Forming on-demand supply chain collaborations with evaluation of fit and risk

Grigory Pishchulov; Qudamah Quboa; Nikolay Mehandjiev

doi:10.1016/j.procs.2022.01.349

Forming on-demand supply chain collaborations with evaluation of fit and risk

Management Sciences

St Petersburg State University

Research output: Contribution to journal › Conference article › peer-review

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Abstract

We outline a service that underpins formation of supply-chain collaborations. Companies can use the service to search for suitable partners with the objective of forming a collaboration with them. Such collaborations are intended to be built on demand — in response to complex business opportunities that may involve designing, manufacturing and delivery of a customized product and may therefore require capabilities and capacities that a single company may not possess. Potential collaborations are being presented to the user and their fit is being evaluated according to a range of criteria that include companies’ capabilities, geographic locations, and other characteristics. In addition to the calculation of the fit implemented in the service, we propose in this work to evaluate the risks associated with the potential collaborations.

Original language	English
Pages (from-to)	1481-1487
Journal	Procedia Computer Science
Volume	200
DOIs	https://doi.org/10.1016/j.procs.2022.01.349
Publication status	Published - 8 Mar 2022
Event	International Conference on Industry 4.0 and Smart Manufacturing - Upper Austria University of Applied Sciences - Hagenberg Campus, Linz, Austria Duration: 17 Nov 2021 → 19 Nov 2021 Conference number: 3 http://www.msc-les.org/ism2021/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Digitization
Digital Platform
Supply Network
Supply Chain Collaboration
Matchmaking
Risk

Research Beacons, Institutes and Platforms

Digital Futures

Access to Document

10.1016/j.procs.2022.01.349Licence: CC BY-NC-ND

Pishchulov et al - Forming on-demand supply chain collaborations with evaluation of fit and risk - PCS 2022Final published version, 527 KBLicence: CC BY-NC-ND

The architectural design and implementation of a digital platform for Industry 4.0 SME collaboration
Liu, Z., Sampaio, P., Pishchulov, G., Mehandjiev, N., Cisneros Cabrera, S., Schirrmann , A., Jiru , F. & Bnouhanna, N., 12 Feb 2022, In: Computers in Industry. 138, 24 p., 103623.
Research output: Contribution to journal › Article › peer-review

Open Access
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An approach and decision support tool for forming Industry 4.0 supply chain collaborations
Cisneros Cabrera, S., Pishchulov, G., Sampaio, P., Mehandjiev, N., Liu, Z. & Kununka, S., 14 Jan 2021, In: Computers in Industry. 125, p. 1-16 16 p., 103391.
Research output: Contribution to journal › Article › peer-review

Open Access
File
412 Downloads (Pure)

Cite this

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title = "Forming on-demand supply chain collaborations with evaluation of fit and risk",

abstract = "We outline a service that underpins formation of supply-chain collaborations. Companies can use the service to search for suitable partners with the objective of forming a collaboration with them. Such collaborations are intended to be built on demand — in response to complex business opportunities that may involve designing, manufacturing and delivery of a customized product and may therefore require capabilities and capacities that a single company may not possess. Potential collaborations are being presented to the user and their fit is being evaluated according to a range of criteria that include companies{\textquoteright} capabilities, geographic locations, and other characteristics. In addition to the calculation of the fit implemented in the service, we propose in this work to evaluate the risks associated with the potential collaborations.",

keywords = "Digitization, Digital Platform, Supply Network, Supply Chain Collaboration, Matchmaking, Risk",

author = "Grigory Pishchulov and Qudamah Quboa and Nikolay Mehandjiev",

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N2 - We outline a service that underpins formation of supply-chain collaborations. Companies can use the service to search for suitable partners with the objective of forming a collaboration with them. Such collaborations are intended to be built on demand — in response to complex business opportunities that may involve designing, manufacturing and delivery of a customized product and may therefore require capabilities and capacities that a single company may not possess. Potential collaborations are being presented to the user and their fit is being evaluated according to a range of criteria that include companies’ capabilities, geographic locations, and other characteristics. In addition to the calculation of the fit implemented in the service, we propose in this work to evaluate the risks associated with the potential collaborations.

AB - We outline a service that underpins formation of supply-chain collaborations. Companies can use the service to search for suitable partners with the objective of forming a collaboration with them. Such collaborations are intended to be built on demand — in response to complex business opportunities that may involve designing, manufacturing and delivery of a customized product and may therefore require capabilities and capacities that a single company may not possess. Potential collaborations are being presented to the user and their fit is being evaluated according to a range of criteria that include companies’ capabilities, geographic locations, and other characteristics. In addition to the calculation of the fit implemented in the service, we propose in this work to evaluate the risks associated with the potential collaborations.

KW - Digitization

KW - Digital Platform

KW - Supply Network

KW - Supply Chain Collaboration

KW - Matchmaking

KW - Risk

U2 - 10.1016/j.procs.2022.01.349

DO - 10.1016/j.procs.2022.01.349

M3 - Conference article

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JO - Procedia Computer Science

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T2 - International Conference on Industry 4.0 and Smart Manufacturing

Y2 - 17 November 2021 through 19 November 2021

ER -

Forming on-demand supply chain collaborations with evaluation of fit and risk

Abstract

UN SDGs

Keywords

Research Beacons, Institutes and Platforms

Access to Document

Fingerprint

Research output

The architectural design and implementation of a digital platform for Industry 4.0 SME collaboration

An approach and decision support tool for forming Industry 4.0 supply chain collaborations

Cite this