IoT–Blockchain: Harnessing the Power of Internet of Thing and Blockchain for Smart Supply Chain

Azizi, Neda; Malekzadeh, Heliyeh; Akhavan, Peyman; Haass, Omid; Saremi, Shahrzad; Mirjalili, Seyedali

doi:10.3390/s21186048

Cited by 42 publications

(27 citation statements)

References 49 publications

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“…Data security and transparency is a very important factor for the success of the Industry 5.0 ecosystem. The blockchain technology has been developed and so introduced that it offers a higher level of data security using the concept of decentralized and distributed ledger systems [ 64 ]. It stores information, e.g., transactions, and makes it available to all entities.…”

Section: Industry 50 and Its Evolutionmentioning

confidence: 99%

“…This motivates the use of blockchain technology that supports a robust information system and can help to improve traceability and transparency in the supply chain from production to distribution and retail. Figure 8 illustrates the proposed blockchain-based food supply chain, where data gathered from each process are shared and stored in a distributed ledger, which is immutable [ 64 ].…”

Section: Key Enhancements To Food Supply Chain By Specific Industry 5...mentioning

confidence: 99%

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Toward Better Food Security Using Concepts from Industry 5.0

Guruswamy

Pojić

Subramanian

et al. 2022

Sensors

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The rapid growth of the world population has increased the food demand as well as the need for assurance of food quality, safety, and sustainability. However, food security can easily be compromised by not only natural hazards but also changes in food preferences, political conflicts, and food frauds. In order to contribute to building a more sustainable food system—digitally visible and processes measurable—within this review, we summarized currently available evidence for various information and communication technologies (ICTs) that can be utilized to support collaborative actions, prevent fraudulent activities, and remotely perform real-time monitoring, which has become essential, especially during the COVID-19 pandemic. The Internet of Everything, 6G, blockchain, artificial intelligence, and digital twin are gaining significant attention in recent years in anticipation of leveraging the creativity of human experts in collaboration with efficient, intelligent, and accurate machines, but with limited consideration in the food supply chain. Therefore, this paper provided a thorough review of the food system by showing how various ICT tools can help sense and quantify the food system and highlighting the key enhancements that Industry 5.0 technologies can bring. The vulnerability of the food system can be effectively mitigated with the utilization of various ICTs depending on not only the nature and severity of crisis but also the specificity of the food supply chain. There are numerous ways of implementing these technologies, and they are continuously evolving.

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Section: Industry 50 and Its Evolutionmentioning

confidence: 99%

Section: Key Enhancements To Food Supply Chain By Specific Industry 5...mentioning

confidence: 99%

Toward Better Food Security Using Concepts from Industry 5.0

Guruswamy

Pojić

Subramanian

et al. 2022

Sensors

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“…Ahmadisheykhsarmast and Sonmez [45] developed a smart contract payment security system named SMTSEC to eliminate or reduce payment issues in the construction sector. They developed SMTSEC through an automated computerised protocol which runs on a decentralised blockchain and tested the system on a real construction project.…”

Section: Smart Contractmentioning

confidence: 99%

Leveraging Smart Contract in Project Procurement through DLT to Gain Sustainable Competitive Advantages

2021

Self Cite

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Project delivery on time, with agreed quality and assigned budget, is the desire of project-based companies. Time, quality, and cost are determinants of project success; however, organisations suffer from achieving these three success criteria at the same time. Failures in project delivery cause the loss of the competitive advantage. The recent digital technologies introduce smart contracts to supply chain (SC) operations for improving SC processes. Project procurement is the area for smart contract implementation to deliver successful projects and gain sustainable competitive advantages. The aim of this study was in explaining how smart contracts benefit project organisations through project procurement. Qualitative research design guided this research with phenomenology. Semi-structured interviews generated the data. The obtained research data were analysed with thematic, textual, and discourse analysis. Published industry reports were used to triangulate the data. This study demonstrated an integrated relationship model to answer the research question. The research findings initially identified the fact that smart contracts improve procurement efficiency through cost, time, and quality. Secondly, smart contracts build a trust-less platform where reliability is delivered and reinforced with transparency, traceability, and security. This study found that enhanced procurement efficiency and reliability meet requirements to gain sustainable competitive advantages. This study intends to contribute to industry practices and future research. The correlation of project procurement management success, smart contracts, and sustainable competitive advantages are expected to guide feature research and business practices.

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“…Smart supply chain is an intelligent technology and management system built within the enterprise, integrating IoT technology with modern supply chain management theories, methods, and technologies [25]. How to construct the smart supply chain is a hot topic [26,27], and the introduction of smart supply chain technology in sand factories can promote the realization of intelligent management of sand factories.…”

Section: Introductionmentioning

confidence: 99%

Construction of a Smart Supply Chain for Sand Factory Using the Edge-Computing-Based Deep Learning Algorithm

Zhang

Ban

et al. 2022

Scientific Programming

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The diminishing natural sand has facilitated the booming of the sand manufacturing industry, and intelligent management of sand factories, in a time- and cost-efficient way, has become a growing tendency for the future. A role has been played in achieving intelligent management by constructing a smart supply chain. However, the smart sand factories are hardly involved in previously reported studies, which is inconsistent with related studies on smart factories and the Industrial Internet of Things (IIoT). In this paper, a smart supply chain management system (SSCMS) is constructed to realize the intelligence and automatization of the management of sand factories, using edge-computing and deep learning techniques. Along the supply chain, the deep learning model is used to realize the automatic identification of sand, avoiding the disadvantages of human identification, while improving the quality of sand factory operations. In order to relieve the pressure of network bandwidth, reduce system delay, and improve system operation efficiency, we use edge-computing technology to process data at the edge. To verify the performance of the constructed system, a sand factory simulation platform is established. Experiments show that the most critical indicator in the system, the accuracy rate of sand type identification, is above 98%, and the sand type identification time is only 0.022 s. In general, compared with traditional supply chain management, the constructed smart supply chain improves the quality and efficiency of sand factory operations, and all indicators of the designed system have achieved satisfactory results.

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IoT–Blockchain: Harnessing the Power of Internet of Thing and Blockchain for Smart Supply Chain

Cited by 42 publications

References 49 publications

Toward Better Food Security Using Concepts from Industry 5.0

Toward Better Food Security Using Concepts from Industry 5.0

Leveraging Smart Contract in Project Procurement through DLT to Gain Sustainable Competitive Advantages

Construction of a Smart Supply Chain for Sand Factory Using the Edge-Computing-Based Deep Learning Algorithm

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