An intelligent logistics service system for enhancing dispatching operations in an IoT environment

Wang, Jianxin; Lim, Ming K.; Zhan, Yuanzhu; Wang, Xiaofeng

doi:10.1016/j.tre.2020.101886

Cited by 89 publications

(48 citation statements)

References 58 publications

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“…Intelligent logistics functions provide comprehensive real-time data support, which make traditional optimal models mismatched and less effective. Therefore, scholars have shown solicitude for routing, scheduling, planning, and network optimization problems in the new data environment (Li et al, 2019b;Wang et al, 2020).…”

Section: Research Streams Of Smart Logisticsmentioning

confidence: 99%

Operations management of smart logistics: A literature review and future research

Feng

2021

Front. Eng. Manag.

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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.

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Section: Research Streams Of Smart Logisticsmentioning

confidence: 99%

Operations management of smart logistics: A literature review and future research

Feng

2021

Front. Eng. Manag.

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“…It is widely accepted that "demand-enhancing services" play an important role in the operational decisions of e-commerce platforms. Obviously, logistics service is one of demand-enhancing services because consumers prefer to products with lower delivery time and commodity wastage [48][49][50][51][52][53][54][55][56]. A massive amount of literature examine how logistics services can affect the operational decisions of e-commerce platforms.…”

Section: The Effects Of Logistics Service On the Operational Decisions Of E-commerce Platformsmentioning

confidence: 99%

How Should E-Commerce Platforms Subsidize Retailers with Logistics Constraints during an Epidemic Scenario? Considering Power Structure and Altruistic Preference

Zhang

2021

JTAER

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To maintain the sustainable development of a platform’s economy, e-commerce platforms put forward various subsidy programs to retailers selling on them during COVID-19. This paper investigates an e-commerce platform’s decision on subsidizing a retailer selling on it with logistics constraints during an epidemic scenario, with a focus on the role of power structure and altruistic preference. By constructing two Stackelberg game models, the research obtains the optimal subsidy under two power structures (i.e., the dominant platform and the weaker platform), respectively. The comparison between them shows that the conditions of the dominant platform giving subsidies (both altruistic preference and logistics constraints should be higher enough) are stricter than the weaker platform. Considering the same altruistic preference and logistics constraints, the optimal subsidy provided by the weaker platform should always be not less than the dominant platform. However, the weaker platform, surprisingly, can get more utility by lowering its altruistic preference voluntarily when the commission fee is low. No matter what the power structure is, the optimal subsidy increases with the logistics service coefficient and altruistic preference, and the dominant member’s profit/utility is not less than the weaker one, which confirms “the first mover advantage”. Finally, more managerial implications to the platform-retailer systems are discussed.

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“…Nižetić et al [21] indicated that IoT is reforming logistics, and logistics can profit from IoT in areas such as inventory management, warehousing, routing, product quality management, vehicle tracking, communication between vehicles and supply chain members, and certification. Delivery in e-commerce mostly depends on logistics; however, logistics consumes a lot of resources [30]. Improving logistics performance is essential to e-commerce companies and logistics service providers; therefore, Wang et al [30] developed an IoT-based intelligent system to improve the dispatching activities of logistics service.…”

Section: Introductionmentioning

confidence: 99%

“…Delivery in e-commerce mostly depends on logistics; however, logistics consumes a lot of resources [30]. Improving logistics performance is essential to e-commerce companies and logistics service providers; therefore, Wang et al [30] developed an IoT-based intelligent system to improve the dispatching activities of logistics service. IoT can enable the connectedness of objects as well as data collection and information sharing; therefore, the integration of IoT with big data technologies can support data-driven management.…”

Section: Introductionmentioning

confidence: 99%

Exploring technology opportunities and evolution of IoT-related logistics services with text mining

Chen

2021

Complex Intell. Syst.

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Many IoT technologies have been applied in the logistics industry in recent years, and they have had a substantial impact on many sectors such as shipping, air freight, warehousing, inventory, etc. Exploring technology opportunities and carrying out technological trend analysis are essential for IoT’s evolution, and there are many techniques or methods for doing so. In this paper, data analysis and text mining techniques, technology opportunity analysis (TOA) and technology-service evolution analysis (TSEA) have been applied to analyze and observe IoT technologies’ and services’ evolution. Academic journals, market reports, and patents have been collected and reviewed on the topic of IoT in the logistics field in this paper. Moreover, by using TOA, technology opportunities have been analyzed to explore IoT-related logistics services. The results of TOA, for example, show that cloud technology is essential to develop smart logistics services, and communication RFID technologies are key to developing information logistics services. Finally, TSEA enables the observation of IoT technology and logistics service evolution by combining unstructured and semi-structured data from text documents. Observing the results of TSEA, the evolution of IoT in logistics is identified, and the results of TSEA also confirm those of TOA using unstructured or semi-structured text data from documents only. The results of this paper are discussed and compared with those of some previous review studies. In summary, the results of this paper provide methodological guidelines on this topic for a comprehensive understanding of IoT-related logistics services.

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An intelligent logistics service system for enhancing dispatching operations in an IoT environment

Cited by 89 publications

References 58 publications

Operations management of smart logistics: A literature review and future research

Operations management of smart logistics: A literature review and future research

How Should E-Commerce Platforms Subsidize Retailers with Logistics Constraints during an Epidemic Scenario? Considering Power Structure and Altruistic Preference

Exploring technology opportunities and evolution of IoT-related logistics services with text mining

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