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Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain. / Dolgui, Alexandre; Ivanov, Dmitry; Potryasaev, Semyon; Sokolov, Boris; Ivanova, Marina; Werner, Frank.

In: International Journal of Production Research, Vol. 58, No. 7, 2020, p. 2184-2199.

Research output: Contribution to journalArticlepeer-review

Harvard

Dolgui, A, Ivanov, D, Potryasaev, S, Sokolov, B, Ivanova, M & Werner, F 2020, 'Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain', International Journal of Production Research, vol. 58, no. 7, pp. 2184-2199. https://doi.org/10.1080/00207543.2019.1627439, https://doi.org/10.1080/00207543.2019.1627439

APA

Dolgui, A., Ivanov, D., Potryasaev, S., Sokolov, B., Ivanova, M., & Werner, F. (2020). Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain. International Journal of Production Research, 58(7), 2184-2199. https://doi.org/10.1080/00207543.2019.1627439, https://doi.org/10.1080/00207543.2019.1627439

Vancouver

Author

Dolgui, Alexandre ; Ivanov, Dmitry ; Potryasaev, Semyon ; Sokolov, Boris ; Ivanova, Marina ; Werner, Frank. / Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain. In: International Journal of Production Research. 2020 ; Vol. 58, No. 7. pp. 2184-2199.

BibTeX

@article{b3d91089eaa443b188b47eb119902a9a,
title = "Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain",
abstract = "Recently, the applications of Blockchain technology have begun to revolutionise different aspects of supply chain (SC) management. Among others, Blockchain is a platform to execute the smart contracts in the SC as transactions. We develop and test a new model for smart contract design in the SC with multiple logistics service providers and show that this problem can be presented as a multi-processor flexible flow shop scheduling. A distinctive feature of our approach is that the execution of physical operations is modelled inside the start and completion of cyber information services. We name this modelling concept {\textquoteleft}virtual operation{\textquoteright}. The constructed model and the developed experimental environment constitute an event-driven dynamic approach to task and service composition when designing the smart contract. Our approach is also of value when considering the contract execution stage. The use of state control variables in our model allows for operations status updates in the Blockchain that in turn, feeds automated information feedbacks, disruption detection and control of contract execution. The latter launches the re-scheduling procedure, comprehensively combining planning and adaptation decisions within a unified methodological framework of dynamic control theory. The modelling complex developed can be used to design and control smart contracts in the SC.",
keywords = "Blockchain, cyber-physical supply chain, Industry 4.0, scheduling: flexible flow shop, smart contract, supply chain design, supply chain dynamics, supply chain engineering, SYSTEM, scheduling, flexible flow shop, TECHNOLOGY",
author = "Alexandre Dolgui and Dmitry Ivanov and Semyon Potryasaev and Boris Sokolov and Marina Ivanova and Frank Werner",
note = "Alexandre Dolgui, Dmitry Ivanov, Semyon Potryasaev, Boris Sokolov, Marina Ivanova & Frank Werner. Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain // International Journal of Production Research. 2020. Vol. 58. Issue 7. P.829–846. https://doi.org/10.1080/00207543.2019.1627439",
year = "2020",
doi = "10.1080/00207543.2019.1627439",
language = "English",
volume = "58",
pages = "2184--2199",
journal = "International Journal of Production Research",
issn = "0020-7543",
publisher = "Taylor & Francis",
number = "7",

}

RIS

TY - JOUR

T1 - Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain

AU - Dolgui, Alexandre

AU - Ivanov, Dmitry

AU - Potryasaev, Semyon

AU - Sokolov, Boris

AU - Ivanova, Marina

AU - Werner, Frank

N1 - Alexandre Dolgui, Dmitry Ivanov, Semyon Potryasaev, Boris Sokolov, Marina Ivanova & Frank Werner. Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain // International Journal of Production Research. 2020. Vol. 58. Issue 7. P.829–846. https://doi.org/10.1080/00207543.2019.1627439

PY - 2020

Y1 - 2020

N2 - Recently, the applications of Blockchain technology have begun to revolutionise different aspects of supply chain (SC) management. Among others, Blockchain is a platform to execute the smart contracts in the SC as transactions. We develop and test a new model for smart contract design in the SC with multiple logistics service providers and show that this problem can be presented as a multi-processor flexible flow shop scheduling. A distinctive feature of our approach is that the execution of physical operations is modelled inside the start and completion of cyber information services. We name this modelling concept ‘virtual operation’. The constructed model and the developed experimental environment constitute an event-driven dynamic approach to task and service composition when designing the smart contract. Our approach is also of value when considering the contract execution stage. The use of state control variables in our model allows for operations status updates in the Blockchain that in turn, feeds automated information feedbacks, disruption detection and control of contract execution. The latter launches the re-scheduling procedure, comprehensively combining planning and adaptation decisions within a unified methodological framework of dynamic control theory. The modelling complex developed can be used to design and control smart contracts in the SC.

AB - Recently, the applications of Blockchain technology have begun to revolutionise different aspects of supply chain (SC) management. Among others, Blockchain is a platform to execute the smart contracts in the SC as transactions. We develop and test a new model for smart contract design in the SC with multiple logistics service providers and show that this problem can be presented as a multi-processor flexible flow shop scheduling. A distinctive feature of our approach is that the execution of physical operations is modelled inside the start and completion of cyber information services. We name this modelling concept ‘virtual operation’. The constructed model and the developed experimental environment constitute an event-driven dynamic approach to task and service composition when designing the smart contract. Our approach is also of value when considering the contract execution stage. The use of state control variables in our model allows for operations status updates in the Blockchain that in turn, feeds automated information feedbacks, disruption detection and control of contract execution. The latter launches the re-scheduling procedure, comprehensively combining planning and adaptation decisions within a unified methodological framework of dynamic control theory. The modelling complex developed can be used to design and control smart contracts in the SC.

KW - Blockchain

KW - cyber-physical supply chain

KW - Industry 4.0

KW - scheduling: flexible flow shop

KW - smart contract

KW - supply chain design

KW - supply chain dynamics

KW - supply chain engineering

KW - SYSTEM

KW - scheduling

KW - flexible flow shop

KW - TECHNOLOGY

UR - http://www.scopus.com/inward/record.url?scp=85064928815&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/3a8e8d72-55c1-3f81-9db3-e964a31f3889/

U2 - 10.1080/00207543.2019.1627439

DO - 10.1080/00207543.2019.1627439

M3 - Article

AN - SCOPUS:85064928815

VL - 58

SP - 2184

EP - 2199

JO - International Journal of Production Research

JF - International Journal of Production Research

SN - 0020-7543

IS - 7

ER -

ID: 62146043