Shaping the Future of Cold Chain 4.0 Through the Lenses of Digital Transition and Sustainability

Shashi, .; Ertz, Myriam; Centobelli, Piera; Cerchione, Roberto

doi:10.1109/tem.2022.3194208

Cited by 8 publications

(2 citation statements)

References 141 publications

(165 reference statements)

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“…Therefore, in the analysis of different patients' physical conditions, wireless sensors need to obtain accurate parameters of patients and conduct comparative analysis. Through the preliminary processing of the latest data, we can analyze the different requirements of physical training (Ertz et al, 2022). Please refer to Figure 1.…”

Section: Function Construction Of Physical Training Detectionmentioning

confidence: 99%

Modeling of Sports Training Simulation Based on Energy Harvesting in Wireless Sensor Networks

Gong,

2024

International Journal of Distributed Systems and Technologies

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For patients with limb motor dysfunction, the effect of physical exercise is directly related to their future quality of life. This article combines the physical training plan of rehabilitation therapists with the training of rehabilitation robots, which can effectively improve the training performance of existing lower limb rehabilitation robots. Therefore, a teaching and training method and a wireless data acquisition system based on energy acquisition wireless network sensor are proposed. Based on wireless wearable technology, wireless network sensors, PCs and electronic devices are used to monitor the activity information of human walking and standing in real time, and the physical fitness is tested by means of mean, variance, and standard deviation. Through the analysis of rehabilitation health, this article consists of two parts: power module and physical exercise. Finally, experiments show that the accuracy of wireless network sensors based on SVM algorithm is the most accurate under physical training. It provides a good means for wireless body area network technology.

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Section: Function Construction Of Physical Training Detectionmentioning

confidence: 99%

Modeling of Sports Training Simulation Based on Energy Harvesting in Wireless Sensor Networks

Gong,

2024

International Journal of Distributed Systems and Technologies

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“…The current era is the Fourth Industrial Revolution, which focuses on industry digitalization. Industry 4.0 is still seen by many organizations as the “next thing” they should be working on or as the trend to which they are currently modifying their business strategies in response (Shashi et al , 2022). This demonstrates how advances in information technology kicked off the Fourth Industrial Revolution and how those advancements enabled it.…”

Section: Literature Reviewmentioning

confidence: 99%

Industrial revolution and environmental sustainability: an analytical interpretation of research constituents in Industry 4.0

Malik

Sharma²,

Batra

et al. 2023

IJLSS

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Purpose Environmental sustainability is quickly becoming one of the most critical issues in industry development. This study aims to conduct a systematic literature review through which the author can provide various research areas to work on for future researchers and provide insight into Industry 4.0 and environmental sustainability. Design/methodology/approach This study accomplishes this by performing a backward analysis using text mining on the Scopus database. Latent semantic analysis (LSA) was used to analyze the corpus of 4,364 articles published between 2013 and 2023. The authors generated ten clusters using keywords in the industrial revolution and environmental sustainability domain, highlighting ten research avenues for further exploration. Findings In this study, three research questions discuss the role of environmental sustainability with Industry 4.0. The author predicted ten clusters treated as recent trends on which more insight is required from future researchers. The authors provided year-wise analysis, top authors, top countries, top sources and network analysis related to the topic. Finally, the study provided industrialization’s effect on environmental sustainability and the future aspect of automation. Research limitations/implications The reliability of the current study may be compromised, notwithstanding the size of the sample used. Poor retrieval of the literature corpus can be attributed to the limitations imposed by the search words, synonyms, string construction and variety of search engines used, as well as to the accurate exclusion of results for which the search string is insufficient. Originality/value This research is the first-ever study in which a natural language processing technique is implemented to predict future research areas based on the keywords–document relationship.

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Sustainable and resilient cold chains: Enhancing adaptability, consistency, and digital transformation for success in a turbulent market

Vandana,

Sangwa,

Ertz

et al. 2024

Bus Strat Env

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Sustainable and resilient cold chains (CC) are the backbone of several industries, ensuring the seamless transport and storage of temperature‐sensitive products ranging from fresh produce and pharmaceuticals to life‐saving vaccines. Particularly in times of disruptions, such as natural disasters or global health crises, the sustainability and resilience of CCs become even more crucial, highlighting the urgent need for research, innovation, and strategic planning in this domain. This study conducted a systematic review of the sustainable and resilient CC research literature. A total of 143 high‐quality articles were shortlisted from the Web‐of‐Science (WoS) database for in‐depth content analysis. This review clarifies the existing results and highlights the trending themes and persistent gaps in research pertaining to CC in a business context and at a strategic level. It covers notably disruptions and related impacts, the relationship between sustainability and resilience in CC, decision tools for sustainable and resilient CC, CC sustainability and resilience performance areas and measurement metrics, data‐driven digital transformation for sustainable and resilient CC, and strategies for developing sustainable and resilient CC strategies. The results reveal that research on sustainable and resilient CC is growing; however, the field remains dominated by research methods that need to establish causality formally. Furthermore, the research area is fragmented into several subareas, and more conceptual and theoretical work is needed to advance the theoretical foundation of the domain. Finally, a proposed research agenda suggests 17 future avenues for improving the contribution to sustainable and resilient CC research.

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Shaping the Future of Cold Chain 4.0 Through the Lenses of Digital Transition and Sustainability

Cited by 8 publications

References 141 publications

Modeling of Sports Training Simulation Based on Energy Harvesting in Wireless Sensor Networks

Modeling of Sports Training Simulation Based on Energy Harvesting in Wireless Sensor Networks

Industrial revolution and environmental sustainability: an analytical interpretation of research constituents in Industry 4.0

Sustainable and resilient cold chains: Enhancing adaptability, consistency, and digital transformation for success in a turbulent market

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