Assessment of Fog Enabled Sensor Cloud Platform for Smart Logistics Park

Wei, Xuejiang; Wu, Libing

doi:10.1155/2022/7875137

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…With the gradual advancement of automation, digitalization, and intelligent upgrading, intelligent logistics has become one of the mainstream trends in the development of the logistics industry [1][2][3][4][5][6]. Through intelligent technical means such as intelligent software and hardware, Internet of Things, and big data, intelligent logistics can achieve refined, dynamic, and visualized management on each link of logistics and effectively improve the intelligent analysis and decisionmaking and automatic operation execution capabilities of the logistics system [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

On the Thermal Field Characteristics and Evaluation Method of Intelligent Logistics Storage Space

Wang¹,

He²,

Zhang³

et al. 2022

IJHT

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Intelligent logistics can effectively improve the intelligent analysis and decision-making and automatic operation execution capabilities of the logistics system. In order to optimize the design of the thermal environment of the intelligent logistics storage space and ensure the quality of stored goods and the physical and mental health of logistics and warehousing workers, it is especially important to analyze the thermal field characteristics of the intelligent logistics storage space and work out a reasonable and scientific evaluation method. This paper studies the thermal field characteristics and evaluation method of intelligent logistics storage space. First, based on the five characteristic factors of the thermal environment, a derivation process of the principle of heat transfer in the thermal field of the intelligent logistics storage space was demonstrated. Then, a specific research framework was given for evaluating the thermal environment of storage space, the average number of votes predicted was selected as the main evaluation indicator, and an adaptive model considering factors such as psychology, behavior, and physiology of the workers in the storage space was constructed. Finally, the corresponding analysis and evaluation results were provided.

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Section: Introductionmentioning

confidence: 99%

On the Thermal Field Characteristics and Evaluation Method of Intelligent Logistics Storage Space

Wang¹,

He²,

Zhang³

et al. 2022

IJHT

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show abstract

Analysis of the influence of IoT implementation on the success of smart logistics in industrial era 4.0

Wongso,

Madyatmadja,

Sriwardiningsih

2024

AIP Conference Proceedings

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Research on User Stickiness of Logistics Platform and its Influencing factors

Kang¹

2023

IJEH

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Nowadays, our society has undergone a change in the viewpoint of production and manufacturing, and will pay more attention to the needs of the majority of users, and gradually began to make demand-oriented research topics for the development of the times. Logistics platform is also under such a trend, pay more attention to user needs and experience. As the business focus of logistics platforms, how to cultivate user stickiness and continuously cultivate new users and retain old users under the competitive market situation has become a major problem for enterprises. Around these issues, this paper conducts a systematic and in-depth study. Based on the S-O-R theory, this paper uses the stimulus-organism-response model to answer the question of how to continuously improve the participation and willingness of platform users by finding factors that affect the stickiness of logistics platform users. Systematic analysis and process research of logistics platform-related literature guided by the research question identifies four factors that influence logistics platform user stickiness, namely platform gu-enterprise interaction, platform atmosphere cues, user fit and consumer trust, and includes platform network effect as a moderating variable in the research framework. Through the empirical study, the following conclusions were drawn: platform gu-enterprise interaction has a significant effect on user fit, platform atmosphere cues have a significant effect on consumer trust, and user fit and consumer trust have a significant effect on user stickiness. User fit mediates the influence of information request, switching cost, and personnel communication on platform user stickiness, and consumer trust mediates the influence of platform reputation, personalized recommendation, and service remediation on platform user stickiness. Finally, certain management suggestions and research limitation outlooks are given to managers of logistics platforms.

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Assessment of Fog Enabled Sensor Cloud Platform for Smart Logistics Park

Cited by 3 publications

References 21 publications

On the Thermal Field Characteristics and Evaluation Method of Intelligent Logistics Storage Space

On the Thermal Field Characteristics and Evaluation Method of Intelligent Logistics Storage Space

Analysis of the influence of IoT implementation on the success of smart logistics in industrial era 4.0

Research on User Stickiness of Logistics Platform and its Influencing factors

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