Scalable framework for blockchain-based shared manufacturing

Rožman, Nejc; Diaci, Janez; Corn, Marko

doi:10.1016/j.rcim.2021.102139

Cited by 49 publications

(36 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If two systems interact with each other mutually as in (8), this is a mutual interaction case. We use a keyword inter to specify this relationship, as in (9).…”

Section: A Basic Interaction Modelmentioning

confidence: 99%

“…We use a keyword inter to specify this relationship, as in (9). sys 1 .fprocess1(dataSys2) and sys 2 .fprocess2(dataSys1) (8) inter(sys 1 , sys 2 )…”

Section: A Basic Interaction Modelmentioning

confidence: 99%

“…Notice the notation of cross-chain interoperability [7] is also used; while in this paper, we use cross-chain interaction as it can be applied to the interaction among more general systems. Except for the connection among blockchains, cross-chain interaction also helps to improve the processing capacity of blockchains, such as the sidechain [8]. A blockchain is a decentralized system, which makes it difficult to have the same processing capacity as the centralized one.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Cross-chain Interaction Model In a Fully Verified Way

2021

Preprint

View full text Add to dashboard Cite

There are different kinds of blockchains, which have been applied in various areas. Blockchains are relatively independent systems that are apt to form isolated data islands. Then cross-chain interaction is proposed to connect different blockchains. However, the current cross-chain methods do not maintain the security of the original blockchain. They either depend on a less secure third-party system or a less secure method. This makes the cross-chain interaction less secure than the original blockchains (the security downgrade issues), or the cross-chain interaction can be done even if the paired blockchain does not exist (the blockchain invisible issue). In this paper, we first propose a system interaction model and use it to analyze the possible security issues. Based on conclusions got from the proposed model, we propose the cross-chain method that verifies the data of the paired blockchain by the consensus algorithm of the paired blockchain (the CIFuV method). With this method, the cross-chain interaction can be as the same security as in the paired blockchain. At last, we evaluate the security issues during the system interaction process, and the possibility to have the CIFuV model on the public blockchains.

show abstract

“…If two systems interact with each other mutually as in (8), this is a mutual interaction case. We use a keyword inter to specify this relationship, as in (9).…”

Section: A Basic Interaction Modelmentioning

confidence: 99%

“…We use a keyword inter to specify this relationship, as in (9). sys 1 .fprocess1(dataSys2) and sys 2 .fprocess2(dataSys1) (8) inter(sys 1 , sys 2 )…”

Section: A Basic Interaction Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Cross-chain Interaction Model In a Fully Verified Way

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Yu et al [6] proposed the blockchainbased shared manufacturing (BSM) framework in support of the application of Cyber-Physical Systems (CPS). Rozman et al [7] presented a scalable framework for blockchainbased on shared manufacturing. Wang et al [8] proposed a digital twin-driven service model and optimal allocation of manufacturing resources in shared manufacturing.…”

Section: Literature Reviewmentioning

confidence: 99%

Two-Sided Matching Model of Shared Manufacturing Resources considering Psychological Behavior of Agents

Liu

Zou

2021

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

Sharing manufacturing is a new manufacturing mode based on sharing economy, which is one of the pillars of intelligent manufacturing. This paper proposes a two-sided matching model of shared manufacturing resources considering the psychological behavior of agents. We describe the definition of two-sided matching and introduce the concept of the cloud model. The preference information of agents is transformed to values according to the cloud model. We combine prospect theory and grey relational analysis to calculate the prospect values. Furthermore, an optimization model which aims to maximize the overall satisfaction degree of matching agents is established. A numerical example for the matching of providers and demanders is provided to verify the feasibility and effectiveness of the model.

show abstract

“…The authors concluded it was difficult to find suitable and proven blockchain architectures, including design patterns for hybrid DApps and a secure design of smart contracts to facilitate industry-grade solutions. A scalable framework for shared manufacturing proposed in [ 14 ] defined a blockchain-based procedure for service execution and considered sharing economy design principles. The authors analyzed the feasibility of the proposed approach and evaluated it in a cross-chain solution.…”

Section: Introductionmentioning

confidence: 99%

Decentralized Machine Autonomy for Manufacturing Servitization

Pustišek

Chen

Kos

et al. 2022

Sensors

View full text Add to dashboard Cite

Blockchain ecosystems are rapidly maturing and meeting the needs of business environments (e.g., industry, manufacturing, and robotics). The decentralized approaches in industries enable novel business concepts, such as machine autonomy and servitization of manufacturing environments. Introducing the distributed ledger technology principles into the machine sharing and servitization economy faces several challenges, and the integration opens new interesting research questions. Our research focuses on data and event models and secure upgradeable smart contract platforms for machine servitization. Our research indicates that with the proposed approaches, we can efficiently separate on- and off-chain data and assure scalability of the DApp without compromising the trust. We demonstrate that the secure upgradeable smart contract platform, which was adapted for machine servitization, supports the business workflow and, at the same time, assures common identification and authorization of all the participants in the system, including people, devices, and legal entities. We present a hybrid decentralized application (DApp) for the servitization of 3D printing. The solution can be used for or easily adapted to other manufacturing domains. It comprises a modular, upgradeable smart contract platform and off-chain machine, customer and web management, and monitoring interfaces. We pay special attention to the data and event models during the design, which are fundamental for the hybrid data storage and DApp architecture and the responsiveness of off-chain interfaces. The smart contract platform uses a proxy contract to control the access of smart contracts and role-based access control in function calls for blockchain users. We deploy and evaluate the DApp in a consortium blockchain network for performance and privacy. All the actors in the solution, including the machines, are identified by their blockchain accounts and are compeers. Our solution thus facilitates integration with the traditional information-communication systems in terms of the hybrid architectures and security standards for smart contract design comparable to those in traditional software engineering.

show abstract

Scalable framework for blockchain-based shared manufacturing

Cited by 49 publications

References 37 publications

Cross-chain Interaction Model In a Fully Verified Way

Cross-chain Interaction Model In a Fully Verified Way

Two-Sided Matching Model of Shared Manufacturing Resources considering Psychological Behavior of Agents

Decentralized Machine Autonomy for Manufacturing Servitization

Contact Info

Product

Resources

About