Diffusion of the Internet-of-Things (IoT): A framework based on smart retail technology

Jamme, Huê-Tâm; Connor, Dylan S.

doi:10.1016/j.apgeog.2023.103122

Cited by 4 publications

(1 citation statement)

References 57 publications

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“…Furthermore, during waits for unloading or when switching between different means of transport (e.g., from a truck to an airplane), products can experience significant temperature fluctuations. Independent studies by transportation companies have shown temperature differences of up to 25 • C during such situations [17].…”

Section: State Of the Artmentioning

confidence: 99%

How to Find Disruptions in Logistics Processes in the Cold Chain and Avoid Waste of Products?

Lorenc

2023

Applied Sciences

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This article presents a review of the literature related to the topic discussed and then discusses the system enabling the collection of data for analysis, the components of which are described in the paper. Next, a case study containing analyses of the circulation of logistic containers and the quality of deliveries is presented. Finally, a discussion of the results is presented. Background: This research is instrumental in navigating the intricacies of using these insulated containers of disturbances in the cold supply chain is imperative for ensuring the safety of perishable items, pharmaceuticals, and medical provisions, all of which necessitate precise temperature storage. Moreover, it holds significant sway over the efficacy of logistics, curtails losses, and guarantees adherence to regulatory stipulations and quality benchmarks. Research target: The research aimed to analyze the circulation of isothermal containers and indirectly assess the transportation quality for food products using the example of a 3PL company. Method: The article addresses issues encountered in the transportation of products within the cold supply chain. Using a company as an example, the temperature of coolboxes at the beginning of the logistics cycle, temperature distribution during transportation, and the temperature at the end of delivery were analyzed. The circulation of containers, their utilization over time, cycle durations, and the entire container circulation process were also examined. Results: Based on the collected data, recommendations were formulated to enhance product quality and increase container utilization. This research offers valuable insights into improving the efficiency and quality of logistics processes, specifically within the cold chain transportation industry, and provides recommendations for better managing temperature-sensitive product transportation.

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Section: State Of the Artmentioning

confidence: 99%

How to Find Disruptions in Logistics Processes in the Cold Chain and Avoid Waste of Products?

Lorenc

2023

Applied Sciences

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Enabling Sustainable Urban Transportation with Predictive Analytics and IoT

Igorevich Rozhdestvenskiy,

Poornima

2024

MATEC Web Conf.

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This research explores the integration of predictive analytics and the Internet of Things (IoT) to transform sustainable urban transportation systems. This project intends to examine the transformational effect of predictive analytics and integration of Internet of Things (IoT) on urban mobility, using empirical data gathered from IoT devices. The data includes information on vehicle speed, traffic density, air quality index (AQI), and meteorological conditions. The study use predictive modeling to estimate traffic congestion, air quality index (AQI), and traffic volume. This allows for the evaluation of prediction accuracy and its correspondence with actual data. The data reveals a direct relationship between increased traffic density and decreased vehicle speed, while unfavorable weather conditions correspond with increased congestion. Predictive models demonstrate significant accuracy in forecasting congestion and air quality, while the accurate prediction of traffic volume poses inherent complications. The comparison between the expected and real results demonstrates the dependability of the models in forecasting congestion and AQI, thereby confirming their effectiveness. The use of predictive analytics and interventions led by the Internet of Things (IoT) results in a significant 25% decrease in congestion levels, as well as a notable 12.7% enhancement in air quality, despite a little 1.4% rise in traffic volume. The impact study highlights the efficacy of these solutions, showcasing favorable results in mitigating congestion and promoting environmental sustainability. Ultimately, this study emphasizes the significant impact that predictive analytics and IoT may have on improving urban transportation, enabling more intelligent decision-making, and creating sustainable urban environments driven by data-driven insights and proactive actions.

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A System Dynamics Modeling Framework for Forecasting the Diffusion of IoT-Enabling Technologies

Kanellos,

Katsianis,

Varoutas

2024

IEEE Commun. Mag.

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Diffusion of the Internet-of-Things (IoT): A framework based on smart retail technology

Cited by 4 publications

References 57 publications

How to Find Disruptions in Logistics Processes in the Cold Chain and Avoid Waste of Products?

How to Find Disruptions in Logistics Processes in the Cold Chain and Avoid Waste of Products?

Enabling Sustainable Urban Transportation with Predictive Analytics and IoT

A System Dynamics Modeling Framework for Forecasting the Diffusion of IoT-Enabling Technologies

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