Internet of things enabled the control and optimization of supply chain cost for unmanned convenience stores

Sun, Weiqiang; Zhao, Yuanjun; Liu, Wei; Liu, Yanghui; Yang, Rongjun; Han, Chunjia

doi:10.1016/j.aej.2022.02.053

Cited by 7 publications

(5 citation statements)

References 39 publications

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“…Stackelberg game was used to solve the optimal solution of SC inventory model (Choudhury et al, 2022), and it was concluded that retailers preferred O2O model in the fresh supply chain sales mode with fresh-keeping strength. Considering freshness and consumer preference, a fresh dynamic game model on temperature control and demand function of fresh agricultural products is established, which shows that the input level of temperature control, profit and overall profit of supply chain in the three-level supply chain composed of fresh agricultural Fresh products' cold chain products suppliers, retailers and third-party logistics are positively correlated with consumer preference (Luo et al, 2022;Sun et al, 2022). In terms of the algorithm models for freshness prediction, such algorithm models as the blueberry freshness prediction model based on machine learning (Huang et al, 2023), the real-time cold chain egg freshness prediction method based on transfer learning (Kim et al, 2022), and the strawberry cold chain transportation quality perception method based on BP neural network (Qiao et al, 2022) are proposed.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Considering freshness and consumer preference, a fresh dynamic game model on temperature control and demand function of fresh agricultural products is established, which shows that the input level of temperature control, profit and overall profit of supply chain in the three-level supply chain composed of fresh agricultural products suppliers, retailers and third-party logistics are positively correlated with consumer preference (Luo et al. , 2022; Sun et al ., 2022). In terms of the algorithm models for freshness prediction, such algorithm models as the blueberry freshness prediction model based on machine learning (Huang et al.…”

Section: Literature Reviewmentioning

confidence: 99%

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An optimal decision for fresh products' cold chain considering freshness and carbon emission reduction

Liu,

Huang,

Han

et al. 2024

BFJ

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PurposeThe aim of this study was to analyze the effects of carbon reduction efforts and preservation efforts on system benefits in the cold chain industry of fresh products.Design/methodology/approachThis study develops an optimal decision game model for the fresh products in the cold chain, incorporating the retailer's preservation effort and the supplier's carbon emission reduction effort. It quantifies the relationship between carbon emission reduction effort, preservation effort and system profit. The model considers parameters like carbon trading price, consumer low-carbon preference and consumer freshness preference, reflecting real-world conditions and market trends. Numerical simulations are conducted by varying these parameters to observe their impact on system profit.FindingsUnder the carbon cap-and-trade policy, the profit of the fresh cold chain system is higher than that of the fresh cold chain system without carbon constraints, and the profit of the supplier under decentralized decision-making is increased by nine times in the simulation results. The increase in carbon trading prices can effectively improve the freshness level of fresh products cold chain, carbon emission reduction level and system profit.Originality/valueThis study comprehensively considers the factors of freshness and carbon emission reduction, provides the optimal low-carbon production decision-making reference for the fresh food cold chain and promotes the sustainable development of the fresh food cold chain.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

An optimal decision for fresh products' cold chain considering freshness and carbon emission reduction

Liu,

Huang,

Han

et al. 2024

BFJ

Self Cite

View full text Add to dashboard Cite

show abstract

“…Data security and privacy are a major concern when it comes to IoT. This is because IoT devices collect and exchange a large amount of data, which could be accessed and used without the consent of the individuals involved (Koot et al, 2021;Sun et al, 2022). In order to address this concern, it is important to ensure that IoT devices are properly secured, and that data is collected and used in accordance with data privacy laws (Misra et al, 2022).…”

Section: Internet Of Things and Supply Chain Managementmentioning

confidence: 99%

“…Scalability is another challenge that needs to be addressed in order to fully realize the potential of IoT in SCM (Koot et al, 2021;Sun et al, 2022). This is because the number of IoT devices is expected to grow exponentially in the coming years.…”

Section: Internet Of Things and Supply Chain Managementmentioning

confidence: 99%

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Supply chain management and industry 4.0

Kunrath

Dresch²,

Veit³

2022

BJO&PM

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Goal: The purpose of this study is to analyze how the elements of industry 4.0 relate to Supply Chain Management (SCM) by identifying mechanisms that promote or include these elements in the supply chain. The elements of industry 4.0 relate to the basic processes of Supply Chain Operations Reference (SCOR) when considering the literature on the subject. Design / methodology / approach: A systematic literature review was performed, and 126 articles were selected and analyzed. Content analyses were conducted to identify the main contributions of elements in SCM, explaining the mechanisms that promote or include elements in SCM and relating the elements to the basic processes of the SCOR model. Results: From the literature analysis, theoretical relations between the elements of industry 4.0 and SCM were established. An overview on the subject was provided, filling a gap in the literature. Identifying the mechanisms that promote or include elements in supply chains and the relations of elements to the SCOR model may help to guide managers for future applications of this model in a targeted manner. Limitations of investigation: This study covers only theoretical analysis on the concepts, that is, no real applications were made considering the topics addressed. Originality / value: The construction of a theoretical framework based on systematic literature review on SCM and Industry 4.0 is a contribution to the bibliographic database. Another contribution is the identification and analysis of the main contributions of elements to SCM in the processes of the SCOR model.

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Digital Supply Chain Management Transformation in Industry: A Bibliometric Study

Kamul,

Hananda,

Oktarina

2023

Lecture Notes in Electrical Engineering

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Internet of things enabled the control and optimization of supply chain cost for unmanned convenience stores

Cited by 7 publications

References 39 publications

An optimal decision for fresh products' cold chain considering freshness and carbon emission reduction

An optimal decision for fresh products' cold chain considering freshness and carbon emission reduction

Supply chain management and industry 4.0

Digital Supply Chain Management Transformation in Industry: A Bibliometric Study

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