Applications of Blockchain in Industry 4.0: a Review

Chen, Yong; Lu, Yang; Bulysheva, Larisa; Kataev, Mikhail Yu.

doi:10.1007/s10796-022-10248-7

Cited by 71 publications

(27 citation statements)

References 229 publications

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“…In the literature, the potential of a variety of individual technologies like AI (Chung, 2021;Toorajipour et al, 2021), blockchain (Chen et al, 2022;Kopyto et al, 2020;Pournader et al, 2020), andIoT (Ben-Daya et al, 2019;Wang et al, 2020;Zhu et al, 2021) as well as 5G (Dolgui & Ivanov, 2022), augmented reality (AR) (Rejeb et al, 2021), cloud computing (Xu et al, 2018), and radio-frequency identification (RFID) (Fosso Wamba & Chatfield, 2011) for different logistics activities such as real-time tracking of material flows, improved transport handling as well as smart procurement and risk management has been investigated (Hofmann & Rüsch, 2017). However, Logistics 4.0 is premised on the systematic interconnection of intelligent process elements, each relying on a spectrum of digital technologies and their interplay (Delfmann et al, 2018).…”

Section: A Task-technology Perspective On Logistics 40mentioning

confidence: 99%

Leveraging Digital Technologies in Logistics 4.0: Insights on Affordances from Intralogistics Processes

et al. 2023

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Emerging digital technologies are transforming logistics processes on a large scale. Despite a growing body of knowledge on individual use cases ranging from collaborative robots to platform-based planning systems in the frontline industrial development of Logistics 4.0, organizations lack a systematic understanding of the opportunities digital technologies afford for logistics processes. To foster such understanding, this study takes an intra-organizational perspective as a central starting point for digitalization initiatives toward Logistics 4.0. It synthesizes current academic research and industrial insights from a systematic literature review and an expert interview study through an affordance lens. The result is a catalog and conceptual framework of ten digital technology affordances in intralogistics (DTAILs) and 46 practical manifestations. Thereby, this study contributes to understanding and leveraging the opportunities digital technologies afford in a leading-edge information systems application domain. It serves as a foundation for further theorizing on Logistics 4.0 and for structuring strategic discussions among organizational stakeholders.

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Section: A Task-technology Perspective On Logistics 40mentioning

confidence: 99%

Leveraging Digital Technologies in Logistics 4.0: Insights on Affordances from Intralogistics Processes

et al. 2023

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“…Blockchain proves its effectiveness in various sectors of Industry 4.0 like manufacturing, smart city, automation, supply chain, transport and logistics. Blockchain technology has the potential to be cornerstone of the automated process and production (Chen et al. , 2022).…”

Section: Fundamental Pillars For Industry 40 Developmentmentioning

confidence: 99%

Fundamental pillars for industry 4.0 development: implementation framework and challenges in manufacturing environment

Singh

Goyat

Panwar

2023

TQM

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PurposeAt the present time, Industry 4.0 has proven its effectiveness and significance in automation and data exchange within industries across different sectors worldwide. In the current literature, there is still a lack of research on adopting Industry 4.0 in the manufacturing setting in developing economies. The main purpose of the present study is to explore the fundamental pillars and framework for ease of adoption of Industry 4.0 in manufacturing environments, along with highlighting the benefits and challenges.Design/methodology/approachIn this study, a systematic literature review has been conducted through protocol, search, appraisal, synthesis, analysis, report (PSALSAR) model. In the literature, the articles are included within time span of 2008–2022, consisting keywords like Industry 4.0, blockchain, machine learning, artificial intelligence, Internet of Things, 3D printing, big data analytics, etc. Based on available literature, conceptual implementation framework of Industry 4.0 is proposed.FindingsThis study explored the key ingredients that play an essential role to bridge the gap and construct a strong relationship among physical and cyber world. The results reveals that the emerging technologies such as IoT, blockchain, artificial intelligence, augmented reality, 3D printing, big-data analytics, cloud-computing join hands to accomplish success in Industry 4.0 by reducing human interference for effective and efficient systems. In addition, the study also explored the possible benefits of emerging technologies with challenges faced by manufacturing setting during adaptation of Industry 4.0.Originality/valueAs per the authors' best knowledge, no research articles are found in literature which explore various emerging technologies in Industry 4.0 with its implementation framework in the manufacturing setting in developing economies. The main focus of the present study is to discover the literature review in defined area and find the research gap among current scenario and future trend for execution of Industry 4.0 in manufacturing environment.

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“…Hence, the concept of IoT and blockchain was developed and being applied widely in different areas of industries and applications, including finance, healthcare, utilities, real estate, logistics, education, government sectors, smart contract, smart cities and cryptocurrency [8][9][10]. With the verification of the majority within the blockchain information grid, the blockchain can operate without the necessity of a trusted third party or central authority [20].…”

Section: Internet Of Things (Iot)mentioning

confidence: 99%

A Review of Smart Contract Blockchain Based on Multi-Criteria Analysis: Challenges and Motivations

Alshahrani¹,

Kiah²,

B.³

et al. 2023

Computers, Materials &Amp; Continua

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A smart contract is a digital program of transaction protocol (rules of contract) based on the consensus architecture of blockchain. Smart contracts with Blockchain are modern technologies that have gained enormous attention in scientific and practical applications. A smart contract is the central aspect of a blockchain that facilitates blockchain as a platform outside the cryptocurrency spectrum. The development of blockchain technology, with a focus on smart contracts, has advanced significantly in recent years. However, research on the smart contract idea has weaknesses in the implementation sectors based on a decentralized network that shares an identical state. This paper extensively reviews smart contracts based on multi-criteria analysis, challenges and motivations. Therefore, implementing blockchain in multicriteria research is required to increase the efficiency of interaction between users via supporting information exchange with high trust. Implementing blockchain in the multi-criteria analysis is necessary to increase the efficiency of interaction between users via supporting information exchange and with high confidence, detecting malfunctioning, helping users with performance issues, reaching a consensus, deploying distributed solutions and allocating plans, tasks and joint missions. The smart contract with decision-making performance, planning and execution improves the implementation based on efficiency, sustainability and management. Furthermore, the uncertainty and supply chain performance lead to improved users' confidence in offering new solutions in exchange for problems in smart contacts. Evaluation includes code analysis and performance, while development performance can be under development.

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Applications of Blockchain in Industry 4.0: a Review

Cited by 71 publications

References 229 publications

Leveraging Digital Technologies in Logistics 4.0: Insights on Affordances from Intralogistics Processes

Leveraging Digital Technologies in Logistics 4.0: Insights on Affordances from Intralogistics Processes

Fundamental pillars for industry 4.0 development: implementation framework and challenges in manufacturing environment

A Review of Smart Contract Blockchain Based on Multi-Criteria Analysis: Challenges and Motivations

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