A blockchain-based confidentiality-preserving approach to traceability in Industry 4.0

Mullet, Valentin; Sondi, Patrick; Ramat, Éric

doi:10.1007/s00170-022-10431-9

Cited by 4 publications

(1 citation statement)

References 27 publications

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“…Blockchain technology has a wide application in supply chains [32], which allows you to quickly determine the place of origin of products, helps to increase transparency, control and risk management in achieving regulatory requirements, track deliveries, and automatically take the resulting actions. The paper [33] proposes a structured methodology for making important technical design decisions to maximize the benefits of blockchain systems in project management and presents directions for new blockchain research. It is worth paying attention to the synergy between blockchain and IoT [34,35,36].…”

Section: Fig 2 Structure Of the Production Process Maintenance Systemmentioning

confidence: 99%

Application of Methods of Decentralized Systems in Management in Lean Manufacturing

Krenický,

Dyadyura,

Dmitrishin

et al. 2023

Management Systems in Production Engineering

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The emergence and subsequent popularization of lean manufacturing have become one of the most significant for improving the efficiency and productivity of operations. The use of lean manufacturing tools and methods leads to the elimination of waste in the organization. Traditional information systems that allow organizations to share information about resources while managing process performance and traceability have a number of disadvantages such as security, interoperability, and transparency. Currently, distributed ledger technology (block-chain) is widely used for this purpose. This article presents a study of decentralized management of the implementation of a distributed ledger infrastructure, which is selected based on the characteristics of the production system. This study proposes a framework that analyzes lean production methods using simulation and data envelopment analysis (DEA) to accommodate the underlying multi-objective decision-making problem. The current study examines the impact of the simultaneous application of RCA technology, lean manufacturing methods, and distributed ledger technology on the total time, costs, and time of production processes.

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