An Approach and Decision Support Tool for Forming Industry 4.0 Supply Chain CollaborationsCitation formats

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An Approach and Decision Support Tool for Forming Industry 4.0 Supply Chain Collaborations. / Cisneros Cabrera, Sonia; Pishchulov, Grigory; Sampaio, Pedro; Mehandjiev, Nikolay; Liu, Zixu; Kununka, Sophia.

In: Computers in Industry, Vol. 125, 103391, 14.01.2021, p. 1-16.

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@article{c463d4836cc94c1489186ec2565b1a80,
title = "An Approach and Decision Support Tool for Forming Industry 4.0 Supply Chain Collaborations",
abstract = "Industry 4.0 technologies, process digitalisation and automation can be applied to support the formation of supply chain collaborations in manufacturing. Underpinned by information and communication technologies, collaborations of independent companies can dynamically pool production capacities and capabilities to jointly react to new business opportunities. These collaborations may involve a wide range of enterprises with different sizes and scope that individually would not be able to tender for such new business opportunities. To form these collaborative teams, assistive processes and technologies can underpin the effort towards exploring the tender requirements, unbundling the tender into smaller tasks and finding a suitable supplier for each task. In this paper, we present an approach and a tool to support decision making concerning forming supply chain collaborations in Industry 4.0. The approach proposed is unique in integrating industry domain ontologies, assistive human-computer interaction tools and multi-criteria decision support techniques to form team compositions speeding-up the collaboration process whilst maximising the chances of forming a viable team to fulfil the tender requirements. We also show evaluation results involving stakeholders from the supply chain function pointing to the effectiveness of the proposed solution, available online as a demo.",
keywords = "Decision support systems, Digitalization, Industry 4.0, Interoperability, Ontology, Supply chain collaboration",
author = "{Cisneros Cabrera}, Sonia and Grigory Pishchulov and Pedro Sampaio and Nikolay Mehandjiev and Zixu Liu and Sophia Kununka",
year = "2021",
month = jan,
day = "14",
doi = "10.1016/j.compind.2020.103391",
language = "English",
volume = "125",
pages = "1--16",
journal = "Computers in Industry",
issn = "0166-3615",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - An Approach and Decision Support Tool for Forming Industry 4.0 Supply Chain Collaborations

AU - Cisneros Cabrera, Sonia

AU - Pishchulov, Grigory

AU - Sampaio, Pedro

AU - Mehandjiev, Nikolay

AU - Liu, Zixu

AU - Kununka, Sophia

PY - 2021/1/14

Y1 - 2021/1/14

N2 - Industry 4.0 technologies, process digitalisation and automation can be applied to support the formation of supply chain collaborations in manufacturing. Underpinned by information and communication technologies, collaborations of independent companies can dynamically pool production capacities and capabilities to jointly react to new business opportunities. These collaborations may involve a wide range of enterprises with different sizes and scope that individually would not be able to tender for such new business opportunities. To form these collaborative teams, assistive processes and technologies can underpin the effort towards exploring the tender requirements, unbundling the tender into smaller tasks and finding a suitable supplier for each task. In this paper, we present an approach and a tool to support decision making concerning forming supply chain collaborations in Industry 4.0. The approach proposed is unique in integrating industry domain ontologies, assistive human-computer interaction tools and multi-criteria decision support techniques to form team compositions speeding-up the collaboration process whilst maximising the chances of forming a viable team to fulfil the tender requirements. We also show evaluation results involving stakeholders from the supply chain function pointing to the effectiveness of the proposed solution, available online as a demo.

AB - Industry 4.0 technologies, process digitalisation and automation can be applied to support the formation of supply chain collaborations in manufacturing. Underpinned by information and communication technologies, collaborations of independent companies can dynamically pool production capacities and capabilities to jointly react to new business opportunities. These collaborations may involve a wide range of enterprises with different sizes and scope that individually would not be able to tender for such new business opportunities. To form these collaborative teams, assistive processes and technologies can underpin the effort towards exploring the tender requirements, unbundling the tender into smaller tasks and finding a suitable supplier for each task. In this paper, we present an approach and a tool to support decision making concerning forming supply chain collaborations in Industry 4.0. The approach proposed is unique in integrating industry domain ontologies, assistive human-computer interaction tools and multi-criteria decision support techniques to form team compositions speeding-up the collaboration process whilst maximising the chances of forming a viable team to fulfil the tender requirements. We also show evaluation results involving stakeholders from the supply chain function pointing to the effectiveness of the proposed solution, available online as a demo.

KW - Decision support systems

KW - Digitalization

KW - Industry 4.0

KW - Interoperability

KW - Ontology

KW - Supply chain collaboration

U2 - 10.1016/j.compind.2020.103391

DO - 10.1016/j.compind.2020.103391

M3 - Article

VL - 125

SP - 1

EP - 16

JO - Computers in Industry

JF - Computers in Industry

SN - 0166-3615

M1 - 103391

ER -