Integrating Internet of Things and multi-temperature delivery planning for perishable food E-commerce logistics: a model and application

Tsang, Yung Po; Wu, Chun-Ho; Lam, H. Y.; Choy, King Lun Tommy; Ho, G.T.S.

doi:10.1080/00207543.2020.1841315

Cited by 86 publications

(55 citation statements)

References 47 publications

(48 reference statements)

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“…Hesse et al analysed the influencing factors of different geographical locations on logistics distribution path optimization system and proposed a multi-channel intelligent logistics distribution path optimization model through intelligent analysis and diversified extreme value verification of logistics distribution path [19]. Tsang et al relied on the Internet of things system and cloud computing technology to deal with the extreme value of different types of e-commerce logistics distribution path and obtain the optimal distribution path strategy formulation rules under different influencing factors [20].…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Logistics Distribution Route Optimization Model Based on Recursive Fuzzy Neural Network Algorithm

Liu

2021

Computational Intelligence and Neuroscience

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In recent years, more and more attention has been paid to the utilization of data and information in the logistics distribution path optimization system of e-commerce, but it is difficult to have scientific guarantee in the process of determining the optimal distribution path scheme of e-commerce. How to realize the optimization and adaptive setting of distribution path by using intelligent algorithm has become a hot spot. To battle these issues, this paper studies the logistics distribution path optimization model based on recursive fuzzy neural network algorithm. This paper analyses the research status of logistics distribution path determination scheme and applies the recursive fuzzy neural network algorithm in the selection of e-commerce logistics distribution path scheme. The experimental results show that the recursive fuzzy neural network algorithm can realize the optimization of e-commerce logistics distribution path, and the best distribution route can be made according to the characteristic difference of logistics distribution route, and its distribution accuracy can reach more than 97%.

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Section: Related Workmentioning

confidence: 99%

[Retracted] Logistics Distribution Route Optimization Model Based on Recursive Fuzzy Neural Network Algorithm

Liu

2021

Computational Intelligence and Neuroscience

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“…Further, it proposes a framework to explore resilient supply chain strategies that include evaluation of the impact that COVID-19 has caused on the global supply chains. Researchers are working on enhanced IoT adoption in cold chain logistics [ 168 , 169 , 170 ]. Smart fleet management solutions are also gaining more attention.…”

Section: Impact Of Covid-19 On Iot and New Initiativesmentioning

confidence: 99%

Impact of COVID-19 on IoT Adoption in Healthcare, Smart Homes, Smart Buildings, Smart Cities, Transportation and Industrial IoT

Umair

Cheema

Cheema³

et al. 2021

Sensors

156

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COVID-19 has disrupted normal life and has enforced a substantial change in the policies, priorities and activities of individuals, organisations and governments. These changes are proving to be a catalyst for technology and innovation. In this paper, we discuss the pandemic’s potential impact on the adoption of the Internet of Things (IoT) in various broad sectors, namely healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT. Our perspective and forecast of this impact on IoT adoption is based on a thorough research literature review, a careful examination of reports from leading consulting firms and interactions with several industry experts. For each of these sectors, we also provide the details of notable IoT initiatives taken in the wake of COVID-19. We also highlight the challenges that need to be addressed and important research directions that will facilitate accelerated IoT adoption.

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“…On the basis of the work by Tang et al 13 and Tsang et al, 23 a structured IoHT framework can be formulated in the context of elderly care with five essential layers, namely, (i) perception layer, (ii) mist layer, (iii) fog layer, (iv) cloud layer and (v) application layer. Under such a structured framework, a large number of IoT devices can be effectively managed, in which voluminous and heterogeneous data are securely and efficiently transmitted to a centralised cloud platform.…”

Section: Design Of An Ioht-based Care Link Systemmentioning

confidence: 99%

Exploring internet of healthcare things for establishing an integrated care link system in the healthcare industry

WAN

Chin

2021

International Journal of Engineering Business Management

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With the ageing population all over the world, long-term care services, such as nursing care, are essential to provide care and treatments to elderly patients in the community. During the nursing care services, elderly patients who live in the nursing homes require to be treated and consulted in a number of healthcare organisations, for example hospitals, mental health centres and rehabilitation centres. Currently, the data management for the elderly is relatively centralised to establish their own electronic medical records and protected health information without decision support functionalities. The community and healthcare industry are eager to develop a safe and comprehensive system to provide adequate healthcare services and monitoring to the elderly. In this study, an internet of healthcare things (IoHT)-based care link system (IoHT-CLS) is proposed, which provides a structured framework on integrating IoHT and artificial intelligence (AI) to generate a one-stop solution for managing elderly’s healthcare facilities. The elderly can be effectively linked into the integrated IoHT system by using various sensing and data collection technologies. The collected data are further processed by means of the adaptive neuro-fuzzy inference system and case-based reasoning to provide the functionalities of risk management and customised elderly service programmes for the elderly care institutions. Consequently, this study contributes to the healthcare management through the enhancement of service quality in the community.

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Integrating Internet of Things and multi-temperature delivery planning for perishable food E-commerce logistics: a model and application

Cited by 86 publications

References 47 publications

[Retracted] Logistics Distribution Route Optimization Model Based on Recursive Fuzzy Neural Network Algorithm

[Retracted] Logistics Distribution Route Optimization Model Based on Recursive Fuzzy Neural Network Algorithm

Impact of COVID-19 on IoT Adoption in Healthcare, Smart Homes, Smart Buildings, Smart Cities, Transportation and Industrial IoT

Exploring internet of healthcare things for establishing an integrated care link system in the healthcare industry

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