perspective for the automotive industry in India.


Author(s):  
In Lee

As the Internet of Things (IoT) opens up new business opportunities, firms are trying to understand the impacts of the IoT revolution on their supply chain. Despite the tremendous interest by supply chain managers to leverage the IoT, there are still a paucity of studies that integrate the management side of supply chain with the technical side of the IoT. This chapter attempts to fill the current gap in research. This chapter discusses capabilities of the IoT-based supply chain applications. Then, it presents a conceptual framework of the IoT applications essential for smart supply chain. Finally, this chapter discusses technical and managerial challenges faced by supply chain managers in implementing the IoT.


2020 ◽  
pp. 1557-1574
Author(s):  
In Lee

As the Internet of Things (IoT) opens up new business opportunities, firms are trying to understand the impacts of the IoT revolution on their supply chain. Despite the tremendous interest by supply chain managers to leverage the IoT, there are still a paucity of studies that integrate the management side of supply chain with the technical side of the IoT. This chapter attempts to fill the current gap in research. This chapter discusses capabilities of the IoT-based supply chain applications. Then, it presents a conceptual framework of the IoT applications essential for smart supply chain. Finally, this chapter discusses technical and managerial challenges faced by supply chain managers in implementing the IoT.


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