Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Building resilience and innovation through intelligent diverse supplier engagement

Wang, Yingli ORCID: https://orcid.org/0000-0001-5630-9558, Skeete, Jean-Paul ORCID: https://orcid.org/0000-0003-2404-2910, John, Barker and Filimonov, Maxim 2022. Building resilience and innovation through intelligent diverse supplier engagement. Presented at: 10th IFAC Conference on Manufacturing Modelling, Management and Control, Nantes, France, 22-24 June 2022. Proceedings 10th IFAC Conference on Manufacturing Modelling, Management and Control.

[thumbnail of 0116.pdf]
Preview
PDF - Accepted Post-Print Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (432kB) | Preview

Abstract

This paper reports the main findings from a design science research project that sets out to explore and understand the need for a more scientific and democratised process for preselecting, vetting, and engaging start-up and SME suppliers in a manufacturing environment. The project, using aerospace manufacturing as a test case will investigate the feasibility of using artificially intelligent web-scraping, third-party APIs, and distributed ledger technologies (DLT) to provide a localised and highly automated manufacturing marketplace. This paper’s findings lend insight into emerging digital platform engagements between participating supply chain actors in open innovation environments.

Item Type: Conference or Workshop Item (Paper)
Status: In Press
Schools: Business (Including Economics)
Computer Science & Informatics
Additional Information: Accepted by IFAC for publication under a Creative Commons License CC-BY-NC-ND
Date of First Compliant Deposit: 23 June 2022
Date of Acceptance: 12 April 2022
Last Modified: 30 Nov 2022 08:08
URI: https://orca.cardiff.ac.uk/id/eprint/150750

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics